Pub Date : 2025-01-01Epub Date: 2024-11-15DOI: 10.1177/01410768241290726
Albert Persaud, Dinesh Bhugra, Antonio Ventriglio
{"title":"Addressing visa inequities in health: a geopsychiatry perspective.","authors":"Albert Persaud, Dinesh Bhugra, Antonio Ventriglio","doi":"10.1177/01410768241290726","DOIUrl":"10.1177/01410768241290726","url":null,"abstract":"","PeriodicalId":17271,"journal":{"name":"Journal of the Royal Society of Medicine","volume":" ","pages":"26-29"},"PeriodicalIF":8.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11572713/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142639157","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 : 2025-01-01Epub Date: 2024-11-19DOI: 10.1177/01410768241299529
H Logan Ellis, J Smith, A M Murtagh, M Al-Agil, M B Whyte
{"title":"Using recruitment data instead of national population ethnicity proportions in clinical trial preparation may introduce bias.","authors":"H Logan Ellis, J Smith, A M Murtagh, M Al-Agil, M B Whyte","doi":"10.1177/01410768241299529","DOIUrl":"10.1177/01410768241299529","url":null,"abstract":"","PeriodicalId":17271,"journal":{"name":"Journal of the Royal Society of Medicine","volume":" ","pages":"4"},"PeriodicalIF":8.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11577546/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142668215","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 : 2025-01-01Epub Date: 2025-01-24DOI: 10.1177/01410768241309191
Carl Macrae
{"title":"Regulating reliably: building high-reliability regulators in healthcare.","authors":"Carl Macrae","doi":"10.1177/01410768241309191","DOIUrl":"10.1177/01410768241309191","url":null,"abstract":"","PeriodicalId":17271,"journal":{"name":"Journal of the Royal Society of Medicine","volume":" ","pages":"11-15"},"PeriodicalIF":8.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11760069/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143032861","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 : 2025-01-01Epub Date: 2024-11-19DOI: 10.1177/01410768241288343
Donald A Redelmeier, Edward E Etchells, Umberin Najeeb
{"title":"Trusting in lived experience.","authors":"Donald A Redelmeier, Edward E Etchells, Umberin Najeeb","doi":"10.1177/01410768241288343","DOIUrl":"10.1177/01410768241288343","url":null,"abstract":"","PeriodicalId":17271,"journal":{"name":"Journal of the Royal Society of Medicine","volume":" ","pages":"5-10"},"PeriodicalIF":8.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11577556/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142668212","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 : 2024-12-01Epub Date: 2024-09-20DOI: 10.1177/01410768241279029
Nick Black
{"title":"John Keats: the mystery years.","authors":"Nick Black","doi":"10.1177/01410768241279029","DOIUrl":"10.1177/01410768241279029","url":null,"abstract":"","PeriodicalId":17271,"journal":{"name":"Journal of the Royal Society of Medicine","volume":" ","pages":"392-397"},"PeriodicalIF":8.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11572714/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142289947","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 : 2024-12-01DOI: 10.1177/01410768241308879
Kamran Abbasi
{"title":"Whether you are highly numerate, literate, or both, stay humble and read more poetry.","authors":"Kamran Abbasi","doi":"10.1177/01410768241308879","DOIUrl":"10.1177/01410768241308879","url":null,"abstract":"","PeriodicalId":17271,"journal":{"name":"Journal of the Royal Society of Medicine","volume":"117 12","pages":"391"},"PeriodicalIF":8.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11662320/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143032847","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 : 2024-12-01DOI: 10.1177/01410768241306260
{"title":"Death Notices.","authors":"","doi":"10.1177/01410768241306260","DOIUrl":"10.1177/01410768241306260","url":null,"abstract":"","PeriodicalId":17271,"journal":{"name":"Journal of the Royal Society of Medicine","volume":"117 12","pages":"417"},"PeriodicalIF":8.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11662318/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142854380","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 : 2024-12-01DOI: 10.1177/01410768241308879
Kamran Abbasi
{"title":"Whether you are highly numerate, literate, or both, stay humble and read more poetry.","authors":"Kamran Abbasi","doi":"10.1177/01410768241308879","DOIUrl":"https://doi.org/10.1177/01410768241308879","url":null,"abstract":"","PeriodicalId":17271,"journal":{"name":"Journal of the Royal Society of Medicine","volume":"117 12","pages":"391"},"PeriodicalIF":8.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142854435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01Epub Date: 2024-11-15DOI: 10.1177/01410768241294253
Susan Weingarten
{"title":"Food in Daniel 1:1-16: the first report of a controlled experiment?","authors":"Susan Weingarten","doi":"10.1177/01410768241294253","DOIUrl":"10.1177/01410768241294253","url":null,"abstract":"","PeriodicalId":17271,"journal":{"name":"Journal of the Royal Society of Medicine","volume":" ","pages":"415-416"},"PeriodicalIF":8.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11572707/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142639168","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 : 2024-12-01Epub Date: 2024-11-18DOI: 10.1177/01410768241297833
Karen Jeffrey, Vicky Hammersley, Rishma Maini, Anna Crawford, Lana Woolford, Ashleigh Batchelor, David Weatherill, Chris White, Tristan Millington, Robin Kerr, Siddharth Basetti, Calum Macdonald, Jennifer K Quint, Steven Kerr, Syed Ahmar Shah, Amanj Kurdi, Colin R Simpson, Srinivasa Vittal Katikireddi, Igor Rudan, Chris Robertson, Lewis Ritchie, Aziz Sheikh, Luke Daines
Objectives: Using electronic health records, we derived and internally validated a prediction model to estimate risk factors for long COVID and predict individual risk of developing long COVID.
