Purpose: Our objectives were to analyze the gender of reviewers of all manuscripts submitted to the Canadian Journal of Anesthesia in 2016 and 2017. We hypothesized that the percentage of reviewers who were women would be ≤ 25%, an estimate based on the expert opinion estimates of the investigators and much less than the overall proportion of women in medicine.
Methods: Reviewers and authors of manuscripts submitted between 1 January 2016 and 31 December 2017 were coded as "woman", "man", or "unknown gender" according to an internet search of the person's name, address, medical registration, and/or first name. We also explored associations between reviewer gender and author gender, numbers and types of manuscripts assigned, as well as speed of acceptance and completion of reviews.
Results: Of the 1,300 manuscripts for which first and corresponding author gender were identified, 855 manuscripts (66%) were only assessed internally by the editor-in-chief and/or associate editors, and 445 manuscripts (34%) were sent for external peer review. Of the 280 reviewers for these manuscripts, 64 (22.9%; 95% confidence interval [CI], 18.3 to 28.1) were women (P = 0.40 compared with 25%). Women provided 174 (18%) and men provided 780 (82%) of the 954 external written reviews. Four hundred and seventy of the 1,300 manuscripts (36.2%; 95% CI, 33.6 to 38.8) had a woman as the first and/or corresponding author.
Conclusions: Despite 36.2% of the authors being women, only 22.9% of reviewers were women and they represented only 18% of the individual written reviews gathered. Our results are consistent with previous reports of underrepresentation of women as reviewers in various disciplines. Formal policies that promote increased gender diversity should be considered.
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http://dx.doi.org/10.1007/s12630-019-01533-2 | DOI Listing |
J Alzheimers Dis
January 2025
Department of Neurology and the Franke Barrow Global Neuroscience Education Center, Barrow Neurological Institute, Phoenix, AZ, USA.
Background: The aim of this study was to examine the potential added value of including neuropsychiatric symptoms (NPS) in machine learning (ML) models, along with demographic features and Alzheimer's disease (AD) biomarkers, to predict decline or non-decline in global and domain-specific cognitive scores among community-dwelling older adults.
Objective: To evaluate the impact of adding NPS to AD biomarkers on ML model accuracy in predicting cognitive decline among older adults.
Methods: The study was conducted in the setting of the Mayo Clinic Study of Aging, including participants aged ≥ 50 years with information on demographics (i.
J Alzheimers Dis
January 2025
Department of Public Health, Fujita Health University School of Medicine, Toyoake, Japan.
Background: Research on the influence of heart failure on mortality after Alzheimer's disease diagnosis is limited.
Objective: To evaluate the association between comorbid heart failure and mortality following Alzheimer's disease diagnosis, particularly considering sex differences.
Methods: We analyzed administrative claims data from Japan, involving 32,363 individuals (11,064 men and 21,299 women) aged 75 or older newly diagnosed with Alzheimer's disease, with 7% having comorbid heart failure.
J Alzheimers Dis
January 2025
Department of Medical Sciences, Minas Gerais State University, Minas Gerais, Brazil.
Background: Research on body composition and fat distribution in Alzheimer's disease (AD) has presented conflicting findings.
Objective: Compare body composition and anthropometric measurements in older adults with and without AD.
Methods: A systematic review and meta-analysis were conducted following Cochrane guidelines and PRISMA standards.
J Alzheimers Dis
January 2025
Groningen Research Institute of Pharmacy, PharmacoTherapy, Epidemiology & Economics, University of Groningen, Groningen, The Netherlands.
Background: Alzheimer's disease (AD) is the most prevalent form of dementia, characterized by amyloid-β plaques and neurofibrillary tangles. With an aging population, both AD and comorbidities are increasingly common. Managing comorbidities often requires multiple medications, leading to polypharmacy, defined as the concurrent use of five or more medications.
View Article and Find Full Text PDFCureus
December 2024
Department of Community Medicine, Institute of Medical Sciences and Sum Hospital, Siksha 'O' Anusandhan, Bhubaneswar, IND.
Introduction Human papillomavirus (HPV) is the most common causative agent for cervical cancer (CC) in women. Despite extensive initiatives, the acceptance and implementation of vaccinations have remained inadequate, hindering a significant impact on public health outcomes. This study aimed to provide a comprehensive assessment of the knowledge, awareness, and practices (KAP) scores of medical and dental students regarding HPV infection and vaccination.
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