Amy J Youngbloom, Maya Rowland, Stephen J Mooney, Kaitlin Singer, Adam Szpiro, Brian E Saelens
Background: Physical activity (PA) interventions can increase levels of PA to help participants meet recommended levels. The impact of PA interventions may be affected by an individual's neighborhood environment, including attributes such as walkability, crime rates, or greenspace availability, but research to date has lacked the power and geographic spread to adequately assess the role of the environment.
Objective: The Interventions Supporting Physical Activity and the Environment (InSPACE) study used the Automatic Context Measurement Tool (ACMT) to gather environmental measures for participants around their home address in completed lifestyle intervention trials across the United States, then pooled and harmonized demographic and device-based activity data, creating a dataset for use in assessing the moderation effect of neighborhood attributes on interventions to increase PA.
Methods: PA intervention trials were recruited from across the United States, and trialists were instructed in the use of the ACMT to geocode and collect prespecified environmental measures. The InSPACE research team gathered deidentified data from trialists, including demographics, raw accelerometry data, and ACMT-generated environmental measures and harmonized data to create a pooled dataset of PA intervention trial participants.
Results: As of August 2025, a total of 39 PA intervention trials have been recruited and data from 31 of these trials have been processed and harmonized, creating a current pooled dataset of 4471 participants with any harmonized data, of whom 4360 (97.5%) have linked environmental data and 2208 (49.4%) have specified (3 days of at least 8 hours per day) accelerometry data for both baseline and postintervention. Results from the primary analysis for the InSPACE project are expected to be published in late 2026.
Conclusions: InSPACE will contribute to understanding the role of the environment in moderating the effect of interventions to increase PA. The protocols and processes of InSPACE can inform future projects in pooled data harmonization and analysis.
{"title":"Investigating the Role of the Environment on Physical Activity Interventions (the InSPACE Project): Protocol for a Pooled Secondary Analysis of Randomized Controlled Trials.","authors":"Amy J Youngbloom, Maya Rowland, Stephen J Mooney, Kaitlin Singer, Adam Szpiro, Brian E Saelens","doi":"10.2196/83151","DOIUrl":"10.2196/83151","url":null,"abstract":"<p><strong>Background: </strong>Physical activity (PA) interventions can increase levels of PA to help participants meet recommended levels. The impact of PA interventions may be affected by an individual's neighborhood environment, including attributes such as walkability, crime rates, or greenspace availability, but research to date has lacked the power and geographic spread to adequately assess the role of the environment.</p><p><strong>Objective: </strong>The Interventions Supporting Physical Activity and the Environment (InSPACE) study used the Automatic Context Measurement Tool (ACMT) to gather environmental measures for participants around their home address in completed lifestyle intervention trials across the United States, then pooled and harmonized demographic and device-based activity data, creating a dataset for use in assessing the moderation effect of neighborhood attributes on interventions to increase PA.</p><p><strong>Methods: </strong>PA intervention trials were recruited from across the United States, and trialists were instructed in the use of the ACMT to geocode and collect prespecified environmental measures. The InSPACE research team gathered deidentified data from trialists, including demographics, raw accelerometry data, and ACMT-generated environmental measures and harmonized data to create a pooled dataset of PA intervention trial participants.</p><p><strong>Results: </strong>As of August 2025, a total of 39 PA intervention trials have been recruited and data from 31 of these trials have been processed and harmonized, creating a current pooled dataset of 4471 participants with any harmonized data, of whom 4360 (97.5%) have linked environmental data and 2208 (49.4%) have specified (3 days of at least 8 hours per day) accelerometry data for both baseline and postintervention. Results from the primary analysis for the InSPACE project are expected to be published in late 2026.</p><p><strong>Conclusions: </strong>InSPACE will contribute to understanding the role of the environment in moderating the effect of interventions to increase PA. The protocols and processes of InSPACE can inform future projects in pooled data harmonization and analysis.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e83151"},"PeriodicalIF":1.5,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12826096/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146018495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Pericoronitis is a common pathological condition associated with mandibular third molars that may cause pain and discomfort. This condition may be chronic, exhibiting episodic symptoms that last for a few days to weeks and recurring multiple times in less than a year. The operculum covering the erupting mandibular third molars may become obscured by the eruption of maxillary third molars. Such recurrent traumas might exacerbate the symptoms and lead to ulcerations. With clinical monitoring at regular intervals and with the help of radiographic examinations, clinicians can develop the most effective treatment plan.
Objective: This study aims to determine the association between mandibular third molar position and recurrent pericoronitis.
Methods: This cross-sectional study will include 200 patients having partially impacted mandibular third molar with recurrent pericoronitis. Patients aged 18-40 years with occurrence of pericoronitis will be included in this study. The impacted tooth's side and the symptoms associated with pericoronitis will be recorded during clinical examination. All these patients will be evaluated using panoramic radiographs to assess the position of the unerupted/impacted mandibular third molar.
Results: The duration of this study will be 6 months from October 2025 to April 2026. Approval for this study has been granted by the institutional ethics committee of Datta Meghe Institute of Higher Education and Research (deemed to be university), Sawangi, Wardha (DMIHER (DU)/IEC/2024/53). In panoramic radiographs, the impaction status of the mandibular third molar will be evaluated based on Winter's and Pell and Gregory classification systems. Patients' data will be recorded and analyzed for statistical significance.
Conclusions: The detection of the position and intervention at the early stage for pericoronitis in individuals with impacted third molars is vital.
