Journal of the Royal Society of Medicine最新文献

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Preparing the way for novel blood-based biomarkers and disease-modifying treatments for Alzheimer's disease in the NHS in the UK.
IF 8.8 2区 医学
Journal of the Royal Society of Medicine Pub Date : 2025-01-28 DOI: 10.1177/01410768241311139
Roxanna Korologou-Linden, Lefkos Middleton, Azeem Majeed, Dasha Nicholls, Oliver Robinson, Benedict Hayhoe
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引用次数: 0
Regulating reliably: building high-reliability regulators in healthcare.
IF 8.8 2区 医学
Journal of the Royal Society of Medicine Pub Date : 2025-01-24 DOI: 10.1177/01410768241309191
Carl Macrae
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引用次数: 0
'Adult ADHD' and 'neurodevelopmental disorder' - a critique of the latest socio-psychiatric 'epidemic'. “成人多动症”和“神经发育障碍”——对最新社会精神病学“流行病”的批评。
IF 8.8 2区 医学
Journal of the Royal Society of Medicine Pub Date : 2025-01-22 DOI: 10.1177/01410768241311321
Derek Summerfield
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引用次数: 0
CORRIGENDUM to 'British maternal mortality in the 19th and early 20th centuries'.
IF 8.8 2区 医学
Journal of the Royal Society of Medicine Pub Date : 2025-01-22 DOI: 10.1177/01410768241310682
{"title":"CORRIGENDUM to 'British maternal mortality in the 19th and early 20th centuries'.","authors":"","doi":"10.1177/01410768241310682","DOIUrl":"10.1177/01410768241310682","url":null,"abstract":"","PeriodicalId":17271,"journal":{"name":"Journal of the Royal Society of Medicine","volume":" ","pages":"1410768241310682"},"PeriodicalIF":8.8,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11755419/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143023947","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}
引用次数: 0
John Keats: the mystery years. 约翰-济慈:神秘岁月
IF 8.8 2区 医学
Journal of the Royal Society of Medicine Pub Date : 2024-12-01 Epub Date: 2024-09-20 DOI: 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}
引用次数: 0
Whether you are highly numerate, literate, or both, stay humble and read more poetry.
IF 8.8 2区 医学
Journal of the Royal Society of Medicine Pub Date : 2024-12-01 DOI: 10.1177/01410768241308879
Kamran Abbasi
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引用次数: 0
Death Notices. 死亡通知。
IF 8.8 2区 医学
Journal of the Royal Society of Medicine Pub Date : 2024-12-01 DOI: 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}
引用次数: 0
Whether you are highly numerate, literate, or both, stay humble and read more poetry. 无论你的计算能力很强,还是识字,或者两者兼而有之,保持谦虚,多读诗。
IF 8.8 2区 医学
Journal of the Royal Society of Medicine Pub Date : 2024-12-01 DOI: 10.1177/01410768241308879
Kamran Abbasi
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引用次数: 0
Food in Daniel 1:1-16: the first report of a controlled experiment? 但以理书》1:1-16 中的食物:首次对照实验报告?
IF 8.8 2区 医学
Journal of the Royal Society of Medicine Pub Date : 2024-12-01 Epub Date: 2024-11-15 DOI: 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}
引用次数: 0
Deriving and validating a risk prediction model for long COVID: a population-based, retrospective cohort study in Scotland. 长 COVID 风险预测模型的得出与验证:苏格兰一项基于人群的回顾性队列研究。
IF 8.8 2区 医学
Journal of the Royal Society of Medicine Pub Date : 2024-12-01 Epub Date: 2024-11-18 DOI: 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
{"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}
引用次数: 0
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