Purpose: No studies have validated psychiatric diseases diagnoses in Taiwan's National Health Insurance Research Database (NHIRD). We aimed to assess the interrater reliability of chart-review among psychiatrists, examine the validity of the diagnostic codes for psychotic disorders and affective diseases in the NHIRD against review-based diagnoses, and examine whether the change in the coding system from the ICD-9-CM to the ICD-10-CM affected the validity of the diagnostic codes.
Patients and methods: The study participants were psychiatric inpatients aged 18 to 65 years who were admitted in 2015 and 2017, respectively, to the main and three branch hospitals of National Taiwan University Hospital. A chart review was conducted among 48 purposively selected inpatients with discharge diagnoses in five core categories to assess interrater reliability. This chart-review procedure was then used to generate diagnostic codes for a stratified sampling of 727 inpatients with discharge diagnoses in 12 diagnostic categories of psychotic disorders and affective disorders to examine the validity of the diagnostic codes.
Results: The intraclass correlation coefficient reliability of schizophrenia and three broad categories of diagnoses indicated good interrater reliability. The positive predictive value and sensitivity of common diagnoses in the narrow category (eg, schizophrenia) or the broad category (eg, psychotic disorders, bipolar disorders, and major depressive disorders) were high-performing (≥ 0.70), whereas those of the diagnoses of low prevalence were modest. The validity indices of claims-based diagnoses using the ICD-10-CM tended to be better than those using the ICD-9-CM.
Conclusion: This first-ever study validating psychiatric diagnoses in Taiwan's NHIRD using a structured chart review suggests that the diagnostic codes of narrow categories of schizophrenia or other broad categories are recommended for high-performing validity indices. Intensive training for the coding plus the specific details requested by the ICD-10 may increase the validity of the claims-based databases for psychotic and affective disorders.
{"title":"Assessing the Validity of Claims-Based Diagnostic Codes for Psychotic and Affective Disorders and the Influence of the Coding Transition from the ICD-9 to the ICD-10 in Taiwan's National Health Insurance Research Database.","authors":"Yen-Wen Wang, Chen-Chung Liu, Hsi-Chung Chen, Chi-Shin Wu, Jen-Hui Chan, Cheng-Che Chen, Wei-Lieh Huang, Shih-Cheng Liao, Tzung-Jeng Hwang, Wei J Chen","doi":"10.2147/CLEP.S522618","DOIUrl":"10.2147/CLEP.S522618","url":null,"abstract":"<p><strong>Purpose: </strong>No studies have validated psychiatric diseases diagnoses in Taiwan's National Health Insurance Research Database (NHIRD). We aimed to assess the interrater reliability of chart-review among psychiatrists, examine the validity of the diagnostic codes for psychotic disorders and affective diseases in the NHIRD against review-based diagnoses, and examine whether the change in the coding system from the ICD-9-CM to the ICD-10-CM affected the validity of the diagnostic codes.</p><p><strong>Patients and methods: </strong>The study participants were psychiatric inpatients aged 18 to 65 years who were admitted in 2015 and 2017, respectively, to the main and three branch hospitals of National Taiwan University Hospital. A chart review was conducted among 48 purposively selected inpatients with discharge diagnoses in five core categories to assess interrater reliability. This chart-review procedure was then used to generate diagnostic codes for a stratified sampling of 727 inpatients with discharge diagnoses in 12 diagnostic categories of psychotic disorders and affective disorders to examine the validity of the diagnostic codes.</p><p><strong>Results: </strong>The intraclass correlation coefficient reliability of schizophrenia and three broad categories of diagnoses indicated good interrater reliability. The positive predictive value and sensitivity of common diagnoses in the narrow category (eg, schizophrenia) or the broad category (eg, psychotic disorders, bipolar disorders, and major depressive disorders) were high-performing (≥ 0.70), whereas those of the diagnoses of low prevalence were modest. The validity indices of claims-based diagnoses using the ICD-10-CM tended to be better than those using the ICD-9-CM.</p><p><strong>Conclusion: </strong>This first-ever study validating psychiatric diagnoses in Taiwan's NHIRD using a structured chart review suggests that the diagnostic codes of narrow categories of schizophrenia or other broad categories are recommended for high-performing validity indices. Intensive training for the coding plus the specific details requested by the ICD-10 may increase the validity of the claims-based databases for psychotic and affective disorders.</p>","PeriodicalId":10362,"journal":{"name":"Clinical Epidemiology","volume":"17 ","pages":"635-645"},"PeriodicalIF":3.4,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12258254/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144636358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-08eCollection Date: 2025-01-01DOI: 10.2147/CLEP.S526154
Bijun Shi, Xiaohua Tan, Qian Chen, Danfang Lu, Shuhua Ren, Kang Huang, Wei Shen, Zhifeng Chen, Jin Liu, Chuming You, Guifang Li, Hong Jiang, Hongping Rao, Jianwu Qiu, Xian Wei, Yayu Zhang, Xiaobo Lin, Haiyan Jiang, Shasha Han, Fan Wang, Xiufang Yang, Yitong Wang, Niyang Lin, Lizi Lin, Xinzhu Lin, Qiliang Cui
Background: Twin pregnancies, accounting for a rising proportion of births globally, present significant public health challenges in China. Birthweight discordance (BWD), a critical complication, remains understudied in its epidemiological context, particularly regarding its population-level associations with adverse neonatal outcomes.
Methods: This multi-center, retrospective cohort study leveraged data from 21 hospitals across 18 Chinese cities (2018-2020) to assess BWD and its epidemiological implications. Ordinal logistic regression with random effects was used to explore their association. BWD was defined as: [(larger birthweight - smaller birthweight) / larger birthweight] × 100% and categorized into four grades: I (≤15%), II (>15% to 20%), III (>20% to 25%), and IV (>25%).