International registered report identifier (irrid): PRR1-10.2196/72682.
{"title":"Association Between Mandibular Third Molar Position and Recurrent Pericoronitis: Protocol for a Cross-Sectional Study.","authors":"Suwarna Dangore-Khasbage, Tanaya Teredesai","doi":"10.2196/72682","DOIUrl":"10.2196/72682","url":null,"abstract":"<p><strong>Background: </strong>Pericoronitis is a common pathological condition associated with mandibular third molars that may cause pain and discomfort. This condition may be chronic, exhibiting episodic symptoms that last for a few days to weeks and recurring multiple times in less than a year. The operculum covering the erupting mandibular third molars may become obscured by the eruption of maxillary third molars. Such recurrent traumas might exacerbate the symptoms and lead to ulcerations. With clinical monitoring at regular intervals and with the help of radiographic examinations, clinicians can develop the most effective treatment plan.</p><p><strong>Objective: </strong>This study aims to determine the association between mandibular third molar position and recurrent pericoronitis.</p><p><strong>Methods: </strong>This cross-sectional study will include 200 patients having partially impacted mandibular third molar with recurrent pericoronitis. Patients aged 18-40 years with occurrence of pericoronitis will be included in this study. The impacted tooth's side and the symptoms associated with pericoronitis will be recorded during clinical examination. All these patients will be evaluated using panoramic radiographs to assess the position of the unerupted/impacted mandibular third molar.</p><p><strong>Results: </strong>The duration of this study will be 6 months from October 2025 to April 2026. Approval for this study has been granted by the institutional ethics committee of Datta Meghe Institute of Higher Education and Research (deemed to be university), Sawangi, Wardha (DMIHER (DU)/IEC/2024/53). In panoramic radiographs, the impaction status of the mandibular third molar will be evaluated based on Winter's and Pell and Gregory classification systems. Patients' data will be recorded and analyzed for statistical significance.</p><p><strong>Conclusions: </strong>The detection of the position and intervention at the early stage for pericoronitis in individuals with impacted third molars is vital.</p><p><strong>International registered report identifier (irrid): </strong>PRR1-10.2196/72682.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e72682"},"PeriodicalIF":1.5,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12873559/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146010523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lena Kraft, Anna-Lena Brecher, Sophia Sgraja, Reinhard Busse, Volker Eric Amelung
<p><strong>Background: </strong>Germany's health care system continues to face significant challenges in its digital transformation due to outdated structures, interoperability issues, strict data protection regulations, and low user acceptance, despite numerous legislative initiatives, such as the Digital Care Act in 2019, which was intended to promote practical use and innovation. In contrast, several international health care systems have successfully advanced their digital transformation, offering valuable insights and potential lessons for the German health care system.</p><p><strong>Objective: </strong>This study, as part of the research project "NADI: Benefits and Acceptance of Digital Health," analyzes international health care systems to identify key success factors and develop pragmatic recommendations for German policymakers to enhance the country's digital health implementation.</p><p><strong>Methods: </strong>This study uses a mixed methods triangulation approach, combining case study selection, qualitative expert interviews, and a quantitative online survey to develop actionable policy recommendations for the digital transformation of health care in Germany. The study applies the conceptual framework of tipping points and success factors to identify critical factors in the digital transformation of health care systems, where certain actions or conditions fundamentally influence adoption and success. A total of more than 100 interviews were conducted with experts representing 8 stakeholder groups from 9 different health care systems. The qualitative data are evaluated using qualitative content analysis according to Kuckartz and Rädiker. In an online survey, a minimum of 305 participants from the German health care system will be surveyed regarding the relevance and feasibility of the key success factors identified in the international case studies. The dataset will be analyzed statistically using SPSS, both descriptively and inferentially (eg, subgroup analyses).</p><p><strong>Results: </strong>Between November 2024 and September 2025, interviews with international health care experts were conducted. As of October 2025, the qualitative content analysis is still ongoing. The recruitment phase for the online survey is planned from October 15 to December 15, 2025. Initial results are expected to be available in 2026. The study protocol was submitted during the qualitative data collection phase before the commencement of the quantitative survey. Analysis had not yet begun at the time of submission.</p><p><strong>Conclusions: </strong>The use of a case study methodology has been demonstrated to facilitate the acquisition of invaluable insights into international best practices, while concurrently offering the opportunity to identify specific success and failure factors. The integration of qualitative expert interviews serves to contextualize international findings on tipping points and success factors in the implementation and use of digi
{"title":"International Case Studies to Identify Success Factors and Contextual Conditions in the Digital Transformation of Health Care Systems and Derive Lessons for Germany: Study Protocol for a Mixed Methods Study.","authors":"Lena Kraft, Anna-Lena Brecher, Sophia Sgraja, Reinhard Busse, Volker Eric Amelung","doi":"10.2196/80301","DOIUrl":"10.2196/80301","url":null,"abstract":"<p><strong>Background: </strong>Germany's health care system continues to face significant challenges in its digital transformation due to outdated structures, interoperability issues, strict data protection regulations, and low user acceptance, despite numerous legislative initiatives, such as the Digital Care Act in 2019, which was intended to promote practical use and innovation. In contrast, several international health care systems have successfully advanced their digital transformation, offering valuable insights and potential lessons for the German health care system.</p><p><strong>Objective: </strong>This study, as part of the research project \"NADI: Benefits and Acceptance of Digital Health,\" analyzes international health care systems to identify key success factors and develop pragmatic recommendations for German policymakers to enhance the country's digital health implementation.</p><p><strong>Methods: </strong>This study uses a mixed methods triangulation approach, combining case study selection, qualitative expert interviews, and a quantitative online survey to develop actionable policy recommendations for the digital transformation of health care in Germany. The study applies the conceptual framework of tipping points and success factors to identify critical factors in the digital transformation of health care systems, where certain actions or conditions fundamentally influence adoption and success. A total of more than 100 interviews were conducted with experts representing 8 stakeholder groups from 9 different health care systems. The qualitative data are evaluated using qualitative content analysis according to Kuckartz and Rädiker. In an online survey, a minimum of 305 participants from the German health care system will be surveyed regarding the relevance and feasibility of the key success factors identified in the international case studies. The dataset will be analyzed statistically using SPSS, both descriptively and inferentially (eg, subgroup analyses).