Participants: Adults (≥18 years) with a positive COVID-19 test, registered with a general medical practice between 1 March 2020 and 20 October 2022.
Main outcome measures: Adjusted odds ratios (aORs) with 95% confidence intervals (CIs) for predictors of long COVID, and patients' predicted probabilities of developing long COVID.
Results: A total of 68,486 (5.6%) patients were identified as having long COVID. Predictors of long COVID were increasing age (aOR: 3.84; 95% CI: 3.66-4.03 and aOR: 3.66; 95% CI: 3.27-4.09 in first and second splines), increasing body mass index (BMI) (aOR: 3.17; 95% CI: 2.78-3.61 and aOR: 3.09; 95% CI: 2.13-4.49 in first and second splines), severe COVID-19 (aOR: 1.78; 95% CI: 1.72-1.84); female sex (aOR: 1.56; 95% CI: 1.53-1.60), deprivation (most versus least deprived quintile, aOR: 1.40; 95% CI: 1.36-1.44), several existing health conditions. Predictors associated with reduced long COVID risk were testing positive while Delta or Omicron variants were dominant, relative to when the Wild-type variant was dominant (aOR: 0.85; 95% CI: 0.81-0.88 and aOR: 0.64; 95% CI: 0.61-0.67, respectively) having received one or two doses of COVID-19 vaccination, relative to unvaccinated (aOR: 0.90; 95% CI: 0.86-0.95 and aOR: 0.96; 95% CI: 0.93-1.00).
Conclusions: Older age, higher BMI, severe COVID-19 infection, female sex, deprivation and comorbidities were predictors of long COVID. Vaccination against COVID-19 and testing positive while Delta or Omicron variants were dominant predicted reduced risk.
{"title":"Deriving and validating a risk prediction model for long COVID: a population-based, retrospective cohort study in Scotland.","authors":"Karen Jeffrey, Vicky Hammersley, Rishma Maini, Anna Crawford, Lana Woolford, Ashleigh Batchelor, David Weatherill, Chris White, Tristan Millington, Robin Kerr, Siddharth Basetti, Calum Macdonald, Jennifer K Quint, Steven Kerr, Syed Ahmar Shah, Amanj Kurdi, Colin R Simpson, Srinivasa Vittal Katikireddi, Igor Rudan, Chris Robertson, Lewis Ritchie, Aziz Sheikh, Luke Daines","doi":"10.1177/01410768241297833","DOIUrl":"10.1177/01410768241297833","url":null,"abstract":"<p><strong>Objectives: </strong>Using electronic health records, we derived and internally validated a prediction model to estimate risk factors for long COVID and predict individual risk of developing long COVID.</p><p><strong>Design: </strong>Population-based, retrospective cohort study.</p><p><strong>Setting: </strong>Scotland.</p><p><strong>Participants: </strong>Adults (≥18 years) with a positive COVID-19 test, registered with a general medical practice between 1 March 2020 and 20 October 2022.</p><p><strong>Main outcome measures: </strong>Adjusted odds ratios (aORs) with 95% confidence intervals (CIs) for predictors of long COVID, and patients' predicted probabilities of developing long COVID.</p><p><strong>Results: </strong>A total of 68,486 (5.6%) patients were identified as having long COVID. Predictors of long COVID were increasing age (aOR: 3.84; 95% CI: 3.66-4.03 and aOR: 3.66; 95% CI: 3.27-4.09 in first and second splines), increasing body mass index (BMI) (aOR: 3.17; 95% CI: 2.78-3.61 and aOR: 3.09; 95% CI: 2.13-4.49 in first and second splines), severe COVID-19 (aOR: 1.78; 95% CI: 1.72-1.84); female sex (aOR: 1.56; 95% CI: 1.53-1.60), deprivation (most versus least deprived quintile, aOR: 1.40; 95% CI: 1.36-1.44), several existing health conditions. Predictors associated with reduced long COVID risk were testing positive while Delta or Omicron variants were dominant, relative to when the Wild-type variant was dominant (aOR: 0.85; 95% CI: 0.81-0.88 and aOR: 0.64; 95% CI: 0.61-0.67, respectively) having received one or two doses of COVID-19 vaccination, relative to unvaccinated (aOR: 0.90; 95% CI: 0.86-0.95 and aOR: 0.96; 95% CI: 0.93-1.00).</p><p><strong>Conclusions: </strong>Older age, higher BMI, severe COVID-19 infection, female sex, deprivation and comorbidities were predictors of long COVID. Vaccination against COVID-19 and testing positive while Delta or Omicron variants were dominant predicted reduced risk.</p>","PeriodicalId":17271,"journal":{"name":"Journal of the Royal Society of Medicine","volume":" ","pages":"402-414"},"PeriodicalIF":8.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11574934/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142648346","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}
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