Results: Among 6437 twin pairs, 73.6% were classified as Grade I (no BWD), while 10.7%, 7.1%, and 8.6% constituted Grades II, III, and IV discordance, respectively. Dose-response relationships emerged: each incremental BWD elevated risks of small vulnerable newborns (aOR = 1.83, 95% CI 1.76-1.90), small for gestational age (aOR = 1.23, 95% CI 1.18-1.29), low birthweight (LBW, aOR = 1.16, 95% CI 1.13-1.20), very LBW (aOR = 1.63, 95% CI 1.53-1.73) and extreme LBW (aOR = 1.82, 95% CI 1.61-2.05). Smaller twins exhibited disproportionately higher adverse outcome rates than larger twins. Sensitivity analyses confirmed robustness across specific subgroups.
Conclusion: BWD exceeding 20% affects 15.7% of live-born twins in China, mirroring rates in high-income settings. BWD demonstrates strong dose-response relationships with adverse outcomes, validating its utility for twin health stratification. These findings call for integrating BWD assessment into prenatal surveillance and risk-adapted care to reduce neonatal morbidity/mortality, urging clinicians and policymakers to prioritize perinatal outcome equity.
背景:双胎妊娠在全球新生儿中所占比例不断上升,这给中国带来了重大的公共卫生挑战。出生体重不一致(BWD)是一种重要的并发症,在流行病学背景下仍未得到充分研究,特别是在人口水平上与新生儿不良结局的关联方面。方法:本多中心、回顾性队列研究利用2018-2020年中国18个城市21家医院的数据,评估BWD及其流行病学意义。采用随机效应的有序逻辑回归分析其相关性。BWD定义为:[(大出生体重-小出生体重)/大出生体重]× 100%,分为I级(≤15%)、II级(>15% ~ 20%)、III级(>20% ~ 25%)、IV级(>25%)四个等级。结果:在6437对双胞胎中,73.6%为I级(无BWD), 10.7%、7.1%和8.6%分别为II、III和IV级不一致。出现了剂量-反应关系:体重每增加一次,小易感新生儿的风险增加(aOR = 1.83, 95% CI 1.76-1.90),胎龄小(aOR = 1.23, 95% CI 1.18-1.29),低出生体重(LBW, aOR = 1.16, 95% CI 1.13-1.20),非常低体重(aOR = 1.63, 95% CI 1.53-1.73)和极端LBW (aOR = 1.82, 95% CI 1.61-2.05)。较小的双胞胎比较大的双胞胎表现出不成比例的更高的不良后果发生率。敏感性分析证实了特定亚组的稳健性。结论:中国15.7%的活产双胞胎体重超过20%,这与高收入国家的情况相似。BWD显示了与不良结果的强烈剂量-反应关系,验证了其在双胞胎健康分层中的效用。这些发现呼吁将BWD评估纳入产前监测和风险适应护理,以降低新生儿发病率/死亡率,敦促临床医生和政策制定者优先考虑围产期结局公平。
{"title":"Association of Birthweight Discordance with Adverse Birth Outcomes Among Live-Born Twins: A Multi-Center Study in China.","authors":"Bijun Shi, Xiaohua Tan, Qian Chen, Danfang Lu, Shuhua Ren, Kang Huang, Wei Shen, Zhifeng Chen, Jin Liu, Chuming You, Guifang Li, Hong Jiang, Hongping Rao, Jianwu Qiu, Xian Wei, Yayu Zhang, Xiaobo Lin, Haiyan Jiang, Shasha Han, Fan Wang, Xiufang Yang, Yitong Wang, Niyang Lin, Lizi Lin, Xinzhu Lin, Qiliang Cui","doi":"10.2147/CLEP.S526154","DOIUrl":"10.2147/CLEP.S526154","url":null,"abstract":"<p><strong>Background: </strong>Twin pregnancies, accounting for a rising proportion of births globally, present significant public health challenges in China. Birthweight discordance (BWD), a critical complication, remains understudied in its epidemiological context, particularly regarding its population-level associations with adverse neonatal outcomes.</p><p><strong>Methods: </strong>This multi-center, retrospective cohort study leveraged data from 21 hospitals across 18 Chinese cities (2018-2020) to assess BWD and its epidemiological implications. Ordinal logistic regression with random effects was used to explore their association. BWD was defined as: [(<i>larger birthweight</i> - <i>smaller birthweight</i>) / <i>larger birthweight</i>] × 100% and categorized into four grades: I (≤15%), II (>15% to 20%), III (>20% to 25%), and IV (>25%).</p><p><strong>Results: </strong>Among 6437 twin pairs, 73.6% were classified as Grade I (no BWD), while 10.7%, 7.1%, and 8.6% constituted Grades II, III, and IV discordance, respectively. Dose-response relationships emerged: each incremental BWD elevated risks of small vulnerable newborns (a<i>OR</i> = 1.83, 95% CI 1.76-1.90), small for gestational age (a<i>OR</i> = 1.23, 95% CI 1.18-1.29), low birthweight (LBW, a<i>OR</i> = 1.16, 95% CI 1.13-1.20), very LBW (a<i>OR</i> = 1.63, 95% CI 1.53-1.73) and extreme LBW (a<i>OR</i> = 1.82, 95% CI 1.61-2.05). Smaller twins exhibited disproportionately higher adverse outcome rates than larger twins. Sensitivity analyses confirmed robustness across specific subgroups.</p><p><strong>Conclusion: </strong>BWD exceeding 20% affects 15.7% of live-born twins in China, mirroring rates in high-income settings. BWD demonstrates strong dose-response relationships with adverse outcomes, validating its utility for twin health stratification. These findings call for integrating BWD assessment into prenatal surveillance and risk-adapted care to reduce neonatal morbidity/mortality, urging clinicians and policymakers to prioritize perinatal outcome equity.</p>","PeriodicalId":10362,"journal":{"name":"Clinical Epidemiology","volume":"17 ","pages":"625-634"},"PeriodicalIF":3.4,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12255327/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144625475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-04eCollection Date: 2025-01-01DOI: 10.2147/CLEP.S520772
Cathrine F Hjorth, Thora M Kjærulff, Mette K Thomsen, Deirdre Cronin-Fenton, Susanne O Dalton, Maja H Olsen
Background: Socioeconomic differences in health have become an increasing public health concern and priority, leading to a growing number of studies investigating the relationship between socioeconomic position and health outcomes. However, variability in methodological practices hampers the comparability of findings and leads to inefficiencies, as researchers invest substantial resources in selecting appropriate variables and methods. To address these challenges, the SEPLINE initiative was established to develop a methodological guideline aimed at enhancing the comparability, quality, and feasibility of socioeconomic research using Danish registry data.
