A Scoping Review of Published and Ongoing Prospective Meta-Analyses in Health Research: Study Protocol
Love, T. D.; Li, X.; Sotiropoulos, J. X.; Williams, J. G.; Libesman, S.; Hunter, K. E.; Seidler, A. L.
Show abstract
BackgroundProspective meta-analysis (PMA) is an emerging evidence synthesis methodology, in which the study selection criteria, hypotheses and analyses are finalised prior to the knowledge of included study results. This has numerous benefits over retrospective meta-analysis, including a reduction in selection bias, selective outcome reporting and publication bias and improved data harmonisation. Yet, common misunderstandings of the PMA methodology remain, leading to inappropriate and/or suboptimal implementation by researchers. ObjectivesTo investigate the landscape of the published and ongoing prospective meta-analyses. MethodsWe will systematically search the International prospective Register of Systematic Reviews (PROSPERO) for PMAs from inception to January 2023 and screen these studies in COVIDENCE. The results of this search will be combined with a search of medical databases (PubMed, Embase, Cochrane Database of Systematic Reviews) up to 2018, to capture PMA that started prior to the launch and subsequently increasingly wide implementation of PROSPERO in February 2011. All PMAs conducted in human health research will be eligible for inclusion. All records will be double-screened, and data will be double extracted, with conflicts resolved through consensus. DisseminationInsights from this scoping review will inform adaptions to current PMA guidelines and thus assist researchers in planning future PMAs in their fields.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Strategies used to manage overlap of primary study data by exercise-related overviews. Protocol for a systematic methodological review 97%
- Comparison of preprints and final journal publications from COVID-19 Studies: Discrepancies in results reporting and spin in interpretation 95%
- Effectiveness and clinical relevance of kinesio taping in musculoskeletal disorders: A protocol for an overview of systematic reviews and evidence mapping 95%
Similar papers in this journal
- Modelling the impact of behavioural interventions during pandemics: A systematic review 95%
- Common misconceptions held by health researchers when interpreting linear regression assumptions, a cross-sectional study 94%
- Effectiveness of aerobic physical exercise on depression symptoms in adults: A protocol for a systematic review and meta-analysis of randomized clinical trials 94%
Similar papers in this journal
- The impact of retracted randomised controlled trials on systematic reviews and clinical practice guidelines: a meta-epidemiological study 96%
- Characteristics and completeness of reporting of systematic reviews of prevalence studies in adult populations: a meta-epidemiological study 96%
- Methods used to select results to include in meta-analyses of nutrition research: a meta-research study 96%
Similar papers in this journal
- Is artificial intelligence for medical professionals serving the patients? Protocol for a mixed method systematic review on patient-relevant benefits and harms of algorithmic decision-making 92%
- Evidence-Based, Cost-Effective Interventions To Suppress The COVID-19 Pandemic: A Systematic Review 92%
- Community mobilisation approaches to preventing and reducing adolescent multiple risk behaviour: a realist review protocol 91%
Similar papers in this journal
- Strategies and Tools for electronic health records and physician workflow alignment: A scoping review protocol 91%
- The Womens Wellness After Giving Birth Program (WWAGBP) for Vietnamese women: A single-arm trial protocol 91%
- Effects of cash transfer and incentive programs on service utilization and treatment outcomes related to neglected tropical diseases and their impact on health and nutrition in low and middle-income countries: a protocol for a systematic review 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.