Default profile SUNDAY ADETUNJI
Needed 30 Nov 2025
Authorship, Acknowledgement, Membership points
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Pregnancy & Childbirth

Living review & NMA: Low-dose aspirin to prevent preeclampsia—optimal dose/timing by risk & setting (LMIC/HIC)

Skills / interests: Risk of Bias assessment, Dissemination / Knowledge Translation, Statistical analysis, Clinical peer review, PICO annotation, Review development, Screening and selecting studies, Using GRADE, Data analysis and organisation, Advocacy, Writing (drafting and editing), Guideline development, Copy-editing and proof-reading, Patient and public input, Summary of Findings tables, Searching for evidence, Methodological peer review, Prioritisation of review topics, Qualitative analysis, Project management, Training or mentoring, Data extraction

Methodological skills / interests: Artificial intelligence, Rapid reviews, Comparing multiple interventions (network meta-analysis and overviews), Information retrieval, Equity, Bias, Individual participant data meta-analysis, Adverse effects, Statistics, GRADEing, Prospective meta-analysis

Help us run a living systematic review + network meta-analysis on aspirin prophylaxis in pregnancy, comparing dose (75–162 mg), start time (<12, 12–16, >16 weeks), and risk strata. Roles: screening, data extraction, ROB2, GRADE, meta-analysis, SoF tables

  • Aim: Quantify comparative effectiveness of aspirin regimens for preeclampsia prevention; equity analyses for LMIC/HIC.

  • Tasks: Title/abstract screening (Rayyan), full-text eligibility, data extraction (template provided), ROB2, effect size calculation, pairwise + NMA, GRADE/SoF, plain-language summary.

  • Skills: Systematic review methods; ROB2; GRADE; stats (R/RevMan/‘netmeta’). Training provided.

  • Time: 2–4 hrs/week for 8–10 weeks (living updates quarterly).

  • Outputs: Protocol (PROSPERO), preprint, journal submission; named acknowledgements/authorship per ICMJE.

 

  • Methods backbone: Cochrane Handbook; Borenstein et al.; Sutton et al.; IPD-MA guidance (for planned IPD sub-project)

Ideal applicant

Reliable, detail-oriented reviewer (2–4 hrs/week) with experience in SR/NMA, RoB 2, GRADE, and R/RevMan (or willing to learn). Strong screening/data-extraction skills, clear communication, and timely updates. ECRs and LMIC applicants highly encouraged.

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Questions & comments

I can assist you ONLY with developing and refining your search strategy to find relevant evidence.

Default profile Suchita Dsilva - 2 days ago

Thank you, Suchita, that's perfectly fine

Default profile SUNDAY ADETUNJI (Task Poster) - 2 days ago
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