</p><p><strong>Results: </strong>Between November 2024 and September 2025, interviews with international health care experts were conducted. As of October 2025, the qualitative content analysis is still ongoing. The recruitment phase for the online survey is planned from October 15 to December 15, 2025. Initial results are expected to be available in 2026. The study protocol was submitted during the qualitative data collection phase before the commencement of the quantitative survey. Analysis had not yet begun at the time of submission.</p><p><strong>Conclusions: </strong>The use of a case study methodology has been demonstrated to facilitate the acquisition of invaluable insights into international best practices, while concurrently offering the opportunity to identify specific success and failure factors. The integration of qualitative expert interviews serves to contextualize international findings on tipping points and success factors in the implementation and use of digi","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e80301"},"PeriodicalIF":1.5,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12822856/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146018176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yoshiyasu Ito, Mika Moriyama, Akemi Nasu, Keiko Kamitani, Shimpei Hayashi, Satoko Ono, Yasuko Sumida, Keiko Matsumoto, Misae Ito
Background: Shared decision-making (SDM) is a collaborative process that integrates patients' values and preferences into health care decisions. In intensive care units, patients who are critically ill often lack the capacity to make decisions, necessitating surrogates to make complex choices regarding life-sustaining treatments (LSTs).
Objective: This scoping review aims to assess the range of research conducted on surrogate SDM for LSTs among patients who are critically ill over the past decade and highlight areas where current research remains limited.
Methods: This scoping review will follow the Joanna Briggs Institute methodology and adhere to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) reporting guidelines. Studies will be included if they examine SDM involving surrogates of adult patients who are critically ill in relation to LST decisions within intensive care unit settings. SDM is defined using 4 criteria: participation of both health care professionals and surrogates, mutual information sharing, consensus building, and agreement on treatment based on the patient's values and preferences. A comprehensive search will be performed across PubMed, CINAHL, PsycInfo, CENTRAL, and Ichushi-Web for English- and Japanese-language studies published between 2016 and 2025. Eligible study designs will include quantitative, qualitative, and mixed methods research. Title and abstract screening, as well as full-text selection, will be conducted independently by 2 reviewers using Rayyan. Data will be extracted on study characteristics, SDM definitions, participant roles, and key findings. Results will be synthesized descriptively and presented in tables and narrative summaries to identify research gaps and inform future investigations.
Results: As of June 13, 2025, the literature search has been completed. A total of 2899 citations were identified through the specified database searches, and 527 (18.2%) duplicates were removed. Title and abstract screening are currently in progress, and full-text review is expected to be completed by September 2025.
Conclusions: This scoping review will systematically map recent evidence on surrogate SDM in the context of LST decisions for patients who are critically ill. By synthesizing diverse studies, it will identify challenges faced by surrogates and summarize existing interventions that aim to improve SDM processes. The findings are expected to inform future interventions and policies and advance patient- and family-centered care in critical care settings.
{"title":"Shared Decision-Making With a Surrogate for Life-Sustaining Treatment of Critically Ill Patients: Protocol for a Scoping Review.","authors":"Yoshiyasu Ito, Mika Moriyama, Akemi Nasu, Keiko Kamitani, Shimpei Hayashi, Satoko Ono, Yasuko Sumida, Keiko Matsumoto, Misae Ito","doi":"10.2196/83284","DOIUrl":"10.2196/83284","url":null,"abstract":"<p><strong>Background: </strong>Shared decision-making (SDM) is a collaborative process that integrates patients' values and preferences into health care decisions. In intensive care units, patients who are critically ill often lack the capacity to make decisions, necessitating surrogates to make complex choices regarding life-sustaining treatments (LSTs).</p><p><strong>Objective: </strong>This scoping review aims to assess the range of research conducted on surrogate SDM for LSTs among patients who are critically ill over the past decade and highlight areas where current research remains limited.</p><p><strong>Methods: </strong>This scoping review will follow the Joanna Briggs Institute methodology and adhere to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) reporting guidelines. Studies will be included if they examine SDM involving surrogates of adult patients who are critically ill in relation to LST decisions within intensive care unit settings. SDM is defined using 4 criteria: participation of both health care professionals and surrogates, mutual information sharing, consensus building, and agreement on treatment based on the patient's values and preferences. A comprehensive search will be performed across PubMed, CINAHL, PsycInfo, CENTRAL, and Ichushi-Web for English- and Japanese-language studies published between 2016 and 2025. Eligible study designs will include quantitative, qualitative, and mixed methods research. Title and abstract screening, as well as full-text selection, will be conducted independently by 2 reviewers using Rayyan. Data will be extracted on study characteristics, SDM definitions, participant roles, and key findings. Results will be synthesized descriptively and presented in tables and narrative summaries to identify research gaps and inform future investigations.</p><p><strong>Results: </strong>As of June 13, 2025, the literature search has been completed. A total of 2899 citations were identified through the specified database searches, and 527 (18.2%) duplicates were removed. Title and abstract screening are currently in progress, and full-text review is expected to be completed by September 2025.</p><p><strong>Conclusions: </strong>This scoping review will systematically map recent evidence on surrogate SDM in the context of LST decisions for patients who are critically ill. By synthesizing diverse studies, it will identify challenges faced by surrogates and summarize existing interventions that aim to improve SDM processes. The findings are expected to inform future interventions and policies and advance patient- and family-centered care in critical care settings.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e83284"},"PeriodicalIF":1.5,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12822866/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146018442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Conventional amblyopia treatment involves the occlusion of the fellow eye using an eye patch. However, this approach imposes a substantial psychological and physical burden on pediatric patients with amblyopia, resulting in low adherence and suboptimal visual outcomes. As responsiveness to therapy declines beyond early childhood, treatments that can enhance adherence and improve efficacy are needed. We developed a virtual reality dichoptic training app (VR app) that integrates gamification and hand-eye coordination training in pediatric patients with amblyopia.
