Cited by 579Meta-analysis and systematic reviewsscientometrics and bibliometrics researchPsychology Research and Bibliometrics

The DOI matches its Crossref record; 108 of the 111 references it cites were found in a registry or an index.

Meta-evaluation of meta-analysis: ten appraisal questions for biologists

Open access

Nakagawa, Shinichi, Noble, Daniel W. A., Senior, Alistair M., Lagisz, Malgorzata·2017·BMC Biology

DOI 10.1186/s12915-017-0357-7PMC PMC5336618

Open this paper in CoChat — free account Open PDF

Abstract

Meta-analysis is a statistical procedure for analyzing the combined data from different studies, and can be a major source of concise up-to-date information. The overall conclusions of a meta-analysis, however, depend heavily on the quality of the meta-analytic process, and an appropriate evaluation of the quality of meta-analysis (meta-evaluation) can be challenging. We outline ten questions biologists can ask to critically appraise a meta-analysis. These questions could also act as simple and accessible guidelines for the authors of meta-analyses. We focus on meta-analyses using non-human species, which we term 'biological' meta-analysis. Our ten questions are aimed at enabling a biologist to evaluate whether a biological meta-analysis embodies 'mega-enlightenment', a 'mega-mistake', or something in between.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1186/s12915-017-0357-7

Cites

108 of 108 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & the PRISMA Group* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00135 · Cited by 37,554
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000100 · Cited by 28,164
Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series
(2008) · doi:10.1002/9780470712184 · Cited by 25,048
Conducting Meta-Analyses in R with the metafor Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464
Introduction to Meta‐Analysis
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009) · doi:10.1002/9780470743386 · Cited by 14,225

Flagged first, then by citations

Show all 111 references

3 of the 111 references couldn’t be matched to a known paper.

Research works printed but not linked: 10

Hedges L, Olkin I. Statistical methods for meta-analysis. New York: Academic Press; 1985.
Nakagawa S, Kubo T. Statistical models for meta-analysis in ecology and evolution (in Japanese). Proc Inst Stat Math. 2016;64(1):105–21.
Borenstein M. Effect size for continuous data. In: Cooper H, Hedges LV, Valentine JC, editors. The handbook of research synthesis and meta-analysis. New York: Russell Sage Foundation; 2009. p. 221–35.
Fleiss JL, Berlin JA. Effect sizes for dichotomous data. In: Cooper H, Hedges LV, Valentine JC, editors. The handbook of research synthesis and meta-analysis. New York: Russell Sage Foundation; 2009. p. 237–53.
Rosenberg MS, Adams DC, Gurevitch J. MetaWin: statistical software for meta-analysis. 2nd ed. Sunderland: Sinauer; 2000.
Lajeunesse MJ. Meta-analysis and the comparative phylogenetic method. Am Nat. 2009;174:369–81. · DOI
Vetter D, Rucker G, Storch I. Meta-analysis: a need for well-defined usage in ecology and conservation biology. Ecosphere. 2013;4(6):1–24. · DOI
Higgins JPT, Green S. Cochrane handbook for systematic reviews of interventions. West Sussex: Wiley-Blackwell; 2009.
Cohen J. Statistical power analysis for the beahvioral sciences. 2nd ed. Hillsdale: Lawrence Erlbaum; 1988.
Sutton AJ. Publication bias. In: Cooper H, Hedges L, Valentine J, editors. The handbook of research synthesis and meta-analysis. New York: Russell Sage Foundation; 2009. p. 435–52.

