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| MOOSE Guidelines | |
|---|---|
| Name | MOOSE Guidelines |
| Abbreviation | MOOSE |
| Field | Epidemiology; Meta-analysis; Systematic reviews |
| Introduced | 2000 |
| Developers | Meta-analysis Of Observational Studies in Epidemiology Group |
| Country | International |
| Related | PRISMA; CONSORT; STROBE; GRADE |
MOOSE Guidelines
The MOOSE Guidelines provide a structured reporting framework for meta-analyses of observational studies, intended to improve transparency, reproducibility, and interpretability in literature synthesis. Originating from a multidisciplinary group, the guidelines address design, conduct, and reporting elements specific to cohort, case-control, and cross-sectional meta-analyses, promoting comparability across works produced by researchers in clinical medicine, public health, and allied fields.
The guidelines emerged from concerns raised by researchers about variability in reporting meta-analyses of observational studies, paralleling efforts such as CONSORT for randomized trials, STROBE for observational studies, and PRISMA for systematic reviews. They aim to ensure that authors disclose search strategies, selection criteria, data extraction methods, and bias assessments to facilitate critical appraisal by readers affiliated with institutions like World Health Organization, Centers for Disease Control and Prevention, and academic centers such as Johns Hopkins University and University of Oxford. By prescribing items addressing heterogeneity, confounding, and sensitivity analyses, the guidelines respond to critiques from editorial boards of journals like The Lancet, Journal of the American Medical Association, and New England Journal of Medicine.
The development involved epidemiologists, statisticians, journal editors, and clinicians from organizations including Cochrane Collaboration, International Committee of Medical Journal Editors, and professional societies such as American Public Health Association and European Respiratory Society. Consensus meetings drew on methodological work by investigators at Harvard University, University of Toronto, and Karolinska Institutet, synthesizing recommendations from empirical methodological research on publication bias, small-study effects, and meta-regression. The process incorporated peer review from editors of BMJ and representatives from funding bodies like National Institutes of Health and Wellcome Trust. Finalized items reflect negotiated standards intended to be broadly applicable across specialties from cardiology departments at Mayo Clinic to oncology units at Memorial Sloan Kettering Cancer Center.
The checklist enumerates items covering title, abstract, introduction, methods, results, discussion, and funding. Method items require explicit reporting of search databases such as MEDLINE, EMBASE, and CINAHL, selection criteria referencing study designs like cohort and case-control studies evaluated at centers such as Massachusetts General Hospital, and data extraction processes involving dual independent reviewers as recommended by editorial policies at Annals of Internal Medicine. Statistical components include reporting of effect measures (odds ratio, risk ratio, hazard ratio) and heterogeneity statistics like I² used in meta-analyses by groups at Stanford University and University of California, San Francisco. Bias assessment items reference tools and approaches comparable to those discussed by researchers at Cochrane Handbook working groups and methodologists associated with GRADE.
Adoption of the guidelines is encouraged by journal editors and peer reviewers; many journals affiliated with publishers such as Elsevier, Springer Nature, and Wiley recommend adherence in author instructions. Implementation emphasizes preregistration of protocols in registries like PROSPERO and transparent declaration of conflicts of interest, echoing policies of International Committee of Medical Journal Editors and funding stipulations from agencies including European Research Council. Reporting standards call for inclusion of flow diagrams inspired by formats used by PRISMA and tabulated summaries of study characteristics akin to tables common in publications from Johns Hopkins Bloomberg School of Public Health.
Compared to PRISMA, which targets systematic reviews broadly, the MOOSE checklist concentrates on observational study meta-analyses, addressing confounding and exposure assessment issues highlighted by researchers at Columbia University and University College London. In contrast to CONSORT's randomized trial focus and STROBE's primary-study reporting, MOOSE interfaces with both by guiding synthesis reporting for nonrandomized data, similar to methodological frameworks advanced by scholars at Yale University and University of Michigan. Its scope overlaps with standards advocated by Cochrane Collaboration for review conduct but is distinct in prescriptive reporting detail specific to observational evidence synthesis.
The guidelines have influenced editorial policies across specialty journals in fields ranging from epidemiology to environmental health, with citations and endorsements appearing in literature produced by investigators at University of California, Los Angeles and Imperial College London. Empirical evaluations conducted by methodologists at McMaster University and University of Sydney suggest improved completeness of reporting in meta-analyses that cite guideline adherence, though uptake varies by journal impact factor and author region. Training programs and workshops at conferences held by organizations like Society for Epidemiologic Research and European Public Health Association have incorporated MOOSE principles in curricula.
Critics from academic centers including Duke University and University of Edinburgh note that checklist adherence does not guarantee methodological rigor and can produce a false sense of quality if core biases in original studies remain unaddressed. Some methodologists argue that evolving statistical techniques for causal inference, developed at Carnegie Mellon University and London School of Hygiene & Tropical Medicine, require updates to reporting items. Others highlight variable endorsement by publishers such as Taylor & Francis and inconsistent enforcement by editorial boards at specialty journals, limiting universal impact.
Category:Reporting guidelines