Objective: This study investigated the effect of a VR app on visual acuity improvement in pediatric patients with amblyopia compared with conventional occlusion therapy using an eye patch.
Methods: This is a multicenter, open-label, prospective, randomized controlled trial that will be conducted at 3 centers in Tokyo, Japan. Pediatric patients aged 3-10 years with anisometropic, strabismic, or refractive amblyopia will be enrolled. Participants will be assigned 1:1 to a VR app group or a control group. The VR app group will use the VR app at home for 1 hour per day for 6 months. The control group will undergo conventional occlusion therapy with an eye patch for 6 months. Each group will comprise 15 participants (30 participants in total). Ophthalmologic examinations will be performed at baseline and at weeks 4, 8, 12, 16, 20, and 24. The primary endpoint will be the change in the best-corrected visual acuity in the amblyopic eye from baseline to week 12. Secondary endpoints will include changes in best-corrected visual acuity, stereopsis, and ocular deviation through week 24. We will also assess treatment adherence, defined as the ratio of the cumulative actual treatment time to the cumulative prescribed time; record adverse events, and evaluate usability in the VR app group. Longitudinal changes in outcome measures will be analyzed using a mixed-effects model.
Results: Participant enrollment will start from January 1, 2026, to September 30, 2026. The data analysis will begin on October 1, 2026, and the results will be reported by March 31, 2027.
Conclusions: This study will clarify the effectiveness of the newly developed VR app in improving treatment outcomes and adherence among pediatric patients with amblyopia. By addressing the limitations of conventional occlusion therapy and providing a potentially more efficacious and acceptable treatment option, the VR app may enhance clinical outcomes and represent a paradigm shift in the treatment of pediatric amblyopia.
{"title":"Virtual Reality-Based Program for Pediatric Patients With Amblyopia: Protocol for a Multicenter, Randomized, Open-Label, Two-Arm Study.","authors":"Ken Nagino, Yuichi Okumura, Masakazu Hirota, Saiko Matsumura, Tadashi Matsumoto, Takashi Negishi, Akie Midorikawa-Inomata, Makiko Ui, Takao Hayashi, Yuichi Hori, Shintaro Nakao, Takenori Inomata","doi":"10.2196/85194","DOIUrl":"10.2196/85194","url":null,"abstract":"<p><strong>Background: </strong>Conventional amblyopia treatment involves the occlusion of the fellow eye using an eye patch. However, this approach imposes a substantial psychological and physical burden on pediatric patients with amblyopia, resulting in low adherence and suboptimal visual outcomes. As responsiveness to therapy declines beyond early childhood, treatments that can enhance adherence and improve efficacy are needed. We developed a virtual reality dichoptic training app (VR app) that integrates gamification and hand-eye coordination training in pediatric patients with amblyopia.</p><p><strong>Objective: </strong>This study investigated the effect of a VR app on visual acuity improvement in pediatric patients with amblyopia compared with conventional occlusion therapy using an eye patch.</p><p><strong>Methods: </strong>This is a multicenter, open-label, prospective, randomized controlled trial that will be conducted at 3 centers in Tokyo, Japan. Pediatric patients aged 3-10 years with anisometropic, strabismic, or refractive amblyopia will be enrolled. Participants will be assigned 1:1 to a VR app group or a control group. The VR app group will use the VR app at home for 1 hour per day for 6 months. The control group will undergo conventional occlusion therapy with an eye patch for 6 months. Each group will comprise 15 participants (30 participants in total). Ophthalmologic examinations will be performed at baseline and at weeks 4, 8, 12, 16, 20, and 24. The primary endpoint will be the change in the best-corrected visual acuity in the amblyopic eye from baseline to week 12. Secondary endpoints will include changes in best-corrected visual acuity, stereopsis, and ocular deviation through week 24. We will also assess treatment adherence, defined as the ratio of the cumulative actual treatment time to the cumulative prescribed time; record adverse events, and evaluate usability in the VR app group. Longitudinal changes in outcome measures will be analyzed using a mixed-effects model.</p><p><strong>Results: </strong>Participant enrollment will start from January 1, 2026, to September 30, 2026. The data analysis will begin on October 1, 2026, and the results will be reported by March 31, 2027.</p><p><strong>Conclusions: </strong>This study will clarify the effectiveness of the newly developed VR app in improving treatment outcomes and adherence among pediatric patients with amblyopia. By addressing the limitations of conventional occlusion therapy and providing a potentially more efficacious and acceptable treatment option, the VR app may enhance clinical outcomes and represent a paradigm shift in the treatment of pediatric amblyopia.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e85194"},"PeriodicalIF":1.5,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12822861/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146018404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Veronica L Richards, Ashlea Braun, Michael R Sladek, Junru Zhao, Thad Leffingwell, Sydney Newell Chesebro, Julie M Croff
Background: Alcohol-induced blackouts (AIBs) are a serious consequence of alcohol use that are strongly associated with experiencing excess alcohol-related harms. AIBs are common and recurrent among young adults who drink. The risk factors for AIBs include dynamics of alcohol use (quantity, speed, duration), alcohol-related behaviors (eg, playing drinking games, not using protective behavioral strategies), and factors related to the subjective experience of alcohol intoxication (eg, expectancies, motivations).