Methods: The guideline was developed through a consensus-driven approach involving an interdisciplinary group of stakeholders from Danish universities, research institutions, and data warehouses. The guideline addresses socioeconomic position as an exposure based on data from Danish registries, with the cancer continuum applied as a case outcome to illustrate its application. The development process included two collaborative workshops informed by a pre-workshop questionnaire. Workshop I (spring 2024) focused on socioeconomic indicators, data collection, and data management, featuring expert presentations and group discussions. Workshop II (fall 2024) addressed analytical methods, including causal inference challenges and income/wealth assessment methods. Insights from these workshops were integrated into iterative refinements of the guideline.
Conclusions and implications: The guideline provides a structured framework for conducting socioeconomic epidemiological research using Danish registry data, offering specific information on data sources and recommendations about variable selection, measurement timing, and data handling. While tailored to Danish registry-based cancer research, the guideline's methodological principles have broader applicability to other diseases and international contexts. By emphasizing transparency, theoretical grounding, and methodological rigor, SEPLINE aims to advance the study of social determinants of health. Researchers are encouraged to use the guideline as a relevant starting point and adapt it to their specific study populations and research questions, ensuring its relevance across diverse settings.
{"title":"SEPLINE: Socioeconomic Position in Epidemiological Research-A National Guideline on Danish Registry Data.","authors":"Cathrine F Hjorth, Thora M Kjærulff, Mette K Thomsen, Deirdre Cronin-Fenton, Susanne O Dalton, Maja H Olsen","doi":"10.2147/CLEP.S520772","DOIUrl":"10.2147/CLEP.S520772","url":null,"abstract":"<p><strong>Background: </strong>Socioeconomic differences in health have become an increasing public health concern and priority, leading to a growing number of studies investigating the relationship between socioeconomic position and health outcomes. However, variability in methodological practices hampers the comparability of findings and leads to inefficiencies, as researchers invest substantial resources in selecting appropriate variables and methods. To address these challenges, the SEPLINE initiative was established to develop a methodological guideline aimed at enhancing the comparability, quality, and feasibility of socioeconomic research using Danish registry data.</p><p><strong>Methods: </strong>The guideline was developed through a consensus-driven approach involving an interdisciplinary group of stakeholders from Danish universities, research institutions, and data warehouses. The guideline addresses socioeconomic position as an exposure based on data from Danish registries, with the cancer continuum applied as a case outcome to illustrate its application. The development process included two collaborative workshops informed by a pre-workshop questionnaire. Workshop I (spring 2024) focused on socioeconomic indicators, data collection, and data management, featuring expert presentations and group discussions. Workshop II (fall 2024) addressed analytical methods, including causal inference challenges and income/wealth assessment methods. Insights from these workshops were integrated into iterative refinements of the guideline.</p><p><strong>Conclusions and implications: </strong>The guideline provides a structured framework for conducting socioeconomic epidemiological research using Danish registry data, offering specific information on data sources and recommendations about variable selection, measurement timing, and data handling. While tailored to Danish registry-based cancer research, the guideline's methodological principles have broader applicability to other diseases and international contexts. By emphasizing transparency, theoretical grounding, and methodological rigor, SEPLINE aims to advance the study of social determinants of health. Researchers are encouraged to use the guideline as a relevant starting point and adapt it to their specific study populations and research questions, ensuring its relevance across diverse settings.</p>","PeriodicalId":10362,"journal":{"name":"Clinical Epidemiology","volume":"17 ","pages":"593-624"},"PeriodicalIF":3.4,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12242267/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144607704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-28eCollection Date: 2025-01-01DOI: 10.2147/CLEP.S524819
Finn Erland Nielsen, Lana Chafranska, Rune H Sørensen, Thomas Andersen Schmidt, Osama Bin Abdullah
Objective: Given the lack of data on long-term outcomes among patients with sepsis, this study aimed to examine all-cause 2-year mortality and factors associated with mortality in adults admitted to an emergency department with sepsis.
Study design: Prospective cohort study.
Methods: This study included all emergency department patients admitted with sepsis to Slagelse Hospital, Denmark, between October 1, 2017, and March 31, 2018. Data on patients with infectious diseases was prospectively extracted from electronic health records during the study period. Sepsis was defined as a Sequential Organ Failure Assessment (SOFA) score ≥ 2 from baseline. The outcome was 2-year all-cause mortality. The Kaplan-Meier method was used to estimate the mortality. Cox regression analyses were used to compute adjusted hazard ratios (aHR) with 95% confidence intervals for prognostic factors associated with mortality.
