ArticleBiological reviews of the Cambridge Philosophical Society2021
Preferred reporting items for systematic reviews and meta-analyses in ecology and evolutionary biology: a PRISMA extension.
Article in Biological reviews of the Cambridge Philosophical Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers, 84 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
185 citing papers in PubMed, 84 syntheses or guidelines pooled it.
- Neutral interactions among non-native plants are common.The New phytologist · 2026Pooled it
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- Trade-offs in avian parental care: a review of theory and meta-analysis of brood size manipulations.Biological reviews of the Cambridge Philosophical Society · 2026Pooled it
- Global meta-analysis reveals urban-associated behavioural differences among wild populations.The Journal of animal ecology · 2026Pooled it
- Alcohol-Related Liver Disease After Metabolic Bariatric Surgery: Reassessing the Hidden Risk-A Meta-Analysis.Obesity surgery · 2026Pooled it
- Risk factors and prevalence of incontinence-associated dermatitis in elderly patients: a meta-analysis and systematic review.BMC geriatrics · 2026Pooled it
- A global review of mistletoe frugivory and seed dispersal: The plant perspective.Plant biology (Stuttgart, Germany) · 2026Pooled it
- The effects of anodal transcranial direct current stimulation on psychological factors in athletes: a systematic review and meta-analysis.BMC psychology · 2026Pooled it
- AI-guided meta-analysis of non-invasive prenatal testing platforms for trisomy 21 screening: comparative evaluation of cffDNA and fetal cell-based approaches.BMC pregnancy and childbirth · 2026Pooled it
- Two decades of resurrection studies: What have we learned about contemporary evolution of plant species?American journal of botany · 2026Pooled it
- Gestational Diabetes and Long-Term Risk of Maternal Kidney Disease: Systematic Review and Meta-Analysis of Population Base Cohort Studies.Endocrinology, diabetes & metabolism · 2026Pooled it
- The Effect of Empagliflozin on Renal Outcomes in Patients With Established Cardiovascular Disease: Systematic Review and Meta-Analysis of Randomised Placebo-Controlled Trials.Endocrinology, diabetes & metabolism · 2026Pooled it
- Fecal microbiota transplantation in inflammatory bowel disease: a systematic review and meta-analysis of randomized controlled trials (2020-2025).Inflammopharmacology · 2026Pooled it
- Artificial Intelligence in Dental Treatment Planning and Diagnostic Decision-Making: A Systematic Review and Meta-Analysis.Clinical and experimental dental research · 2026Pooled it
- How effective are entomopathogenic nematodes for vine weevil (Coleoptera: Curculionidae) biological control? A meta-analysis.Pest management science · 2026Pooled it
- Can MicroRNAs serve as reliable biomarkers and novel therapeutic targets in age-related macular degeneration? A systematic review and meta-analysis.Journal of translational medicine · 2026Pooled it
- Predator-prey temporal niche partitioning under human disturbance: a meta-analysis.Nature communications · 2026Pooled it
- Risk and Characteristics of Constipation After Metabolic and Bariatric Surgery: A Systematic Review and Meta-Analysis.Obesity surgery · 2026Pooled it
- Association of plant pathogen vectors and vector-borne plant pathogens with landscape composition: a meta-analysis.Environmental entomology · 2026Pooled it
- Meta-analysis reveals negative but highly variable impacts of invasive alien species across terrestrial insect orders.Nature communications · 2026Pooled it
125 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the early 1990s, ecologists and evolutionary biologists have aggregated primary research using meta-analytic methods to understand ecological and evolutionary phenomena. Meta-analyses can resolve long-standing disputes, dispel spurious claims, and generate new research questions. At their worst, however, meta-analysis publications are wolves in sheep's clothing: subjective with biased conclusions, hidden under coats of objective authority. Conclusions can be rendered unreliable by inappropriate statistical methods, problems with the methods used to select primary research, or problems within the primary research itself. Because of these risks, meta-analyses are increasingly conducted as part of systematic reviews, which use structured, transparent, and reproducible methods to collate and summarise evidence. For readers to determine whether the conclusions from a systematic review or meta-analysis should be trusted - and to be able to build upon the review - authors need to report what they did, why they did it, and what they found. Complete, transparent, and reproducible reporting is measured by 'reporting quality'. To assess perceptions and standards of reporting quality of systematic reviews and meta-analyses published in ecology and evolutionary biology, we surveyed 208 researchers with relevant experience (as authors, reviewers, or editors), and conducted detailed evaluations of 102 systematic review and meta-analysis papers published between 2010 and 2019. Reporting quality was far below optimal and approximately normally distributed. Measured reporting quality was lower than what the community perceived, particularly for the systematic review methods required to measure trustworthiness. The minority of assessed papers that referenced a guideline (~16%) showed substantially higher reporting quality than average, and surveyed researchers showed interest in using a reporting guideline to improve reporting quality. The leading guideline for improving reporting quality of systematic reviews is the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement. Here we unveil an extension of PRISMA to serve the meta-analysis community in ecology and evolutionary biology: PRISMA-EcoEvo (version 1.0). PRISMA-EcoEvo is a checklist of 27 main items that, when applicable, should be reported in systematic review and meta-analysis publications summarising primary research in ecology and evolutionary biology. In this explanation and elaboration document, we provide guidance for authors, reviewers, and editors, with explanations for each item on the checklist, including supplementary examples from published papers. Authors can consult this PRISMA-EcoEvo guideline both in the planning and writing stages of a systematic review and meta-analysis, to increase reporting quality of submitted manuscripts. Reviewers and editors can use the checklist to assess reporting quality in the manuscripts they review. Overall, PRISMA-EcoEvo is a resource for the ecology and evolutionary biology community to facilitate transparent and comprehensively reported systematic reviews and meta-analyses.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.