Objective: This study seeks to examine 2 modifiable behaviors that have been shown to impact both alcohol consumption and subjective experiences of intoxication and may therefore be associated with AIB risk: (1) other substance use and (2) sleep.
Methods: Approximately 50 participants will be recruited to participate in this study. Interested individuals will complete an online screening assessment, and those who are eligible (young adults who report recent heavy episodic drinking and AIBs) will be invited to an in-person baseline visit. At the baseline visit, participants will complete a baseline assessment, be fitted with a wrist-worn alcohol sensor (BACtrack Skyn) and a sleep or activity ring sensor (Oura ring), and receive training on the study protocol. Participants will complete a 14-day intensive data collection period consisting of twice daily scheduled mobile surveys and participant-initiated drinking surveys with hourly follow-ups. Participants will also wear the alcohol and sleep or activity sensors continuously during this 14-day period. After the intensive data collection period ends, participants will complete an in-person return visit to return their sensors, complete a follow-up survey, and receive compensation. The data will be processed and cleaned, and analyses will include multi-level structural equation models.
Results: This study was funded in July 2025. Data collection is projected to span January 2026 through June 2026.
Conclusions: This study seeks to understand 2 key modifiable behaviors that may be associated with increased AIB risk by leveraging multiple forms of innovative measurement. The integration of ecological momentary assessments with 2 sensors to capture alcohol use and sleep also supports potential applications in future digital interventions. This study will further enhance our preliminary data on the feasibility and acceptability of these methods, providing opportunities for conducting future research on a larger scale.
{"title":"Using Alcohol and Sleep Sensors to Understand Blackout Risk in Young Adults' Natural Settings (The Lights Out Study): Protocol for an Intensive Longitudinal Pilot Study.","authors":"Veronica L Richards, Ashlea Braun, Michael R Sladek, Junru Zhao, Thad Leffingwell, Sydney Newell Chesebro, Julie M Croff","doi":"10.2196/83980","DOIUrl":"10.2196/83980","url":null,"abstract":"<p><strong>Background: </strong>Alcohol-induced blackouts (AIBs) are a serious consequence of alcohol use that are strongly associated with experiencing excess alcohol-related harms. AIBs are common and recurrent among young adults who drink. The risk factors for AIBs include dynamics of alcohol use (quantity, speed, duration), alcohol-related behaviors (eg, playing drinking games, not using protective behavioral strategies), and factors related to the subjective experience of alcohol intoxication (eg, expectancies, motivations).</p><p><strong>Objective: </strong>This study seeks to examine 2 modifiable behaviors that have been shown to impact both alcohol consumption and subjective experiences of intoxication and may therefore be associated with AIB risk: (1) other substance use and (2) sleep.</p><p><strong>Methods: </strong>Approximately 50 participants will be recruited to participate in this study. Interested individuals will complete an online screening assessment, and those who are eligible (young adults who report recent heavy episodic drinking and AIBs) will be invited to an in-person baseline visit. At the baseline visit, participants will complete a baseline assessment, be fitted with a wrist-worn alcohol sensor (BACtrack Skyn) and a sleep or activity ring sensor (Oura ring), and receive training on the study protocol. Participants will complete a 14-day intensive data collection period consisting of twice daily scheduled mobile surveys and participant-initiated drinking surveys with hourly follow-ups. Participants will also wear the alcohol and sleep or activity sensors continuously during this 14-day period. After the intensive data collection period ends, participants will complete an in-person return visit to return their sensors, complete a follow-up survey, and receive compensation. The data will be processed and cleaned, and analyses will include multi-level structural equation models.</p><p><strong>Results: </strong>This study was funded in July 2025. Data collection is projected to span January 2026 through June 2026.</p><p><strong>Conclusions: </strong>This study seeks to understand 2 key modifiable behaviors that may be associated with increased AIB risk by leveraging multiple forms of innovative measurement. The integration of ecological momentary assessments with 2 sensors to capture alcohol use and sleep also supports potential applications in future digital interventions. This study will further enhance our preliminary data on the feasibility and acceptability of these methods, providing opportunities for conducting future research on a larger scale.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e83980"},"PeriodicalIF":1.5,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12822870/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146018476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: More than 20 million individuals worldwide, especially in the Vidarbha region of India, are affected by sickle cell anemia (SCA), a hereditary condition that results in aberrant hemoglobin S and red blood cell distortion. The condition leads to anemia, organ complications, and recurrent pain crises, making region-specific data necessary for efficient therapy and public health initiatives.