Sorted by citations

Items 401–500 of 577

Additive effects dominate phosphorus offsetting positive effects of nitrogen to terrestrial ecosystem N2O emissions
Lu, X., Cao, W.-J., Jia, G., Wang, L., Liu, H.-M., Cao, X., Li, F., & Wen, L. (2025) · Geoderma · doi:10.1016/j.geoderma.2025.117483 · Cited by 3
Every move counts: Acute effects of sedentary breaks on glucose and lipid metabolism in middle-aged and older adults based on a multi-level meta-analysis
Yin, M., Zheng, H., Han, B., Wu, B., Qing, Y., Deng, H., Xu, K., Liu, H., Tao, M., Li, Y., et al. (2025) · Advanced Exercise and Health Science · doi:10.1016/j.aehs.2025.11.004 · Cited by 3
Unveiling the double-edged sword effect of saline water irrigation through meta-analysis: Reduced soil organic carbon storage versus mitigated CO2 and N2O emissions
Wei, Q., Chen, S., Wei, Q., Xu, J., Chen, P., Zhou, X., Qi, Z., Wu, R., Qi, Z., & Li, Z. (2025) · Agricultural Water Management · doi:10.1016/j.agwat.2025.110062 · Cited by 3
Cereal yield, yield stability, and nitrous oxide release in European conservation agriculture: A meta-analysis
Ceriani, R., Fohrafellner, J., Maenhout, P., Jarosch, K. A., Weiss, L., Bene, C. D., Baratella, V., Carboni, G., Mereu, V., Stefanova, M., et al. (2026) · Field Crops Research · doi:10.1016/j.fcr.2026.110386 · Cited by 3
Antibiotic pollution impedes nitrogen elimination rates and increases N2O emission from wetlands: A multilevel meta-analysis and the mechanisms
Jia, J., Chen, Y., Li, Y., Yu, J., Cun, D., Zhou, Y., Deng, S., & Chang, J. (2026) · Journal of environmental chemical engineering · doi:10.1016/j.jece.2026.121876 · Cited by 3
The relevance of starch and protein digestive dynamics on broiler performance: A Meta-analysis
Wang, M., Macelline, S. P., & Liu, S. Y. (2026) · Animal nutrition · doi:10.1016/j.aninu.2025.11.012 · Cited by 3
Top‐Down and Bottom‐Up Effects on Insect Herbivores Under Global Change—A Meta‐Analysis
Vidal, M. C., Comerford, M. S., Maguire, B., & Murphy, S. M. (2026) · Ecology Letters · doi:10.1111/ele.70386 · Cited by 3
The effects of brain endurance training on mental fatigue, endurance, and cognitive function: a systematic review and meta-analysis
Yu, J., Tan, Z., Huang, Y., Chen, L., & Li, D. (2026) · Frontiers in Physiology · doi:10.3389/fphys.2026.1746298 · Cited by 4
Heterogeneity of Atlantic blue crab (Callinectes sapidus) invasion stages and population structure in the Adriatic Sea
Shauer, M., Rainò, M., Antolini, P., Arnosti, P., Bergamin, S., Boban, J., Cazzetta, A., Donno, M. D. D., Pittà, C. D., Dessanai, D., et al. (2026) · Frontiers in Marine Science · doi:10.3389/fmars.2026.1852490 · Cited by 3
Where Machine Learning Fails in Predicting Emerging Contaminant Adsorption: A Decision-Oriented Framework for Model Credibility and Transferability
Fan, Y., Li, J., Ren, Y., Liu, C., & Zhang, W. (2026) · Environmental Science & Technology · doi:10.1021/acs.est.6c00882 · Cited by 3
Clinical Trial Assessment Principles of National Class III Medical Devices in China
Min, Y., Gao, J., Wu, J., Zhai, B., Han, D., & Liu, B. (2019) · Orthopaedic Surgery · doi:10.1111/os.12498 · Cited by 3
A Meta-Visual-Analysis of Single-Case Experimental Design Research
Kinney, C. E. L., Dowdy, A., & Wolfe, K. (2025) · Behavior Modification · doi:10.1177/01454455251320686 · Cited by 3
Evidence Synthesis in Recreational Fisheries Science and Management
Cooke, S. J., Rytwinski, T., Harper, M., Howarth, A. T., Nakagawa, S., & Hunt, L. M. (2025) · Fish & fisheries series/Fish and fisheries series (Print) · doi:10.1007/978-3-031-99739-6_19 · Cited by 3
Self-citation
Per Stups zum Energiesparen?
Andor, M., Bensch, G., Fels, K., & Kneppel, N. (2019) · Perspektiven der Wirtschaftspolitik · doi:10.1515/pwp-2018-0039 · Cited by 3
CKMM gene NcoI polymorphism and sport performance in elite athletes: A meta-analysis from 15 studies
Qin, Q., Pu, C., Li, J., Yang, C., & Wang, B. (2022) · Science & Sports · doi:10.1016/j.scispo.2021.04.004 · Cited by 3
Plant-associate interactions and diversification across trophic levels
Yoder, J. B., Dang, A., MacGregor, C., & Plaza, M. (2022) · Evolution Letters · doi:10.1002/evl3.296 · Cited by 3
