Sleep problems are an escalating global health concern, with prevalence estimates ranging from 8.3% to 45%. Physicians are disproportionately affected, with rates around 44% compared with 36% in the general population. In Bangladesh, reported rates range from 32% to 58%, with physicians being particularly vulnerable. Poor sleep among physicians is strongly linked to burnout, medical errors and increased mental health risks. Despite these serious implications, existing evidence from Bangladesh remains fragmented and inconsistent, limiting its utility for health policy and workforce interventions. This review therefore seeks to generate reliable pooled prevalence estimates and identify key determinants of sleep problems among Bangladeshi physicians.

The research team will search the PubMed, Scopus, Web of Science, EMBASE, PsycInfo, ProQuest Medical, CINAHL, Google Scholar and BanglaJOL electronic and regional databases following Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines for published studies from inception until 1 August 2025, using truncated and phrase-searched keywords, relevant medical subject headings and citation chaining from grey literature. Observational cross-sectional studies published within the predefined timeframe, using validated assessment tools, and published in English or other major international languages will be prioritised for inclusion. Review papers, case reports, case series, intervention studies, commentaries, preprints, meeting abstracts, protocols, unpublished articles and letters will be excluded. Two independent reviewers will screen the retrieved papers using the Rayyan web-based application, with any disagreements resolved by a third reviewer. Quantitative estimates of sleep problems, including prevalence, duration, quality and associated risk factors among Bangladeshi physicians will be extracted. A narrative synthesis and meta-analysis will be performed to assess the pooled prevalence using a random effects meta-analysis model. Forest and funnel plots will be generated for visualisation. Heterogeneity will be assessed using the I² statistic, with sensitivity or subgroup analysis conducted as required. The quality of included studies will be evaluated using Joanna Briggs Institute critical appraisal tools for observational study designs. All statistical analysis will be conducted using Jamovi V2.7.6, R V4.3.2 ‘meta’ packages and GraphPad Prism V9.0.2.

This review will synthesise evidence from existing published literature. While completing the findings, the findings will be submitted to an international peer-reviewed journal and disseminated through conferences, policy forums and stakeholders’ networks to inform future research and interventions.

CRD420251123294.

This study compared the effectiveness of first-time use of faster aspart with rapid-acting insulin analogues in patients with type 1 diabetes (T1D) or type 2 diabetes (T2D).

This retrospective cohort study used data from 1 January 2017 to 8 May 2021 captured in the Clinical Practice Research Datalink Aurum database in the UK.

Patients with T1D or T2D either initiating faster aspart or another rapid-acting insulin analogue (‘new users’) or switching from a rapid-acting insulin analogue to faster aspart or to another rapid-acting insulin analogue (‘switchers’) were included. The index date was the date of first prescription of faster aspart or a rapid-acting insulin analogue, or of switching to a different rapid-acting analogue or to faster aspart.

A total of 9695 and 2170 patients were included in the new users (T1D, 1737; T2D, 7958) and switchers cohorts (T1D, 1764; T2D, 406), respectively.

Glycated haemoglobin (HbA1c) change at 6 months, occurrence of hypoglycaemia from index to 12 months post-index and treatment persistency from index to discontinuation or censoring.

Numerically greater reductions were observed with faster aspart than rapid-acting insulins in T1D switchers and new users in change in HbA1c at 6 months. Patients with T1D who switched to faster aspart experienced a significant reduction in rate of hypoglycaemia (p=0.0021). Treatment persistency was higher with faster aspart than with rapid-acting insulins among T1D switchers. No distinction in treatment persistency was observed between the treatment groups for T1D new users or T2D switchers.

Reductions in HbA1c were numerically larger with faster aspart in three of four subgroups. There was higher treatment persistency with faster aspart vs rapid-acting insulin analogues among T1D switchers.

NN1218-4967.

Depression, affecting 350 million people globally, is notably prevalent among medical students, particularly in South Asia, including Bangladesh. Despite several studies, no meta-analysis has systematically examined the prevalence and contributing factors of depression to address the mental health burden. This systematic review and meta-analysis protocol aims to consolidate findings on the regional prevalence and key risk factors among Bangladeshi medical students.

The research team will search the Medline (Pubmed), Scopus, Web of science, Embase, PsycInfo, BanglaJOL and Google Scholar electronic databases following the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines for published studies from their inception till 1^St March 2025, using truncated and phrase-searched keywords and relevant Medical Subject Headings (MeSHs). Observational studies, including cross-sectional, cohort and case-control studies published within the timeframe and following any validated depression assessment tools, with no language restriction, reporting bangladeshi medical students, will be included for the review. Review papers, intervention studies, commentaries, preprints, meeting abstracts, protocols, unpublished studies and letters will be excluded. Two independent reviewers (SS, IA) will screen the retrieved papers using Rayyan, a web-based application, while any disagreements between them will be resolved by a third reviewer (ATS). Exposure will refer to different factors associated with depression among Bangladeshi medical students. Prevalence of depression and associated factors will be extracted. Narrative synthesis (Qualitative information) and meta-analysis (Quantitative data) will be conducted to assess the pooled prevalence using the random-effects meta-analysis (REML) model. For enhanced visualisation of the included studies, forest and funnel plots will be constructed. Heterogeneity among the studies will be assessed using the I ² statistic, sensitivity,and subgroup analyses will be conducted, if necessary, based on study heterogeneity. The quality of the included studies will be assessed using the modified Newcastle-Ottawa Scale (mNOS) tool developed for observational study designs. All statistical analyses and visualization will be conducted using the R studio v.4.3.2 with built-in "meta"-packages and GraphPad Prism v.9.0.2.

This review will analyse existing published evidence. Findings will be submitted to a peer-reviewed journal and disseminated through conferences, policy forums and stakeholders to guide future research and interventions.

CRD 420251006480.