Results: A total of 714 patients (58.4% men) with a median age of 75 years were diagnosed with sepsis. After two years, 354 (49.6%; 45.9-53.3) patients had died. Factors associated with elevated mortality risk included age (< 65 years as reference) 65-85 years (aHR 1.89; 1.35-2.64) or age > 85 years (aHR 2.99; 2.07-4.31); SOFA score > 4 (aHR 2.45; 1.82-3.30) (score of 2 as reference); and history of malignancy (aHR 1.91; 1.44-2.53), ischemic heart disease (aHR 1.38; 1.03-1.84), dementia (aHR 1.84; 1.34-2.53), previous sepsis admission (aHR 1.45; 1.15-1.82), new-onset atrial fibrillation (aHR 1.56; 1.05-2.34), and mildly decreased (6.9-7.9 mmmol/L) hemoglobin values (aHR 1.68; 1.29-2.19) and significantly decreased (<6.9 mmol/L) hemoglobin values (aHR 2.30; 1.74-3.02) with normal range (≥ 8mmol/L) as reference. Skin infection was associated with diminished mortality risk (aHR 0.50; 0.29-0.85) compared to patients with other sources of infection.
Conclusion: Sepsis is associated with a poor prognosis. Our findings underscore the prognostic effects of age, SOFA score, and specific comorbidities on 2-year mortality among patients with sepsis.
{"title":"Two-Year Mortality and Prognostic Factors in Sepsis: A Prospective Cohort Study of 714 Danish Emergency Department Patients.","authors":"Finn Erland Nielsen, Lana Chafranska, Rune H Sørensen, Thomas Andersen Schmidt, Osama Bin Abdullah","doi":"10.2147/CLEP.S524819","DOIUrl":"10.2147/CLEP.S524819","url":null,"abstract":"<p><strong>Objective: </strong>Given the lack of data on long-term outcomes among patients with sepsis, this study aimed to examine all-cause 2-year mortality and factors associated with mortality in adults admitted to an emergency department with sepsis.</p><p><strong>Study design: </strong>Prospective cohort study.</p><p><strong>Methods: </strong>This study included all emergency department patients admitted with sepsis to Slagelse Hospital, Denmark, between October 1, 2017, and March 31, 2018. Data on patients with infectious diseases was prospectively extracted from electronic health records during the study period. Sepsis was defined as a Sequential Organ Failure Assessment (SOFA) score ≥ 2 from baseline. The outcome was 2-year all-cause mortality. The Kaplan-Meier method was used to estimate the mortality. Cox regression analyses were used to compute adjusted hazard ratios (aHR) with 95% confidence intervals for prognostic factors associated with mortality.</p><p><strong>Results: </strong>A total of 714 patients (58.4% men) with a median age of 75 years were diagnosed with sepsis. After two years, 354 (49.6%; 45.9-53.3) patients had died. Factors associated with elevated mortality risk included age (< 65 years as reference) 65-85 years (aHR 1.89; 1.35-2.64) or age > 85 years (aHR 2.99; 2.07-4.31); SOFA score > 4 (aHR 2.45; 1.82-3.30) (score of 2 as reference); and history of malignancy (aHR 1.91; 1.44-2.53), ischemic heart disease (aHR 1.38; 1.03-1.84), dementia (aHR 1.84; 1.34-2.53), previous sepsis admission (aHR 1.45; 1.15-1.82), new-onset atrial fibrillation (aHR 1.56; 1.05-2.34), and mildly decreased (6.9-7.9 mmmol/L) hemoglobin values (aHR 1.68; 1.29-2.19) and significantly decreased (<6.9 mmol/L) hemoglobin values (aHR 2.30; 1.74-3.02) with normal range (≥ 8mmol/L) as reference. Skin infection was associated with diminished mortality risk (aHR 0.50; 0.29-0.85) compared to patients with other sources of infection.</p><p><strong>Conclusion: </strong>Sepsis is associated with a poor prognosis. Our findings underscore the prognostic effects of age, SOFA score, and specific comorbidities on 2-year mortality among patients with sepsis.</p>","PeriodicalId":10362,"journal":{"name":"Clinical Epidemiology","volume":"17 ","pages":"581-592"},"PeriodicalIF":3.4,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12222623/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144559406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-24eCollection Date: 2025-01-01DOI: 10.2147/CLEP.S526203
Noriana E Jakopin, Samantha N Lanjewar, Amanda Garzon, Paul Gross, Richard Holubkov, Abhay Moghekar, Jason Preston, Margaret Romanoski, Chevis N Shannon, Mandeep S Tamber, Tessa Van der Willigen, Melissa Sloan, Monica J Chau, Jenna E Koschnitzky
Purpose: Hydrocephalus is a neurological condition characterized by an accumulation of cerebrospinal fluid (CSF) with no cure and limited treatments. There is a significant gap in hydrocephalus research where patients lack opportunities to voice their perspectives on their condition. The Hydrocephalus Association Patient-Powered Interactive Engagement Registry (HAPPIER) database captures the lived experiences of those affected by hydrocephalus and provides a platform for researchers to access these data or distribute their own surveys, ultimately aiming to improve patient-centered care and outcomes. This publication introduces the registry by highlighting the demographics, etiology, treatments, symptom profiles, and diagnosed comorbidities of the participants.
Methods: The Hydrocephalus Association and a 10-member steering committee developed HAPPIER. Other patient registries, existing surveys and assessments, and University of Utah Data Center faculty guided survey development. The Hydrocephalus Association recruited participants using social and traditional media, medical referrals, and advertisements at events.
Results: Of the 691 survey participants with hydrocephalus, 451 (65.3%) responded for themselves. The majority of the registry was female (55.0%), white (86.0%), and from the United States and territories (87.7%). Most were diagnosed between 0-11 months (46.2%), with congenital hydrocephalus as the most reported etiology (43.8%). Participants reported a shunt(s) as the most prevalent treatment (71.2%) and headaches as the most frequent symptom (60.3%), while 69.9% of participants reported being diagnosed with movement impairments and 70.8% with other health conditions.