Objective: The goal of the study is to examine the clinical characteristics and unusual manifestations of SCA in the Vidarbha region, with an emphasis on dietary practices, clinical presentations, demographic distribution, and lifestyle factors such as alcohol consumption and smoking.
Methods: This observational cross-sectional study with random sampling will be conducted at Acharya Vinoba Bhave Rural Hospital in Wardha for 3 months. We will recruit 131 individuals aged 18 to 50 years with dominant hemoglobin S and a positive sickling test. A standardized questionnaire addressing clinical symptoms, nutrition, substance use, inheritance patterns, and demographic information will be used to gather data. SPSS (version 17; IBM Corp) will be used for statistical analysis. Data will be summarized using descriptive statistics. Group differences will be evaluated using inferential tests such as 1-way ANOVA, independent 2-tailed t tests, and chi-square tests. Associations between symptoms and lifestyle variables will be investigated by correlation analysis. Statistical significance is defined as a 2-tailed P value <.05.
Results: The anticipated findings may support the need for targeted regional public health initiatives and underscore the importance of comprehensive screening, detailed patient history, and tailored care strategies for individuals with SCA. As of January 2026, this observational study has not received external funding. Participant recruitment and data collection commenced in January 2026 and are currently ongoing. Data analysis will be undertaken following completion of data collection, and the final results are expected to be submitted for publication in April 2026.
Conclusions: The findings will support the need for focused regional public health initiatives and emphasize the need for thorough screening, patient history, and customized care techniques for SCA.
背景:全世界有超过2000万人患有镰状细胞性贫血(SCA),特别是在印度的Vidarbha地区,这是一种导致血红蛋白S异常和红细胞畸变的遗传性疾病。这种疾病会导致贫血、器官并发症和复发性疼痛危机,因此需要针对特定区域的数据来进行有效治疗和采取公共卫生行动。目的:本研究的目的是检查维达巴地区SCA的临床特征和异常表现,重点是饮食习惯、临床表现、人口分布和生活方式因素,如饮酒和吸烟。方法:本观察性横断面随机抽样研究将在瓦尔达Acharya Vinoba Bhave农村医院进行为期3个月的研究。我们将招募年龄在18至50岁之间的131名显性血红蛋白S和镰状细胞试验阳性的个体。收集数据将使用一份涉及临床症状、营养、物质使用、遗传模式和人口统计信息的标准化问卷。将使用SPSS (version 17; IBM Corp)进行统计分析。数据将使用描述性统计进行汇总。采用单因素方差分析、独立双尾t检验和卡方检验等推理检验评估组间差异。将通过相关分析调查症状与生活方式变量之间的关系。结果:预期的研究结果可能支持有针对性的区域公共卫生倡议的必要性,并强调了对SCA患者进行全面筛查、详细病史和量身定制护理策略的重要性。截至2026年1月,该观察性研究尚未获得外部资助。参与者招募和数据收集于2026年1月开始,目前正在进行中。数据收集完成后将进行数据分析,预计最终结果将于2026年4月提交发表。结论:研究结果将支持有重点的区域公共卫生倡议的必要性,并强调对SCA进行彻底筛查、患者病史和定制护理技术的必要性。
{"title":"Sickle Cell Disease at a Tertiary Care Center in the Vidarbha Region of India: Protocol for a Clinical and Observational Study.","authors":"Tanushree Budhbaware, Jaishriram Rathored","doi":"10.2196/80483","DOIUrl":"10.2196/80483","url":null,"abstract":"<p><strong>Background: </strong>More than 20 million individuals worldwide, especially in the Vidarbha region of India, are affected by sickle cell anemia (SCA), a hereditary condition that results in aberrant hemoglobin S and red blood cell distortion. The condition leads to anemia, organ complications, and recurrent pain crises, making region-specific data necessary for efficient therapy and public health initiatives.</p><p><strong>Objective: </strong>The goal of the study is to examine the clinical characteristics and unusual manifestations of SCA in the Vidarbha region, with an emphasis on dietary practices, clinical presentations, demographic distribution, and lifestyle factors such as alcohol consumption and smoking.</p><p><strong>Methods: </strong>This observational cross-sectional study with random sampling will be conducted at Acharya Vinoba Bhave Rural Hospital in Wardha for 3 months. We will recruit 131 individuals aged 18 to 50 years with dominant hemoglobin S and a positive sickling test. A standardized questionnaire addressing clinical symptoms, nutrition, substance use, inheritance patterns, and demographic information will be used to gather data. SPSS (version 17; IBM Corp) will be used for statistical analysis. Data will be summarized using descriptive statistics. Group differences will be evaluated using inferential tests such as 1-way ANOVA, independent 2-tailed t tests, and chi-square tests. Associations between symptoms and lifestyle variables will be investigated by correlation analysis. Statistical significance is defined as a 2-tailed P value <.05.</p><p><strong>Results: </strong>The anticipated findings may support the need for targeted regional public health initiatives and underscore the importance of comprehensive screening, detailed patient history, and tailored care strategies for individuals with SCA. As of January 2026, this observational study has not received external funding. Participant recruitment and data collection commenced in January 2026 and are currently ongoing. Data analysis will be undertaken following completion of data collection, and the final results are expected to be submitted for publication in April 2026.</p><p><strong>Conclusions: </strong>The findings will support the need for focused regional public health initiatives and emphasize the need for thorough screening, patient history, and customized care techniques for SCA.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e80483"},"PeriodicalIF":1.5,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12823013/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146018444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luqman Lawal, Christopher Paton, Mike English, Bruno Holthof, Tabitha Preston