A meta-evaluation of the quality of reporting and execution in ecological meta-analyses
Pappalardo, P., Song, C., Hungate, B. A., & Osenberg, C. W. (2023) · PLoS ONE · doi:10.1371/journal.pone.0292606 · Cited by 4
Could the Effect of Arsenic on the Testis be Reversed after Removing the Insult? A Meta-analysis Study
Guimarães‐Ervilha, L. O., Assis, M. Q., Iasbik‐Lima, T., Bento, I. P. D. S., & Machado‐Neves, M. (2025) · Biological Trace Element Research · doi:10.1007/s12011-025-04513-4 · Cited by 3
Importance of Meta-analysis in Studies Involving Plant Responses to Climate Change in Brazil
Fortirer, J. D. S., Grandis, A., Castanho, C. D. T., & Buckeridge, M. S. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-65775-8_21 · Cited by 3
Does a meta-analysis including multiple observations from a single study site properly synthesize data? Comments on “Meta-analyses of the effects of major global change drivers on soil respiration across China” by Feng et al. (2017)
Mori, T. (2017) · Atmospheric Environment · doi:10.1016/j.atmosenv.2017.10.006 · Cited by 3
COVID-19: Where is the treatment?
Bonala, S., Sarojamma, V., Vadde, R., & Nagaraju, G. P. (2021) · World Journal of Clinical Oncology · doi:10.5306/wjco.v12.i5.309 · Cited by 3
Global heterogeneity of latitudinal patterns in herbivory between native and exotic plantsPreprint
Guo, Y., Parepa, M., Wang, H., Wang, M., Wu, J., Li, B., Ju, R., & Bossdorf, O. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.24.576872 · Cited by 3
Defensive symbionts provide high protection against natural enemies at low cost to hosts: a meta-analysisPreprint
César, C. S., Santos, E. S. A., & Cogni, R. (2024) · eLife · doi:10.7554/elife.100079.1 · Cited by 3
Changes of blood cholinesterase activities among pesticides-exposed agricultural workers in Iraq: A meta-analysis
MOHAMMAD, F. K., Mohammed, A. A., & Odisho, S. K. (2024) · Toxicology Reports · doi:10.1016/j.toxrep.2024.101830 · Cited by 2
Occurrence and Driving Mechanism of Microplastics in River-connected Lake of the Mid-lower Yangtze River Basin
Ry, N., Wang, H., Phal, S., Xu, H., Zeng, Y., & Wu, Y. (2025) · Water Air & Soil Pollution · doi:10.1007/s11270-025-07887-2 · Cited by 2
Signaling defenses with color: a meta‐analysis of leaf color variation, palatability, and herbivore damage
Cornelissen, T., Silveira, F. A. O., Gomes, S. V., López‐Goldar, X., Martin-Eberhardt, S. A., & Wetzel, W. C. (2025) · New Phytologist · doi:10.1111/nph.70243 · Cited by 2
Effects of Recreational Football on Body Composition and Cardiometabolic Health in Overweight or Obese Individuals: A Systematic Review and Meta-Analysis
Li, S., Li, H., Wang, B., Zeng, Z., Zhang, R., Yan, H., Zhou, A., Xie, Y., & Zhou, C. (2025) · Life · doi:10.3390/life15081276 · Cited by 3
How Environment Affects Ontogenetic Differences in Leaf Functional Traits of Woody Plants
Zhang, Z., Hikosaka, K., Niinemets, Ü., Han, Q., Cavender-Bares, J. M., Zheng, L., He, D., Yan, E., Han, M., Jin, G., et al. (2025) · Global Ecology and Biogeography · doi:10.1111/geb.70133 · Cited by 2
Meta-analysis reveals that grain quality is improved in ratoon season crop compared with main crop
Yang, X., Ruan, Z., Chen, K., Gu, S., Wang, Y., Cai, Q., Yao, L.-A., Boorboori, M. R., Yasir, A., Chaiwanon, J., et al. (2025) · Frontiers in Plant Science · doi:10.3389/fpls.2025.1604686 · Cited by 3
Temperature Variability Has Limited Effects on Phenotypic Plasticity in Ectotherms—A Meta‐Analysis
Stocker, C. W., Bamford, S. M., Jahn, M., Mazué, G. P. F., Pettersen, A. K., Ritchie, D., Rubin, A. M., Noble, D. W. A., & Seebacher, F. (2025) · Ecology Letters · doi:10.1111/ele.70258 · Cited by 2
Self-citation
Integrated assessment of productivity, economic and environmental consequences of alternative cropping systems in the North China Plain
Liu, X., Ma, J., Fan, Z., Li, Z., Wang, T., Sun, M., Du, R., Huang, X., Zhen, W., & Wang, Y. (2026) · Farming System · doi:10.1016/j.farsys.2026.100215 · Cited by 2
The effects of yoga exercise on stress relief capacity and emotional changes: a systematic review and meta-analysis
Mu, X., Xu, K., Wang, X., Sun, Y., Wen, D., & Dong, D. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1707131 · Cited by 3