Conclusion: HAPPIER is a novel database that addresses gaps in data on non-clinical outcomes of hydrocephalus, which are critical to clinical care and understanding hydrocephalus. Patient perspectives and outcomes remain historically underrepresented. By directly engaging individuals living with hydrocephalus and their caregivers, HAPPIER incorporates essential patient perspectives through planned longitudinal data collection and patient surveys. These data are open to investigators interested in analyzing the collected data.
{"title":"The Hydrocephalus Association Patient-Powered Interactive Engagement Registry (HAPPIER): Design and Initial Baseline Report.","authors":"Noriana E Jakopin, Samantha N Lanjewar, Amanda Garzon, Paul Gross, Richard Holubkov, Abhay Moghekar, Jason Preston, Margaret Romanoski, Chevis N Shannon, Mandeep S Tamber, Tessa Van der Willigen, Melissa Sloan, Monica J Chau, Jenna E Koschnitzky","doi":"10.2147/CLEP.S526203","DOIUrl":"10.2147/CLEP.S526203","url":null,"abstract":"<p><strong>Purpose: </strong>Hydrocephalus is a neurological condition characterized by an accumulation of cerebrospinal fluid (CSF) with no cure and limited treatments. There is a significant gap in hydrocephalus research where patients lack opportunities to voice their perspectives on their condition. The Hydrocephalus Association Patient-Powered Interactive Engagement Registry (HAPPIER) database captures the lived experiences of those affected by hydrocephalus and provides a platform for researchers to access these data or distribute their own surveys, ultimately aiming to improve patient-centered care and outcomes. This publication introduces the registry by highlighting the demographics, etiology, treatments, symptom profiles, and diagnosed comorbidities of the participants.</p><p><strong>Methods: </strong>The Hydrocephalus Association and a 10-member steering committee developed HAPPIER. Other patient registries, existing surveys and assessments, and University of Utah Data Center faculty guided survey development. The Hydrocephalus Association recruited participants using social and traditional media, medical referrals, and advertisements at events.</p><p><strong>Results: </strong>Of the 691 survey participants with hydrocephalus, 451 (65.3%) responded for themselves. The majority of the registry was female (55.0%), white (86.0%), and from the United States and territories (87.7%). Most were diagnosed between 0-11 months (46.2%), with congenital hydrocephalus as the most reported etiology (43.8%). Participants reported a shunt(s) as the most prevalent treatment (71.2%) and headaches as the most frequent symptom (60.3%), while 69.9% of participants reported being diagnosed with movement impairments and 70.8% with other health conditions.</p><p><strong>Conclusion: </strong>HAPPIER is a novel database that addresses gaps in data on non-clinical outcomes of hydrocephalus, which are critical to clinical care and understanding hydrocephalus. Patient perspectives and outcomes remain historically underrepresented. By directly engaging individuals living with hydrocephalus and their caregivers, HAPPIER incorporates essential patient perspectives through planned longitudinal data collection and patient surveys. These data are open to investigators interested in analyzing the collected data.</p>","PeriodicalId":10362,"journal":{"name":"Clinical Epidemiology","volume":"17 ","pages":"567-579"},"PeriodicalIF":3.4,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12206904/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144526679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-14eCollection Date: 2025-01-01DOI: 10.2147/CLEP.S520168
Kirsty Marie Rhodes, Edeltraut Garbe, Hana Müllerová, Paul Ekwaru, Nils Kossack, Brenda N Baak, Muriel Lobier, Nathaniel M Hawkins, Clementine Nordon
Purpose: Multi-database studies may provide heterogeneous results despite using common protocols, leading to challenges in interpretation, but also providing an opportunity to gain insights on populations or healthcare systems. The objectives of these analyses were to develop a framework for exploring sources of statistical heterogeneity and apply it to the multi-database EXACOS-CV (EXAcerbations of COPD and their OutcomeS on CardioVascular diseases) program.
Methods: A conceptual framework to systematically assess sources of statistical heterogeneity in multi-database studies was developed. This framework distinguishes between methodological diversity and true clinical variation. Methodological diversity includes differences in study design and database selection, while true variation considers population and healthcare differences. Possible sources of methodological diversity were identified via a novel checklist and explored. In turn, hypotheses were generated about true variation. The framework and checklist were applied to EXACOS-CV cohort studies in Germany, Canada, the Netherlands, and Spain which deviated least from the common protocol and so were included. Focus was on adjusted hazard ratios (aHR) for post-exacerbation associations with decompensated heart failure (HF) and all-cause death, for which results were most and least heterogeneous, respectively.
Results: Across EXACOS-CV studies, the adjusted hazard ratios (aHR) for HF in the first 1-7 days post-exacerbation, compared to non-exacerbation periods, ranged from 2.6 (95% CI, 2.3, 2.9) in Germany to 72.3 (64.4, 81.2) in Canada, and the association with death, relative to non-exacerbation periods, ranged from 3.5 (2.4, 5.3) in the Netherlands to 22.1 (19.9, 24.4) in Spain. Completed methodological diversity checklists linked differences in aHRs to possible variation in ability to capture pre-existing cardiovascular comorbidities across studies, as well as differences in confounder measurement. Standardizing adjusted models across studies did not fully explain heterogeneity, suggesting other contributing factors. Heterogeneity may result from genuine variation in prevalence of CV disease. It was hypothesized that patients with pre-existing CV disease have more accurate diagnoses and management of post-exacerbation CV events, possibly leading to lower risks of such events.
Conclusion: Multi-database studies can provide directional insights on the study research question while considering healthcare system and population differences. The developed framework aids assessment of heterogeneity sources.