<p><strong>Background: </strong>Artificial intelligence (AI)-powered analysis of electrocardiograms (ECGs) is reshaping cardiac diagnostics, offering faster and often more accurate detection of conditions such as arrhythmias and heart failure. However, growing evidence suggests that algorithmic bias, defined as performance disparities across patient subgroups, may undermine diagnostic equity. These biases can emerge at any stage of the AI life cycle, including data collection, model development, evaluation, deployment, and clinical use. If unaddressed, they risk exacerbating health disparities, particularly in underrepresented populations and low-resource settings. Early identification and mitigation of such bias are essential to ensuring diagnostic equity.</p><p><strong>Objective: </strong>This scoping review protocol outlines a structured approach to mapping the evidence on algorithmic bias in AI-enabled ECG interpretation. Following the population-concept-context framework and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidance, the planned review will systematically identify and categorize reported sources and types of bias, examine their effects on diagnostic performance across demographic and geographic subgroups, and document mitigation strategies applied throughout the AI life cycle. By synthesizing how bias and fairness considerations are handled in this field, this review aims to clarify existing evidence, highlight key gaps, and inform future efforts toward equitable and clinically trustworthy application of AI in cardiology.</p><p><strong>Methods: </strong>We will conduct a comprehensive literature search across 5 electronic databases (PubMed, Embase, Cochrane CENTRAL, CINAHL, and IEEE Xplore) and gray literature sources. Eligible studies will include original research (2015-2025) evaluating the performance of AI-based ECG models across different subgroups or reporting on bias mitigation strategies. Two reviewers will independently screen studies, extract data using a standardized form, and resolve disagreements through consensus. This review will follow the PRISMA-ScR reporting framework.</p><p><strong>Results: </strong>At the time of submission, study identification and screening has been completed. Database searches conducted in August and September 2025 yielded 430 records, with an additional 18 records identified through other sources. After duplicates removal, 398 unique records remained. Title and abstract screening led to the exclusion of 250 records, and 148 articles proceeded to full-text review. Following full-text assessment, 110 articles were evaluated for eligibility, of which 38 studies met the inclusion criteria and were included in the qualitative synthesis. The study selection process is summarized in a PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram. Data extraction was conducted between November and December
{"title":"Mapping Algorithmic Bias in AI-Powered Electrocardiogram Interpretation Across the AI Life Cycle: Protocol for a Scoping Review.","authors":"Luqman Lawal, Christopher Paton, Mike English, Bruno Holthof, Tabitha Preston","doi":"10.2196/82486","DOIUrl":"10.2196/82486","url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence (AI)-powered analysis of electrocardiograms (ECGs) is reshaping cardiac diagnostics, offering faster and often more accurate detection of conditions such as arrhythmias and heart failure. However, growing evidence suggests that algorithmic bias, defined as performance disparities across patient subgroups, may undermine diagnostic equity. These biases can emerge at any stage of the AI life cycle, including data collection, model development, evaluation, deployment, and clinical use. If unaddressed, they risk exacerbating health disparities, particularly in underrepresented populations and low-resource settings. Early identification and mitigation of such bias are essential to ensuring diagnostic equity.</p><p><strong>Objective: </strong>This scoping review protocol outlines a structured approach to mapping the evidence on algorithmic bias in AI-enabled ECG interpretation. Following the population-concept-context framework and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidance, the planned review will systematically identify and categorize reported sources and types of bias, examine their effects on diagnostic performance across demographic and geographic subgroups, and document mitigation strategies applied throughout the AI life cycle. By synthesizing how bias and fairness considerations are handled in this field, this review aims to clarify existing evidence, highlight key gaps, and inform future efforts toward equitable and clinically trustworthy application of AI in cardiology.</p><p><strong>Methods: </strong>We will conduct a comprehensive literature search across 5 electronic databases (PubMed, Embase, Cochrane CENTRAL, CINAHL, and IEEE Xplore) and gray literature sources. Eligible studies will include original research (2015-2025) evaluating the performance of AI-based ECG models across different subgroups or reporting on bias mitigation strategies. Two reviewers will independently screen studies, extract data using a standardized form, and resolve disagreements through consensus. This review will follow the PRISMA-ScR reporting framework.</p><p><strong>Results: </strong>At the time of submission, study identification and screening has been completed. Database searches conducted in August and September 2025 yielded 430 records, with an additional 18 records identified through other sources. After duplicates removal, 398 unique records remained. Title and abstract screening led to the exclusion of 250 records, and 148 articles proceeded to full-text review. Following full-text assessment, 110 articles were evaluated for eligibility, of which 38 studies met the inclusion criteria and were included in the qualitative synthesis. The study selection process is summarized in a PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram. Data extraction was conducted between November and December ","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e82486"},"PeriodicalIF":1.5,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12869145/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146010537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sylvie Arnoux, Mia Gisselbaek, Georges Louis Savoldelli, Nadia Masood Bajwa
Background: Several factors come into consideration when medical students choose their future specialty. Among these factors, the desire to start a family and planning the best timing for pregnancy may interfere with career advancement in certain specialties.