Does transcranial direct current stimulation enhance sensorimotor recovery in chronic ankle instability? A systematic review and meta-analysis
Zeng, Z., Xu, Z., Shen, B., Liang, X., Zong, X., Luo, J., Zhou, J., & Fu, W. (2026) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-026-01916-9 · Cited by 2
Can Exercise Alleviate Drug Craving by Enhancing Inhibitory Control? A Systematic Review and Meta-analysis
Yang, Y., Gui, Z., Yan, H., Wang, K., Wu, C., Zhang, T., & Luo, J. (2026) · Current Addiction Reports · doi:10.1007/s40429-026-00722-6 · Cited by 2
The effects of field-based repeatedsprint training on physical performance in soccer players: a systematic review and multilevel meta-analysis
Chen, A., Zhuang, M., Huang, Z., Zhao, L., & Wang, L. (2026) · Frontiers in Physiology · doi:10.3389/fphys.2026.1745959 · Cited by 2
A Comprehensive Meta-Analytic Review of the Neurophysiological Properties of the Heartbeat Evoked Potential in Health and Disease
Wilkinson, E. M., Jones, H. G., Kohler, M. J., Khalsa, S. S., Moseley, G. L., & Berryman, C. F. (2026) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2026.04.012 · Cited by 2
Biofabrication of Vascularized Tissues
Schimelman, J. B., Sun, Y., Lyu, C., Lu, T.-Y., Yao, E. J., Huang, L., Altera, A. K., Xiang, Y., & Chen, S. (2026) · Chemical Reviews · doi:10.1021/acs.chemrev.5c00914 · Cited by 2
Exercise-induced fatigue and soccer kicking performance: a systematic review and meta-analysis of performance outcomes and contextual moderators
Peng, W., Zhang, Y., Wang, D., Sarmento, H., Vilas-Boas, J. P., & Ribeiro, J. (2026) · Frontiers in Physiology · doi:10.3389/fphys.2026.1818415 · Cited by 3
Contribuições das plantas para comunidades locais e tradicionais no Delta do Parnaíba, Brasil: uma revisão
Ferreira, L. S. D. S., Pimentel, R. M. D. M., Lemos, J. R., & de Andrade, I. M. (2024) · Hoehnea · doi:10.1590/2236-8906e192022 · Cited by 2
Association between central serous chorioretinopathy and Helicobacter pylori infection: a systematic review and Meta-analysis
Wu, D., Ge, G., & Zhang, M. (2024) · International Journal of Ophthalmology · doi:10.18240/ijo.2024.06.18 · Cited by 2
Combined Analysis of Multi-Study miRNA and mRNA Expression Data Shows Overlap of Selected miRNAs Involved in West Nile Virus Infections
Böge, F. L., Ruff, S., Kumar, S. H., Selle, M., Becker, S. C., & Jung, K. (2024) · Genes · doi:10.3390/genes15081030 · Cited by 2
A Current Knowledge Gap and Documented Patterns in Body Temperature, Food Consumption, Daily Activity, and Growth Rate in Lizards
Litmer, A. R. (2024) · Ichthyology & Herpetology · doi:10.1643/h2023078 · Cited by 2
Epidemiological criteria for causation applied to human health harms from RF-EMF exposure: Bradford Hill revisited
Frank, J. W. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1559868 · Cited by 3
Factors Affecting Students’ Acceptance of Gamified Learning (SAGL)
Randle, O. (2024) · Studies in Learning and Teaching · doi:10.46627/silet.v5i3.431 · Cited by 2
How to Interpret and Evaluate a Meta-Analysis in the Field of Speech-Language Pathology: A Tutorial for Clinicians
Donohue, C., Carnaby, G., & Garand, K. L. (2022) · American Journal of Speech-Language Pathology · doi:10.1044/2021_ajslp-21-00267 · Cited by 2
Principles of Meta-Analysis
Dekkers, R., Carey, L., & Langhorne, P. (2022) · Springer eBooks · doi:10.1007/978-3-030-90025-0_7 · Cited by 2
A comparative analysis testing Werner's theory of complex life cycles
Richardson, E. L., White, C. R., & Marshall, D. J. (2022) · Functional Ecology · doi:10.1111/1365-2435.14086 · Cited by 2
Meta-analysis challenges a textbook example of status signalling: evidence for publication biasPreprint
Sánchez‐Tójar, A., Nakagawa, S., Sánchez-Fortún, M., Martin, D. A., Ramani, S., Girndt, A., Bókony, V., Kempenaers, B., Liker, A., Westneat, D. F., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/283150 · Cited by 2
Self-citation
The Genetic Variants of HLA-DRB1 Alleles and the Chance of Developing Rheumatoid Arthritis: Systematic Review and meta-analysisPreprint
Mengesha, B. A., Lin, N., & Huang, J. H. (2021) · Research Square · doi:10.21203/rs.3.rs-820498/v1 · Cited by 2