{"title":"Framework for Exploration of Statistical Heterogeneity in Multi-Database Studies: A Case Study Using EXACOS-CV Studies.","authors":"Kirsty Marie Rhodes, Edeltraut Garbe, Hana Müllerová, Paul Ekwaru, Nils Kossack, Brenda N Baak, Muriel Lobier, Nathaniel M Hawkins, Clementine Nordon","doi":"10.2147/CLEP.S520168","DOIUrl":"10.2147/CLEP.S520168","url":null,"abstract":"<p><strong>Purpose: </strong>Multi-database studies may provide heterogeneous results despite using common protocols, leading to challenges in interpretation, but also providing an opportunity to gain insights on populations or healthcare systems. The objectives of these analyses were to develop a framework for exploring sources of statistical heterogeneity and apply it to the multi-database EXACOS-CV (EXAcerbations of COPD and their OutcomeS on CardioVascular diseases) program.</p><p><strong>Methods: </strong>A conceptual framework to systematically assess sources of statistical heterogeneity in multi-database studies was developed. This framework distinguishes between methodological diversity and true clinical variation. Methodological diversity includes differences in study design and database selection, while true variation considers population and healthcare differences. Possible sources of methodological diversity were identified via a novel checklist and explored. In turn, hypotheses were generated about true variation. The framework and checklist were applied to EXACOS-CV cohort studies in Germany, Canada, the Netherlands, and Spain which deviated least from the common protocol and so were included. Focus was on adjusted hazard ratios (aHR) for post-exacerbation associations with decompensated heart failure (HF) and all-cause death, for which results were most and least heterogeneous, respectively.</p><p><strong>Results: </strong>Across EXACOS-CV studies, the adjusted hazard ratios (aHR) for HF in the first 1-7 days post-exacerbation, compared to non-exacerbation periods, ranged from 2.6 (95% CI, 2.3, 2.9) in Germany to 72.3 (64.4, 81.2) in Canada, and the association with death, relative to non-exacerbation periods, ranged from 3.5 (2.4, 5.3) in the Netherlands to 22.1 (19.9, 24.4) in Spain. Completed methodological diversity checklists linked differences in aHRs to possible variation in ability to capture pre-existing cardiovascular comorbidities across studies, as well as differences in confounder measurement. Standardizing adjusted models across studies did not fully explain heterogeneity, suggesting other contributing factors. Heterogeneity may result from genuine variation in prevalence of CV disease. It was hypothesized that patients with pre-existing CV disease have more accurate diagnoses and management of post-exacerbation CV events, possibly leading to lower risks of such events.</p><p><strong>Conclusion: </strong>Multi-database studies can provide directional insights on the study research question while considering healthcare system and population differences. The developed framework aids assessment of heterogeneity sources.</p>","PeriodicalId":10362,"journal":{"name":"Clinical Epidemiology","volume":"17 ","pages":"551-565"},"PeriodicalIF":3.4,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12176119/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-10eCollection Date: 2025-01-01DOI: 10.2147/CLEP.S541427
Hong-Da Zhang, Lei Ding, Yu-Jing Shen, Min Tang
{"title":"Exploratory Non-Causal Associations of Variables with New-Onset Atrial Fibrillation Incidence and Mortality in Critically Ill Patients [Response To Letter].","authors":"Hong-Da Zhang, Lei Ding, Yu-Jing Shen, Min Tang","doi":"10.2147/CLEP.S541427","DOIUrl":"10.2147/CLEP.S541427","url":null,"abstract":"","PeriodicalId":10362,"journal":{"name":"Clinical Epidemiology","volume":"17 ","pages":"547-550"},"PeriodicalIF":3.4,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12168997/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144309608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Real-world evidence about adherence to proprotein convertase subtilisin/kexin type-9 inhibition (PCSK9i) is needed in Chinese population.
Objective: We aimed to evaluate the adherence patterns using anti-PCSK9 monoclonal antibody in Chinese clinical practice and explored the association between adherence to PCSK9i and low-density lipoprotein cholesterol (LDL-C) reduction ratio and variability.
Methods: A total of 5373 patients initiating PCSK9i in the First Affiliated Hospital of Sun Yat-sen University were included as sub-analysis of the RED-CARPET registry. Adherence to PCSK9i was measured by proportion of days covered (PDC), calculated for treatment covered days divided by 365 days during a one-year period. Reduction ratio (percentage points, range 0-100) was calculated as the ratio of reduction degree (difference between baseline value and the lowest value) to the baseline value. LDL-C variability was measured as standard deviation of three LDL-C measurement 2 weeks after medication initiation. We used linear regression to measure the association between PCSK9i PDC and the reduction ratio and variability of LDL-C. PDC (range 0-1) was scaled by 10 in the model.
Results: At 12 months, the mean PDC was 0.09 ± 0.10. PCSK9i PDC was positively associated with LDL-C reduction ratio after adjustment for traditional risk factors (Adjusted β 4.05, 95% CI [2.61, 5.50]), p<0.001), which means for every 0.1-unit increase in PDC, the LDL-C reduction ratio increases by 4.05 percentage points. PCSK9i PDC was negatively associated with LDL-C standard deviation after fully adjustment (Adjusted β -0.042, 95% CI [-0.066, -0.018]), p=0.001). For every 0.1-unit increase in PDC, the LDL-C standard deviation decreased by 0.042 units, indicating improved lipid stability with higher adherence.
Conclusion: The adherence to PCSK9i presented as a skewed distribution, most people only received one injection, which did not reach the ideal adherence goal. Unsatisfactory adherence to PCSK9i reduce the lipid-lowering effect of PCSK9i.