Objective: To the best of our knowledge, this is the first scoping review aimed at understanding medical students' career choice and parental expectations without restriction of the specialty chosen. This protocol describes a scoping review aiming to understand how representations regarding specialties and parenthood influence medical students' career choice., This protocol describes a scoping review aiming to understand how representations regarding specialties and parenthood influence medical students' career choice.
Methods: We will search PubMed, Embase, Web of Science, ERIC, and PsycInfo for literature. Additionally, the reference lists of included articles will be screened for further inclusion. Rayyan and Endnote will be used to organize data screening and extraction. The database selection will allow us to extract and analyze data from various disciplines. This diversity will increase our understanding of medical students' career and personal life decisions. This protocol and the upcoming scoping review have been designed following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines to ensure the quality of the searching process, the data screening, and the data extraction.
Results: This study will conduct a thematic synthesis of how the concepts of representations and perceptions of parenthood are used by medical students in the selected literature, comparing them to theoretical frameworks to clarify their meanings. We also plan to identify key themes related to parenthood and medical specialty choice when planning a career. As of December 2025, we proceeded to data screening. We anticipate publishing our results in the second quarter of 2026.
Conclusions: This scoping review aims to better understand medical students' representations of medical specialties and parenthood, and how these perceptions influence their specialty preferences and career choices. By mapping existing evidence across various disciplines, the review will identify research gaps and provide a foundation for future studies. The findings will offer valuable insights into the challenges of balancing career aspirations and family life, particularly in the context of physician shortages and the growing feminization of the medical profession.
背景:医学生在选择未来专业时要考虑几个因素。在这些因素中,想要建立家庭和计划最佳怀孕时间的愿望可能会影响某些专业的职业发展。目的:据我们所知,这是第一次旨在了解医学生的职业选择和父母的期望,而不受所选专业的限制。本协议描述了一项范围审查,旨在了解关于专业和父母身份的陈述如何影响医学生的职业选择。本协议描述了一项范围审查,旨在了解关于专业和父母身份的陈述如何影响医学生的职业选择。方法:检索PubMed、Embase、Web of Science、ERIC、PsycInfo等文献。此外,将筛选纳入文章的参考文献列表以进一步纳入。Rayyan和Endnote将用于组织数据筛选和提取。数据库选择将允许我们提取和分析来自不同学科的数据。这种多样性将增加我们对医学生的职业和个人生活决定的理解。本方案和即将进行的范围审查是按照PRISMA-ScR(范围审查的系统审查和元分析扩展首选报告项目)指南设计的,以确保搜索过程、数据筛选和数据提取的质量。结果:本研究将对医学生在选定的文献中如何使用父母身份的表征和感知概念进行专题综合,并将其与理论框架进行比较,以澄清其含义。我们还计划在规划职业生涯时确定与父母和医学专业选择相关的关键主题。从2025年12月起,我们开始进行数据筛选。我们预计在2026年第二季度公布我们的业绩。结论:本综述旨在更好地了解医学生对医学专业和为人父母的看法,以及这些看法如何影响他们的专业偏好和职业选择。通过绘制不同学科的现有证据,该综述将确定研究差距,并为未来的研究提供基础。这些发现将为平衡职业抱负和家庭生活的挑战提供有价值的见解,特别是在医生短缺和医疗行业女性化日益增加的背景下。
{"title":"Exploring Medical Students' Representations of Future Specialties and Parenthood: Protocol for a Scoping Review.","authors":"Sylvie Arnoux, Mia Gisselbaek, Georges Louis Savoldelli, Nadia Masood Bajwa","doi":"10.2196/78133","DOIUrl":"10.2196/78133","url":null,"abstract":"<p><strong>Background: </strong>Several factors come into consideration when medical students choose their future specialty. Among these factors, the desire to start a family and planning the best timing for pregnancy may interfere with career advancement in certain specialties.</p><p><strong>Objective: </strong>To the best of our knowledge, this is the first scoping review aimed at understanding medical students' career choice and parental expectations without restriction of the specialty chosen. This protocol describes a scoping review aiming to understand how representations regarding specialties and parenthood influence medical students' career choice., This protocol describes a scoping review aiming to understand how representations regarding specialties and parenthood influence medical students' career choice.</p><p><strong>Methods: </strong>We will search PubMed, Embase, Web of Science, ERIC, and PsycInfo for literature. Additionally, the reference lists of included articles will be screened for further inclusion. Rayyan and Endnote will be used to organize data screening and extraction. The database selection will allow us to extract and analyze data from various disciplines. This diversity will increase our understanding of medical students' career and personal life decisions. This protocol and the upcoming scoping review have been designed following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines to ensure the quality of the searching process, the data screening, and the data extraction.</p><p><strong>Results: </strong>This study will conduct a thematic synthesis of how the concepts of representations and perceptions of parenthood are used by medical students in the selected literature, comparing them to theoretical frameworks to clarify their meanings. We also plan to identify key themes related to parenthood and medical specialty choice when planning a career. As of December 2025, we proceeded to data screening. We anticipate publishing our results in the second quarter of 2026.</p><p><strong>Conclusions: </strong>This scoping review aims to better understand medical students' representations of medical specialties and parenthood, and how these perceptions influence their specialty preferences and career choices. By mapping existing evidence across various disciplines, the review will identify research gaps and provide a foundation for future studies. The findings will offer valuable insights into the challenges of balancing career aspirations and family life, particularly in the context of physician shortages and the growing feminization of the medical profession.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e78133"},"PeriodicalIF":1.5,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12818495/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146010598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}