A Systematic Review and Quantitative Meta-Analysis of the Relationships between Driving Forces and Cyanobacterial Blooms at Global ScalePreprint
Wang, S., zhang, X., Chen, N., Tian, L., Zhang, Y., & Nam, W. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4058807 · Cited by 2
VDR gene Apa I polymorphism and risk of postmenopausal osteoporosis: a meta-analysis from 22 studies
Wang, B., Li, H., Yang, C., Nie, R., Zhang, X., & Pu, C. (2023) · Climacteric · doi:10.1080/13697137.2023.2233421 · Cited by 1
Methodological and Practical Challenges in Synthesizing Occupational Cancer Studies
Ahn, S., McClure, L. A., Pinheiro, P. S., Hernandez, D. R., Boga, D. J., Ukani, H., Chavez, J. V., Fernandez, J. A. Q., Caban-Martinez, A. J., Kobetz, E. N., et al. (2024) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph21060742 · Cited by 1
Seasonal dynamics of Amblyomma ticks in South America: A meta-analytical approach
do Nascimento, R. M., Macedo‐Rego, R. C., Maturano, R., & Famadas, K. M. (2025) · Acta Tropica · doi:10.1016/j.actatropica.2025.107552 · Cited by 1
Building a more predictive model of terroir for the Anthropocene
Wolkovich, E. M., Rouleau‐Desrochers, C., Atauri, I. G. D. C., Walker, M. A., & Lacombe, T. (2025) · Plants People Planet · doi:10.1002/ppp3.70055 · Cited by 1
Uncovering barriers and paths for ensuring road mitigation to reduce wildlife collisions: Establishing grounds for action
Ribeiro, Y. G. G., Saito, E. N., Catapani, M. L., de Morais, R. B., Yogui, D. R., González, T. S., García, M. M., & Desbiez, A. L. J. (2025) · Conservation Science and Practice · doi:10.1111/csp2.70124 · Cited by 1
Top‐down control of plant communities by consumers
Jiang, H., Ke, J., Zhang, P., Dang, Y., & Liu, X. (2025) · Journal of Ecology · doi:10.1111/1365-2745.70145 · Cited by 1
Tai Chi Exercise and Bone Health in Women at Perimenopausal and Postmenopausal Stages: A Systematic Review and Meta-Analysis
Yin, W., Zeng, Z., Yin, W., Xi, L., Wu, D., & Qiao, F. (2025) · Life · doi:10.3390/life15111678 · Cited by 1
Exploring the optimal nitrogen threshold for global grassland restoration
Zhang, Q., Chen, F., Luo, Z., Fan, J., Zhu, Y., Ma, J., Yang, Y., Long, X.-E., Gonzalez-Ollauri, A., Gan, M., et al. (2025) · Geography and sustainability · doi:10.1016/j.geosus.2025.100396 · Cited by 1
Dose-response relationships of sand training compared to other surface training in improving change of direction and jump performance: a systematic review and meta-analysis
Wang, T., Zhai, H., Yan, H., Zhou, Y., Li, Z., Wei, H., & Geng, Q. (2026) · Frontiers in Physiology · doi:10.3389/fphys.2025.1737074 · Cited by 1
Effects of exhaustive and/or strenuous exercise on aging-related molecular and physiological biomarkers: a systematic review and meta-analysis
Bao, Z., Liu, Y. H., Zhao, M., Li, Z., Wang, H., Shi, C., Wang, X., & Wang, S. (2026) · Biogerontology · doi:10.1007/s10522-026-10411-6 · Cited by 1
Effects of Physical Activity on Core Symptoms, Executive Functions, and Sleep in Children and Adolescents with ADHD: A Systematic Review and Three-level Meta-analysis of Randomized Controlled Trials
Dai, X., Shen, H., Guan, Y., & Bao, J. (2026) · Adolescent Research Review · doi:10.1007/s40894-026-00282-w · Cited by 1
Effects of neuromuscular warm-up on athletes’ change-of-direction performance and knee isokinetic muscle strength: a systematic review and meta-analysis
Zhu, C., Lu, Y., Tao, M., Yin, T., Li, J., Thompson, S. W., & Gu, N. (2026) · Frontiers in Physiology · doi:10.3389/fphys.2026.1750821 · Cited by 1
Impact of resistance training frequency on physiological and performance adaptations: A systematic review and meta-analysis
Tao, M., Yin, M., Zhong, Y., Xu, K., Zhu, C., Deng, J., Song, Y., Lyu, M., Chen, Z., Nassis, G. P., et al. (2026) · International Journal of Sports Science & Coaching · doi:10.1177/17479541261428779 · Cited by 1
Can resistance training alone or resistance training combined with aerobic training improve arterial stiffness, endothelial function, and other vascular function indicators in adults with hypertension or overweight/obesity-related vascular risk? A systematic review and meta-analysis of randomized controlled trials