{"title":"Real-World Assessment of the Association Between PCSK9i Adherence and LDL Reduction and Variability in a Chinese Clinical Practice.","authors":"Xiaomin Ye, Shaozhao Zhang, Xiangbin Zhong, Miaohong Li, Menghui Liu, Xiaodong Zhuang, Xinxue Liao","doi":"10.2147/CLEP.S507761","DOIUrl":"10.2147/CLEP.S507761","url":null,"abstract":"<p><strong>Background: </strong>Real-world evidence about adherence to proprotein convertase subtilisin/kexin type-9 inhibition (PCSK9i) is needed in Chinese population.</p><p><strong>Objective: </strong>We aimed to evaluate the adherence patterns using anti-PCSK9 monoclonal antibody in Chinese clinical practice and explored the association between adherence to PCSK9i and low-density lipoprotein cholesterol (LDL-C) reduction ratio and variability.</p><p><strong>Methods: </strong>A total of 5373 patients initiating PCSK9i in the First Affiliated Hospital of Sun Yat-sen University were included as sub-analysis of the RED-CARPET registry. Adherence to PCSK9i was measured by proportion of days covered (PDC), calculated for treatment covered days divided by 365 days during a one-year period. Reduction ratio (percentage points, range 0-100) was calculated as the ratio of reduction degree (difference between baseline value and the lowest value) to the baseline value. LDL-C variability was measured as standard deviation of three LDL-C measurement 2 weeks after medication initiation. We used linear regression to measure the association between PCSK9i PDC and the reduction ratio and variability of LDL-C. PDC (range 0-1) was scaled by 10 in the model.</p><p><strong>Results: </strong>At 12 months, the mean PDC was 0.09 ± 0.10. PCSK9i PDC was positively associated with LDL-C reduction ratio after adjustment for traditional risk factors (Adjusted β 4.05, 95% CI [2.61, 5.50]), p<0.001), which means for every 0.1-unit increase in PDC, the LDL-C reduction ratio increases by 4.05 percentage points. PCSK9i PDC was negatively associated with LDL-C standard deviation after fully adjustment (Adjusted β -0.042, 95% CI [-0.066, -0.018]), p=0.001). For every 0.1-unit increase in PDC, the LDL-C standard deviation decreased by 0.042 units, indicating improved lipid stability with higher adherence.</p><p><strong>Conclusion: </strong>The adherence to PCSK9i presented as a skewed distribution, most people only received one injection, which did not reach the ideal adherence goal. Unsatisfactory adherence to PCSK9i reduce the lipid-lowering effect of PCSK9i.</p>","PeriodicalId":10362,"journal":{"name":"Clinical Epidemiology","volume":"17 ","pages":"537-546"},"PeriodicalIF":3.4,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12164899/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144301223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-08eCollection Date: 2025-01-01DOI: 10.2147/CLEP.S518048
Alastair James Morton, Colin J Crooks, Joe West, Brian D Nicholson, David J Humes
Background/objectives: Faecal Immunochemical Testing (FIT) is recommended for patients presenting to primary care with symptoms suggestive of colorectal cancer. This study quantified variations in use across England.
Methods: Retrospective cohort of English patients (≥18 years) with a FIT result reported in routinely collected primary care records, 2019-2023. Rates of FIT testing by age, sex, year and region were adjusted using Poisson regression. Multivariate logistic regression compared the effect of factors on the proportion of results exceeding the recommended referral threshold (10µgHb/g).
Results: Between 01/01/2019 and 05/06/2023 there were 531,735 FIT results among 495,121 patients. Rates of testing increased from 0.69 per thousand person-years in 2019 (95% CI 0.68-0.71) to 27.70 in 2023 (95% CI 27.56-27.85). There were large variations in testing between regions, with rates >3-fold higher in the Northeast than the West Midlands: 17.05 (95% CI 16.87-17.23) versus 4.72 (95% CI 4.67-4.76) per thousand person-years. About 20.4% of FIT results were ≥10µgHb/g. Despite increased testing, this did not change over time. The proportion of FIT ≥10µgHb/g was lower in regions with higher rates of testing, from 16.7% (Southwest) to 25.3% (Southeast; rates of testing 14.62 and 8.00 per thousand person-years respectively). This difference in proportion of FIT ≥10µgHb/g persisted after adjusting for year, sex and age (OR 0.57, 95% CI 0.55-0.58).
Conclusion: Rapid increases in FIT testing in primary care show large, persistent variations between English regions, which correlate with the proportion of results meeting the criteria for onward referral. Differences in the population tested and FIT's implementation between regions are likely to explain these variations.
背景/目的:粪便免疫化学试验(FIT)被推荐用于出现提示结直肠癌症状的初级保健患者。这项研究量化了英国各地的使用差异。方法:对2019-2023年常规收集的初级保健记录中报告FIT结果的英国患者(≥18岁)进行回顾性队列研究。使用泊松回归调整年龄、性别、年份和地区的FIT检验率。多因素logistic回归比较了各因素对超过推荐推荐阈值(10µgHb/g)的结果比例的影响。结果:2019年1月1日至2023年6月5日期间,495,121例患者中有531,735例FIT结果。检测率从2019年的0.69 /千人年(95% CI 0.68-0.71)增加到2023年的27.70 /千人年(95% CI 27.56-27.85)。不同地区之间的检测差异很大,东北地区的发病率比西米德兰兹郡高3倍:17.05 (95% CI 16.87-17.23)对4.72 (95% CI 4.67-4.76)每千人年。约20.4%的FIT结果≥10µgHb/g。尽管增加了测试,但这并没有随着时间的推移而改变。在检测率较高的地区,FIT≥10µgHb/g的比例较低,从16.7%(西南)降至25.3%(东南);检测率分别为14.62和8.00 /千人年)。在调整了年份、性别和年龄后,FIT≥10µgHb/g的比例差异仍然存在(OR 0.57, 95% CI 0.55-0.58)。结论:初级保健中FIT测试的快速增加显示出英国地区之间巨大的持续差异,这与符合后续转诊标准的结果比例相关。不同地区间测试人口和FIT实施的差异可能解释了这些差异。
{"title":"Variations in the Use of Faecal Immunochemical Testing (FIT) in Primary Care in England: A Population-Based Cohort of 531,735 FITs from 495,121 Patients Between 2019 and 2023.","authors":"Alastair James Morton, Colin J Crooks, Joe West, Brian D Nicholson, David J Humes","doi":"10.2147/CLEP.S518048","DOIUrl":"10.2147/CLEP.S518048","url":null,"abstract":"<p><strong>Background/objectives: </strong>Faecal Immunochemical Testing (FIT) is recommended for patients presenting to primary care with symptoms suggestive of colorectal cancer. This study quantified variations in use across England.</p><p><strong>Methods: </strong>Retrospective cohort of English patients (≥18 years) with a FIT result reported in routinely collected primary care records, 2019-2023. Rates of FIT testing by age, sex, year and region were adjusted using Poisson regression. Multivariate logistic regression compared the effect of factors on the proportion of results exceeding the recommended referral threshold (10µgHb/g).</p><p><strong>Results: </strong>Between 01/01/2019 and 05/06/2023 there were 531,735 FIT results among 495,121 patients. Rates of testing increased from 0.69 per thousand person-years in 2019 (95% CI 0.68-0.71) to 27.70 in 2023 (95% CI 27.56-27.85). There were large variations in testing between regions, with rates >3-fold higher in the Northeast than the West Midlands: 17.05 (95% CI 16.87-17.23) versus 4.72 (95% CI 4.67-4.76) per thousand person-years. About 20.4% of FIT results were ≥10µgHb/g. Despite increased testing, this did not change over time. The proportion of FIT ≥10µgHb/g was lower in regions with higher rates of testing, from 16.7% (Southwest) to 25.3% (Southeast; rates of testing 14.62 and 8.00 per thousand person-years respectively). This difference in proportion of FIT ≥10µgHb/g persisted after adjusting for year, sex and age (OR 0.57, 95% CI 0.55-0.58).</p><p><strong>Conclusion: </strong>Rapid increases in FIT testing in primary care show large, persistent variations between English regions, which correlate with the proportion of results meeting the criteria for onward referral. Differences in the population tested and FIT's implementation between regions are likely to explain these variations.</p>","PeriodicalId":10362,"journal":{"name":"Clinical Epidemiology","volume":"17 ","pages":"523-535"},"PeriodicalIF":3.4,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12161145/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144282686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Capmatinib was approved by the US Food and Drug Administration (FDA) in 2020 for the treatment of non-small cell lung cancer with MET exon 14 mutation (METex14). Real-world studies on the safety of Capmatinib are still lacking. The aim of this study was to explore the significant adverse drug reactions (ADRs) associated with Capmatinib through the FDA Adverse Event Reporting System (FAERS) database.
Methods: We employed the reported odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and the Empirical Bayes Geometric Mean (EBGM) as primary algorithms for the disproportionality analysis. Adverse events (AEs) were classified as adverse drug reactions (ADRs) solely upon fulfillment of criteria across all four algorithms.
Results: In our study, there were 1767 cases explicitly attributed to Capmatinib. A total of 38 ADRs in preferred terms (PTs) level in 14 system-organ categories (SOCs) were identified after filtering. Notably, unexpected SOC "Ear and labyrinth disorders" and PTs "hypoacusis" and "deafness" were identified, without being specified in the drug label.
Conclusion: Our study identified unexpected ADRs associated with Capmatinib, with a focus on ototoxicity-related events, underscoring the need for enhanced clinical monitoring and further investigation into the underlying mechanisms.
{"title":"Exploring Ototoxicity Associated with Capmatinib: Insights from a Real-World Data Analysis of the FDA Adverse Event Reporting System (FAERS) Database.","authors":"Yuhao Lin, Siqi Xu, Muling Deng, Yongli Cao, Jianming Ding, Tingting Lin","doi":"10.2147/CLEP.S528454","DOIUrl":"10.2147/CLEP.S528454","url":null,"abstract":"<p><strong>Background: </strong>Capmatinib was approved by the US Food and Drug Administration (FDA) in 2020 for the treatment of non-small cell lung cancer with MET exon 14 mutation (METex14). Real-world studies on the safety of Capmatinib are still lacking. The aim of this study was to explore the significant adverse drug reactions (ADRs) associated with Capmatinib through the FDA Adverse Event Reporting System (FAERS) database.</p><p><strong>Methods: </strong>We employed the reported odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and the Empirical Bayes Geometric Mean (EBGM) as primary algorithms for the disproportionality analysis. Adverse events (AEs) were classified as adverse drug reactions (ADRs) solely upon fulfillment of criteria across all four algorithms.</p><p><strong>Results: </strong>In our study, there were 1767 cases explicitly attributed to Capmatinib. A total of 38 ADRs in preferred terms (PTs) level in 14 system-organ categories (SOCs) were identified after filtering. Notably, unexpected SOC \"Ear and labyrinth disorders\" and PTs \"hypoacusis\" and \"deafness\" were identified, without being specified in the drug label.</p><p><strong>Conclusion: </strong>Our study identified unexpected ADRs associated with Capmatinib, with a focus on ototoxicity-related events, underscoring the need for enhanced clinical monitoring and further investigation into the underlying mechanisms.</p>","PeriodicalId":10362,"journal":{"name":"Clinical Epidemiology","volume":"17 ","pages":"513-521"},"PeriodicalIF":3.4,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12145114/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144246770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}