Wang, Y., Lin, Z., Zhu, J., Gao, W., Li, Z., Li, X. J., & Li, M. (2026) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2026.1835366 · Cited by 2
Effects of exercise on reproductive endocrine hormones in adult patients with polycystic ovary syndrome: a systematic review and three-level meta-analysis
Chen, X., Liu, Y., Chen, D., & Chen, L. (2026) · PeerJ · doi:10.7717/peerj.21507 · Cited by 1
A structured literature review of computer vision methods for insect identification
Cheerkoot-Jalim, S., Simon-Chane, C., Cadersaib, Z., Mungloo-Dilmohamud, Z., Histace, A., Khedo, K. K., Nagowah, L., & Séréno, D. (2026) · Journal of Insect Science · doi:10.1093/jisesa/ieag050 · Cited by 1
تأثيرات مضاد الهستامين الدايفنهايدرامين في السمية الحادة لمبيدات الحشرات الفوسفورية العضوية والكارباميتية لمختلف الدراسات على الحيوانات: تحليل ميتا
محمد, ف. ق., محمد, ع. أ., رشيد, ح. م., & صالح, ه. م. (2023) · Arabian Journal of Scientific Research-المجلة العربية للبحث العلمي · doi:10.5339/ajsr.2023.1 · Cited by 1
Wearable cuffless blood pressure monitoring devices: a commentary
Mbeta, E., McDowell, G., West, J., Hill, J. E., & Sankaranarayanan, R. (2024) · British Journal of Community Nursing · doi:10.12968/bjcn.2024.0022 · Cited by 1
A meta-analysis of changes in cholinesterase activity among experimental animals infected with Toxoplasma gondii
MOHAMMAD, F. K., Eassa, S., & Abdullah, R. M. (2025) · BULGARIAN JOURNAL OF VETERINARY MEDICINE · doi:10.15547/bjvm.2024-0024 · Cited by 1
Analyzing invasive species impacts
Crystal‐Ornelas, R. (2019) · doi:10.7282/t3-9qca-x929 · Cited by 1
Facilitation and competition in coastal dunes: meta-analysis of determinants of plant interactions
Souza, L. C. D. C. (2018) · doi:10.11606/d.41.2018.tde-22102018-145200 · Cited by 1
Hail the polygenic republic: Critical review of Plomin, R. (2018). Blueprint: How DNA makes us who we are. Cambridge, MA: MIT Press
Richardson, K., & Joseph, J. (2019) · British Journal of Psychology · doi:10.1111/bjop.12422 · Cited by 1
Opportunities during challenging times: comparative studies using meta-analytic approaches and new grants to help early-career researchers
Franklin, C. E., & Hoppeler, H. H. (2020) · Journal of Experimental Biology · doi:10.1242/jeb.229294 · Cited by 1
Applying Machine Learning to Increase Efficiency and Accuracy of Meta-Analytic ReviewPreprint
Gorelik, A. J., Gorelik, M. G., Ridout, K. K., Nimarko, A. F., Peisch, V. D., Kuramkote, S. R., Low, M., Pan, T., Singh, S., Nrusimha, A., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.06.314245 · Cited by 1
Quando e como ocorrem episódios de seleção sexual em espécies animais? Uma investigação meta-analítica
Rego, R. C. D. M. (2020) · doi:10.11606/t.41.2020.tde-30112020-101600 · Cited by 1
Measuring communicative complexity across modalities: a new framework in the context of the “social complexity hypothesis” and its application in true lemurs
Peckre, L. R. (2021) · doi:10.53846/goediss-8503 · Cited by 1
Redes de interacción entre murciélagos frugívoros y plantas quiropterócoras en un paisaje rural cafetero
Castaño, J. H. (2020) · doi:10.11144/javeriana.10554.36774 · Cited by 1
Developmental environments do not affect thermal physiology in reptiles: An experimental test and meta-analysisPreprint
Zhang, R., Wild, K. H., Pottier, P., Carrasco, M. I., Nakagawa, S., & Noble, D. W. A. (2023) · doi:10.32942/x2jp40 · Cited by 1
Self-citation
Land use change drives major loss of Southeast Asian biodiversityPreprint
Botterill‐James, T., Yates, L. A., Buettel, J. C., Aandahl, Z., & Brook, B. W. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.08.552370 · Cited by 1
Synthesis of sexual selection: a systematic map of meta-analyses with bibliometric analysisPreprint
Pollo, P., Lagisz, M., Yang, Y., Čulina, A., & Nakagawa, S. (2023) · doi:10.32942/x29s3g · Cited by 1
Self-citation
What are the impacts of Spartina alterniflora invasion on intertidal macrobenthic communities? A global meta-analysisPreprint
Hu, W., Wu, D., Wang, Z., An, S., & Lu, C. (2024) · doi:10.3897/arphapreprints.e126577 · Cited by 1
Carbohydrate Mouthwashes Enhance Exercise and Cognitive Performance under Fed Conditions: A Systematic Review and Meta-Analysis of Randomized Controlled TrialsPreprint
Deng, H., Fan, X., Liu, P., Song, T., Fuaad, A. A. H. A., Nasiruddin, N. J. M., & Naharudin, M. N. (2025) · Research Square · doi:10.21203/rs.3.rs-6298483/v1 · Cited by 1
Assessing biodiversity in farming landscapes: a cross-taxonomic approach to conservation planning
Yong, D. (2017) · ANU Open Research (Australian National University) · doi:10.25911/5d6cfa184be49
Quantifying evolution in wild populations
Ramakers, J. J. C. (2019) · doi:10.18174/472942
Uncovering the Drivers of Non-Native Plant Invasions Using Ecological Data Synthesis
Golivets, M. (2019) · ScholarWorks -A service of University of Vermont Libraries (University of Vermont) · doi:10.13140/rg.2.2.23468.39047
Medición de la calidad de la prescripción de medicamentos y el problema de la prevención de las prescripciones inapropiadas: Una revisión (Pharmaceutical Prescription Quality Measurement and the Problem of the Prevention of Inappropriate Prescriptions: A Review)Preprint
Ponce, M. F. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3187620
The evolution of social dominance in house sparrows
Sánchez‐Tójar, A. (2018) · KOPS (University of Konstanz)
The analysis of data from on-farm research network: Statistical approaches to test the efficacy of management practices and data visualization
Laurent, A. (2020) · doi:10.31274/etd-20210609-97
Recent SIV-Macaque Trials: A Reassessment of Immune Priming and Varying Infectability in Repeated Low-dose Challenge StudiesPreprint
Spouge, J. L. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.28.454270
Males are more sensitive to their audience than females when scent-marking in the redfronted lemurPreprint
Peckre, L. R., Michiels, A., Socias‐Martínez, L., Kappeler, P. M., & Fichtel, C. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.02.458772
Meta-análise do efeito da elevada concentração de CO2 atmosférico em espécies neotropicais
Fortirer, J. D. S. (2021) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.95.2021.tde-27122021-133645
Are DMI+QoI premixes applied during flowering worth for protecting wheat yields from Fusarium head blight? A meta-analysisPreprint
Barro, J. P., Santana, F. M., Machado, F. J., Duffeck, M. R., Lau, D., Sbalcheiro, C. C., Schipanski, C. A., Chagas, D. F., Venâncio, W. S., Dallagnol, L. J., et al. (2020) · doi:10.31219/osf.io/svzwy
Vitamin D receptor gene ApaI polymorphism and susceptibility to osteoporosis in postmenopausal women: A meta-analysis from 22 Studies. Running title: VDR ApaI gene polymorphism and OsteoporosisPreprint
Wang, B., Zhang, X., Chu, L., Yang, C., & Nie, R. (2022) · Research Square · doi:10.21203/rs.3.rs-1664796/v1
Spatial Variation in Forest Soil Respiration: A Systematic Review of Field Observations at the Global ScalePreprint
Cai, Y., Sawada, K., & Hirota, M. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4182816 · Cited by 13
A methodological commentary on Wang’s article: “Predictors of acute compartment syndrome in patients with tibial fractures”
Zhang, H., & Hu, H. (2023) · International Orthopaedics · doi:10.1007/s00264-023-05741-w
Assessing the ecological impacts of invasive plants in Neotropical forests through evidence synthesis
Jacob, I. N. (2023) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.11.2023.tde-11042023-090945
Fatores determinantes da variação espacial na densidade populacional da jaguatirica Leopardus pardalis (Carnivora: Felidae) - da escala continental para a local
Concone, H. V. B. (2023) · doi:10.11606/t.91.2023.tde-05052023-170754
Correlation between LTC4S -444 A>C polymorphism and susceptibility to asthma: A meta-analysis and trial sequential analysis
Wu, D., Liu, Y., Liu, Y., Cui, N., Zhu, Y., Zheng, S., & Wang, S. (2023) · Journal of Medical Biochemistry · doi:10.5937/jomb0-44538
Sixty years since Silent Spring: a map of meta-analyses on organochlorine pesticides reveals urgent needs for improving methodological quality.Preprint
Morrison, K., Yang, Y., Ricolfi, L., Williams, C., Lagisz, M., & Nakagawa, S. (2024) · doi:10.32942/x2js6s
Self-citation
Defensive symbionts provide high protection against natural enemies at low cost to hosts: a meta-analysisPreprint
César, C. S., Santos, E. S. A., & Cogni, R. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.05.622061

Authors: Nakagawa, S., Noble, D. W. A., Senior, A. M., & Lagisz, M.
Affiliations: Garvan Institute of Medical Research (AU)
UNSW Sydney (AU)
The University of Sydney (AU)
Corresponding author: Nakagawa, Shinichi
ORCID: Nakagawa, Shinichi
Noble, Daniel W. A.
Senior, Alistair M.
Lagisz, Malgorzata
Venue: BMC Biology
Publisher: Springer Science and Business Media LLC
Published: 2017-03-03
Volume: 15
Issue: 1
Pages: 18-18
ISSN: 1741-7007 (ISSN-L)
DOI: 10.1186/s12915-017-0357-7
PMC: PMC5336618
OpenAlex: W2593372779
Cited by: 579
References: 111
Citations by year: 2026: 84 · 2025: 74 · 2024: 71 · 2023: 66 · 2022: 77 · 2021: 50 · 2020: 64 · 2019: 44 · 2018: 37 · 2017: 12
FWCI: 10.65
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
Locations: BMC Biology (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
UNSWorks (University of New South Wales, Sydney, Australia) (submittedVersion, cc-by-nc-nd)
Funders: University of New South Wales
University of Sydney
Australian Research Council (DE150101774, FT130100268)
Topics: Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
Keywords: meta-evaluation, meta-analysis quality, critical appraisal, non-human species
MeSH terms: Documentation, Humans, Models, Theoretical, Publications, Meta-Analysis as Topic, Publication Bias, Knowledge

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Meta-evaluation of meta-analysis: ten appraisal questions for biologists

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks