The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
How to perform a meta-analysis with R: a practical tutorial
Open accessAbstract
OBJECTIVE: Meta-analysis is of fundamental importance to obtain an unbiased assessment of the available evidence. In general, the use of meta-analysis has been increasing over the last three decades with mental health as a major research topic. It is then essential to well understand its methodology and interpret its results. In this publication, we describe how to perform a meta-analysis with the freely available statistical software environment R, using a working example taken from the field of mental health. METHODS: R package meta is used to conduct standard meta-analysis. Sensitivity analyses for missing binary outcome data and potential selection bias are conducted with R package metasens. All essential R commands are provided and clearly described to conduct and report analyses. RESULTS: The working example considers a binary outcome: we show how to conduct a fixed effect and random effects meta-analysis and subgroup analysis, produce a forest and funnel plot and to test and adjust for funnel plot asymmetry. All these steps work similar for other outcome types. CONCLUSIONS: R represents a powerful and flexible tool to conduct meta-analyses. This publication gives a brief glimpse into the topic and provides directions to more advanced meta-analysis methods available in R.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Amongst the major modifiable risk factors of stillbirths, risk attributed to malaria is approximately 8% which can be prevented if exposure minimized [30].”
From Malaria in pregnancy: Meta-analyses of prevalence and associated complications (2024) · cites this paper as [30]
Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
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
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009) · doi:10.1002/9780470743386 · Cited by 14,225
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021) · doi:10.1002/9781119558378 · Cited by 9,799
Sterne, J. A. C., Sutton, A. J., Ioannidis, J. P. A., Terrin, N., Jones, D. R., Lau, J., Carpenter, J., Rucker, G., Harbord, R. M., Schmid, C. H., et al. (2011) · BMJ · doi:10.1136/bmj.d4002 · Cited by 7,709
Self-citationFeature Selection with the Boruta Package
Kursa, M. B., & Rudnicki, W. R. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i11 · Cited by 5,659
A Nonparametric “Trim and Fill” Method of Accounting for Publication Bias in Meta-Analysis
Duval, S., & Tweedie, R. (2000) · Journal of the American Statistical Association · doi:10.1080/01621459.2000.10473905 · Cited by 2,955
A Re-Evaluation of Random-Effects Meta-Analysis
Higgins, J. P. T., Thompson, S. G., & Spiegelhalter, D. J. (2009) · Journal of the Royal Statistical Society Series A: Statistics in Society · doi:10.1111/j.1467-985x.2008.00552.x · Cited by 2,569
Publication Bias in Meta‐Analysis: Prevention, Assessment and Adjustments
(2005) · doi:10.1002/0470870168 · Cited by 2,368
Publication and related bias in meta-analysis
Sterne, J. A. C., Gavaghan, D., & Egger, M. (2000) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(00)00242-0 · Cited by 2,282
Research works printed but not linked: 1
- Schwarzer, 2007, meta: an R package for meta-analysis, R News, 7, 40
Cited by
Sorted by citations
Items 801–900 of 1,039
Wigby, K. M., Brockman, D., Costain, G., Hale, C. L., Taylor, S. L., Belmont, J. W., Bick, D. P., Dimmock, D., Fernbach, S. D., Greally, J. M., et al. (2024) · npj Genomic Medicine · doi:10.1038/s41525-024-00396-x · Cited by 38
Ashour, L. (2024) · Research in Statistics · doi:10.1080/27684520.2024.2322630 · Cited by 40
Čihařová, M., Karyotaki, E., Miguel, C., Walsh, E., de Ponti, N., Amarnath, A., van Ballegooijen, W., Riper, H. M., Arroll, B., & Cuijpers, P. J. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.05.070 · Cited by 36
Bödding, R., Schriek, S. A., & Maier, G. W. (2025) · Virtual Reality · doi:10.1007/s10055-025-01118-z · Cited by 61
Visser, H. S. D., Waraich, S., Chhabra, M., Yamamoto, J. M., Zenlea, I. S., Askin, N., Rabbani, R., McGavock, J., TEAM Trial Patient Coresearchers, Greenberg, D. T., et al. (2025) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2025.2740 · Cited by 39
A meta-analysis of the correlations among broad intelligences: Understanding their relations
Bryan, V. M., & Mayer, J. D. (2020) · Intelligence · doi:10.1016/j.intell.2020.101469 · Cited by 43
Young, D. M., Sanchez, D. T., Pauker, K., & Gaither, S. E. (2020) · Personality and Social Psychology Bulletin · doi:10.1177/0146167220941321 · Cited by 40
Total body water in full-term and preterm newborns: systematic review and meta-analysis
Young, A., Brown, L. K., Ennis, S., Beattie, R. M., & Johnson, M. J. (2021) · Archives of Disease in Childhood Fetal & Neonatal · doi:10.1136/archdischild-2020-321112 · Cited by 35
Słomko, J., Zalewska, M., Niemiro, W., Kujawski, S., Słupski, M., Januszko‐Giergielewicz, B., Zawadka‐Kunikowska, M., Newton, J. L., Hodges, L. D., Kubica, J., et al. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10081659 · Cited by 35
Servadio, J. L., Muñoz‐Zanzi, C., & Convertino, M. (2021) · BMC Infectious Diseases · doi:10.1186/s12879-021-06535-4 · Cited by 34
Aydin, M., Dovern, E., Leeflang, M., de la Fuente, J., Kassim, A. A., Biemond, B. J., & Nur, E. (2021) · Transplantation and Cellular Therapy · doi:10.1016/j.jtct.2021.09.009 · Cited by 35
Khan, S. A., Campbell, A., Lu, Y., An, L., Alpert, J. S., & Chen, Q. M. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.752939 · Cited by 35
Development of Cancer Among Patients With Pediatric-Onset Inflammatory Bowel Disease
Elmahdi, R., Lemser, C. E., Thomsen, S. B., Allin, K. H., Agrawal, M., & Jess, T. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.0595 · Cited by 35
Sanden, S. V., Murton, M., Bobrowska, A., Rahhali, N., Sermon, J., Rodrigues, B., Goff-Leggett, D., CHOUAID, C., Sebastian, M., & Greystoke, A. (2022) · Targeted Oncology · doi:10.1007/s11523-022-00868-z · Cited by 37
Chelation Therapy in Patients With Cardiovascular Disease: A Systematic Review
Ravalli, F., Parada, X. V., Ujueta, F., Pinotti, R., Anstrom, K. J., Lamas, G. A., & Navas‐Acien, A. (2022) · Journal of the American Heart Association · doi:10.1161/jaha.121.024648 · Cited by 35
Elgenidy, A., Amin, M. A., Awad, A. K., Husain‐Syed, F., & Aly, M. G. (2022) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2022.04.004 · Cited by 35
Coenzyme Q10 and Dementia: A Systematic Review
Jiménez‐Jiménez, F. J., Alonso‐Navarro, H., García‐Martín, E., & Agúndez, J. A. G. (2023) · Antioxidants · doi:10.3390/antiox12020533 · Cited by 35
Rømer, T. B., Jeppesen, R., Christensen, R. H. B., & Benros, M. E. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02059-2 · Cited by 33
Schlürmann, T., Waschulzik, B., Combs, S. E., Gempt, J., Wiestler, B., Weber, W., & Yakushev, I. Y. (2022) · Journal of Nuclear Medicine · doi:10.2967/jnumed.122.264803 · Cited by 34
Furukawa, Y., Luo, Y., Funada, S., Ōnishi, A., Ostinelli, E. G., Hamza, T., Furukawa, T. A., & Kataoka, Y. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-061023 · Cited by 34
Brueckle, M.-S., Thomas, E. T., Seide, S., Pilz, M., González‐González, A. I., Dinh, T. S., Gerlach, F. M., Harder, S., Glasziou, P., & Muth, C. (2023) · PLoS ONE · doi:10.1371/journal.pone.0284168 · Cited by 52
Emotional Granularity is Associated with Daily Experiential Diversity
Hoemann, K., Lee, Y., Kuppens, P., Gendron, M., & Boyd, R. L. (2023) · Affective Science · doi:10.1007/s42761-023-00185-2 · Cited by 39
Shah, H. M. S., Singh, Z., Afrifa‐Yamoah, E., Hasan, M. U., Kaur, J., & Woodward, A. J. (2023) · Food Reviews International · doi:10.1080/87559129.2023.2212042 · Cited by 34
Effects of Vitamin D Supplementation on Cognitive Outcomes: A Systematic Review and Meta-Analysis
Chen, W., Cheng, Y., Chiu, C., Liu, H., Huang, M., Tu, Y., & Kuo, P. (2023) · Neuropsychology Review · doi:10.1007/s11065-023-09598-z · Cited by 34
Alnaimat, S., Doyle, M., Krishnan, K., & Biederman, R. W. (2023) · Heart Rhythm · doi:10.1016/j.hrthm.2023.07.064 · Cited by 34
Cui, X., Hou, D., Tang, Y., Liu, M., Qie, H., Qian, T., Xu, R., Lin, A., & Xu, X. S. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.165873 · Cited by 34
Spaur, M., Glabonjat, R. A., Schilling, K., Lombard, M. A., Gálvez-Fernández, M., Lieberman‐Cribbin, W., Hayek, C., Ilievski, V., Balac, O., Izuchukwu, C., et al. (2023) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/s41370-023-00586-2 · Cited by 34
Does differentiated instruction affect learning outcome Systematic review and meta-analysis
Asriadi, M., Hadi, S., Istiyono, E., & Retnawati, H. (2023) · Journal of Pedagogical Research · doi:10.33902/jpr.202322021 · Cited by 83
Leston, M., Elson, W., Ordóñez-Mena, J. M., Kar, D., Whitaker, H., Joy, M., Roberts, N. W., Hobbs, R. F., & de Lusignan, S. (2024) · Journal of Infection · doi:10.1016/j.jinf.2024.01.009 · Cited by 34
Kommu, S., & Berg, R. L. (2024) · Obesity Reviews · doi:10.1111/obr.13792 · Cited by 42
Cell-type specific epigenetic clocks to quantify biological age at cell-type resolution
Tong, H., Guo, X., Jacques, M., Luo, Q., Eynon, N., & Teschendorff, A. E. (2024) · Aging · doi:10.18632/aging.206184 · Cited by 41
Park, H. J., Park, J., Kim, S., Choi, S.-Y., Kim, H.-K., Jung, C., Yang, M., Kang, D. Y., Cho, M., Kwon, H., et al. (2020) · Expert Opinion on Drug Safety · doi:10.1080/14740338.2020.1796965 · Cited by 34
Karakonstantis, S., & Kritsotakis, E. I. (2021) · Infection · doi:10.1007/s15010-021-01663-0 · Cited by 34
CT-derived epicardial adipose tissue density: Systematic review and meta-analysis
Monti, C. B., Capra, D., Zanardo, M., Guarnieri, G., Schiaffino, S., Secchi, F., & Sardanelli, F. (2021) · European Journal of Radiology · doi:10.1016/j.ejrad.2021.109902 · Cited by 34
Kouz, K., Bergholz, A., Timmermann, L. M., Brockmann, L., Flick, M., Hoppe, P., Briesenick, L., Schulte‐Uentrop, L., Krause, L., Maheshwari, K. K., et al. (2021) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000005805 · Cited by 34
BCAT1: A risk factor in multiple cancers based on a pan‐cancer analysis
Li, G., Huang, H., Liang, Y., Pang, Q., Sun, H., Huang, Z., Dang, Y., Yang, L., & Chen, G. (2022) · Cancer Medicine · doi:10.1002/cam4.4525 · Cited by 35
Burvenich, R., Dillen, H., Trinh, N. T., Freer, J., Wynants, L., Heytens, S., Sutter, A. D., & Verbakel, J. Y. J. (2022) · Archives of Disease in Childhood · doi:10.1136/archdischild-2022-324227 · Cited by 34
Neoadjuvant immunotherapy and chemoimmunotherapy for stage II-III muscle invasive bladder cancer
Chen, H., Yang, W., Xue, X., Li, Y., Jin, Z., & Ji, Z. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.986359 · Cited by 34
Couto, P. S., Al-Arawe, N., Filgueiras, I. S., Fonseca, D. L. M., Hinterseher, I., Catar, R. A., Chinnadurai, R., Bersenev, A., Cabral-Marques, O., Moll, G., et al. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1200180 · Cited by 35
Snapshots of daily life: Situations investigated through the lens of smartphone sensing.
Schoedel, R., Kunz, F., Bergmann, M., Bemmann, F., Bühner, M., & Sust, L. N. N. (2023) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000469 · Cited by 37
Global COVID-19 vaccine acceptance level and its determinants: an umbrella review
Abate, B. B., Tilahun, B. D., & Yayeh, B. M. (2024) · BMC Public Health · doi:10.1186/s12889-023-17497-4 · Cited by 39
A systematic review of one-legged balance performance and falls risk in community-dwelling adults
Blodgett, J. M., Ventre, J. P., Mills, R., Hardy, R., & Cooper, R. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101501 · Cited by 35
Schütz, J., & Koglin, U. (2022) · Current Psychology · doi:10.1007/s12144-022-03226-4 · Cited by 51
Zuidema, R., RIET, C. V. D., Moumni, M. E., Schuurmann, R. C. L., Ünlü, Ç., & de Vries, J. P. P. M. (2022) · European Journal of Vascular and Endovascular Surgery · doi:10.1016/j.ejvs.2022.08.017 · Cited by 33
Johnson, C. T., Tran, A., Preslar, J., Bussey‐Jones, J., & Schenker, M. L. (2022) · The American Surgeon · doi:10.1177/00031348221121561 · Cited by 33
Podbielski, I., Schmittmann, L., Sanders, T. B., & Melzner, F. (2022) · Frontiers in Marine Science · doi:10.3389/fmars.2022.934378 · Cited by 34
Hyperthyroidism and clinical depression: a systematic review and meta-analysis
Bode, H., Ivens, B., Bschor, T., Schwarzer, G., Henssler, J. F., & Baethge, C. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02121-7 · Cited by 57
Self-citationLópez, P., Rech, A., Πετροπούλου, Μ., Newton, R. U., Taaffe, D. R., Galvao, D. A., Turella, D. J. P., Freitas, S. R., & Radaelli, R. (2022) · The Journals of Gerontology Series A · doi:10.1093/gerona/glac230 · Cited by 37
Vesterling, C., Wilke, J., Bäker, N., Bolz, T., Eilts, J., Koglin, U., Rademacher, A., & Goagoses, N. (2023) · Health & Social Care in the Community · doi:10.1155/2023/6242678 · Cited by 43
Mundisugih, J., Franke, K. B., Tully, P. J., Munawar, D. A., Kumar, S., & Mahajan, R. (2023) · Heart Lung and Circulation · doi:10.1016/j.hlc.2023.02.009 · Cited by 33
Porcari, S., Baunwall, S. M. D., Occhionero, A. S., Ingrosso, M. R., Ford, A. C., Hvas, C. L., Gasbarrini, A., Cammarota, G., & Ianiro, G. (2023) · Journal of Autoimmunity · doi:10.1016/j.jaut.2023.103036 · Cited by 33
Anand, V. V., Lee, E. C. Z., Chin, Y. H., Goh, R. S. J., Lin, C., Kueh, M. T. W., Chong, B., Kong, G., Tay, P. W. L., Dalakoti, M., et al. (2023) · International Journal of Cardiology · doi:10.1016/j.ijcard.2023.04.042 · Cited by 33
Liu, A., Akimova, E. T., Ding, X., Jukarainen, S., Vartiainen, P., Kiiskinen, T., Koskelainen, S., Havulinna, A. S., Gissler, M., Lombardi, S., et al. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01763-x · Cited by 31
Jones, C. H., Gray, S. H., Brown, M. D., Brown, J. E., McCloskey, E. V., Rai, B. P., Clarke, N. W., & Sachdeva, A. (2024) · European Urology Oncology · doi:10.1016/j.euo.2024.01.016 · Cited by 35
Kowalski, M., Obama, B. M., Catho, G., Dewez, J. E., Merglen, A., Ruef, M., Andrey, D. O., Hassoun‐Kheir, N., de Kraker, M. E. A., Combescure, C., et al. (2024) · EClinicalMedicine · doi:10.1016/j.eclinm.2024.102512 · Cited by 37
Bosshard, M., & Gomez, P. (2024) · Scientific Reports · doi:10.1038/s41598-024-58408-w · Cited by 34
Calder, C. N., Kwan, A. T. H., Teopiz, K. M., Wong, S., Rosenblat, J. D., Mansur, R. B., Rhee, T. G., Ho, R., Cao, B., & McIntyre, R. S. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.04.039 · Cited by 37
Palaiodimou, L., Stefanou, M., Katsanos, A. H., Marchis, G. M. D., de Sousa, D. A., Dawson, J., Mira, K., Karapanayiotides, T., Toutouzas, K. G., Paciaroni, M., et al. (2024) · European Stroke Journal · doi:10.1177/23969873241251931 · Cited by 33
Valizadeh, P., Jannatdoust, P., Pahlevan‐Fallahy, M., Hassankhani, A., Amoukhteh, M., Bagherieh, S., Ghadimi, D. J., & Gholamrezanezhad, A. (2024) · Neuroradiology · doi:10.1007/s00234-024-03485-x · Cited by 37
Nordon, C., Simons, S. O., Marshall, J., Müllerová, H., Pollack, M. F., Bengtsson, C., Hoti, F. J., Lobier, M., Salosensaari, A., SANTOS, A. C. D. S., et al. (2024) · ERJ Open Research · doi:10.1183/23120541.01091-2024 · Cited by 33
Nolting, I. K. L., Nexhmedin Morina, B., Hoppen, T. H., Tam, K., & Kip, A. (2025) · European Journal of Psychotraumatology · doi:10.1080/20008066.2025.2476809 · Cited by 38
Jiang, J., Ding, Y., Wu, M., Chen, Y., Lyu, X., Lü, J., Wang, H., & Teng, L. (2020) · Cancer Medicine · doi:10.1002/cam4.3481 · Cited by 34
Sulodexide for Diabetic-Induced Disabilities: A Systematic Review and Meta-Analysis
Bignamini, A. A., Chebil, A., Gambaro, G., & Matuška, J. (2021) · Advances in Therapy · doi:10.1007/s12325-021-01620-1 · Cited by 33
A case–control study in Taiwanese cohort and meta-analysis of serum ferritin in pancreatic cancer
Park, J. M., Mau, C.-Z., Chen, Y., Su, Y., Chen, H. A., Huang, S., Chang, J., & Chiu, C. (2021) · Scientific Reports · doi:10.1038/s41598-021-00650-7 · Cited by 33
Correlation between S100B and severity of depression in MDD: A meta-analysis
Tural, Ü., Irvin, M., & Iosifescu, D. V. (2021) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2021.2013042 · Cited by 33
The dorsal pancreatic artery: A meta-analysis with clinical correlations
Rousek, M., Whitley, A., Kachlík, D., Balko, J., Záruba, P., Belbl, M., Nikov, A., Ryska, M., Gürlich, R., & Pohnán, R. (2022) · Pancreatology · doi:10.1016/j.pan.2022.02.002 · Cited by 33
Adverse events after antipsychotic discontinuation: an individual participant data meta-analysis
Brandt, L., Schneider‐Thoma, J., Siafis, S., Efthimiou, O., Bermpohl, F., Loncar, L., Neumann, K., Hasan, A., Heinz, A., Leucht, S., et al. (2022) · The Lancet Psychiatry · doi:10.1016/s2215-0366(22)00014-1 · Cited by 35
Hu, N., Deng, H., Yang, H., Wang, C., Cui, Y., Chen, J., Wang, Y., He, S., Chai, J., Liu, F., et al. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.02.045 · Cited by 33
Wang, Y., Haskell‐Ramsay, C. F., Lara, J., & Lodge, J. K. (2022) · European Journal of Clinical Nutrition · doi:10.1038/s41430-022-01138-x · Cited by 35
Plata-Pérez, G., Ángeles-Hernández, J. C., Morales-Almaráz, E., del Razo-Rodríguez, O. E., López-González, F., Peláez-Acero, A., Campos-Montiel, R. G., Vargas‐Bello‐Pérez, E., & Vieyra-Alberto, R. (2022) · Animals · doi:10.3390/ani12131642 · Cited by 33
Wang, D., Ge, L., Guo, Z., Li, Y., Zhu, B., Wang, W., Wei, C., Li, Q., & Wang, Z. (2022) · Pharmaceuticals · doi:10.3390/ph15080956 · Cited by 34
Slade, L. J., Mistry, H. D., Bone, J. N., Wilson, M., Blackman, M., Syeda, N., von Dadelszen, P., & Magee, L. A. (2022) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2022.10.004 · Cited by 36
Velichkovsky, B. B., Razvaliaeva, A. Y., Khlebnikova, A. A., Manukyan, P. A., & Kasatkin, V. N. (2023) · Acta Psychologica · doi:10.1016/j.actpsy.2023.103838 · Cited by 40
Moon, A. M., Kim, H. P., Jiang, Y., Lupu, G. V., Bissram, J., Barritt, A. S., & Tapper, E. B. (2022) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000002008 · Cited by 33
Barthel, M.-C., Fricke, K., Muehlhan, M., Vogel, S., & Alexander, N. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105996 · Cited by 34
“…meta-analyses of single means for both overall habituation and subgroup analysis of individual categorical predictors, we employed the R package meta (Version 6.5; Balduzzi et al., 2019) to calculate an overall mean (based on untransformed means) using inverse variance weighting for pooling.”
InfluentialIzcovich, A., Peiris, S., Ragusa, M. A., Tortosa, F. G., Gabriel Rada, G., Aldighieri, S., & Revéiz, L. (2021) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2021.12.018 · Cited by 32
Rehfeld, D. M., Kirkpatrick, M., O’Guinn, N., & Renbarger, R. (2022) · Language Speech and Hearing Services in Schools · doi:10.1044/2022_lshss-21-00160 · Cited by 40
Exogenous nitric oxide promotes salinity tolerance in plants: A meta-analysis
Tahjib‐Ul‐Arif, M., Wei, X., Jahan, I., Hasanuzzaman, M., Sabuj, Z. H., Zulfiqar, F., Chen, J., Iqbal, R., Dastogeer, K. M. G., Sohag, A. A. M., et al. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2022.957735 · Cited by 32
McKay, B., Yantha, Z. D., Hussien, J., Carter, M. J., & Ste‐Marie, D. M. (2022) · Meta-Psychology · doi:10.15626/mp.2021.2803 · Cited by 52
Yeo, B. S. Y., Toh, E. M. S., Lim, N. E., Lee, R. S., Ho, R., Tam, W., & Ngo, R. Y. S. (2023) · The Laryngoscope · doi:10.1002/lary.30957 · Cited by 34
Tammi, R., Kaartinen, N. E., Harald, K., Maukonen, M., Tapanainen, H., Smith‐Warner, S. A., Albanes, D., Eriksson, J. G., Jousilahti, P., Koskinen, S. V. P., et al. (2024) · European Journal of Epidemiology · doi:10.1007/s10654-024-01096-7 · Cited by 32
Domokos, Z., Simon, F., Uhrin, E., Szabó, B., Váncsa, S., Varga, G., Hegyi, P. J., Kerémi, B., & Németh, O. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e40402 · Cited by 40
Rodríguez, M. Á., Quintana‐Cepedal, M., Cheval, B., Thøgersen‐Ntoumani, C., Crespo, I., & Olmedillas, H. (2025) · British Journal of Sports Medicine · doi:10.1136/bjsports-2025-110027 · Cited by 38
Chau, C. Y. C., Mediratta, S., McKie, M. A., GREGSON, B. A., Tülü, S., Ercole, A., Solla, D. J. F., Paiva, W. S., Hutchinson, P. J., & Kolias, A. G. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9061996 · Cited by 32
Percutaneous Bone Biopsy for Diabetic Foot Osteomyelitis: A Systematic Review and Meta-Analysis
Schechter, M. C., Ali, M. K., Risk, B. B., Singer, A. D., Santamarina, G., Rogers, H., Rajani, R. R., Umpierrez, G. E., Fayfman, M., & Kempker, R. R. (2020) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofaa393 · Cited by 34
Wang, X., Yang, L., Zhang, J., Zeng, X., Wang, Y., & Jin, Y. (2021) · Neuropsychology Review · doi:10.1007/s11065-021-09486-4 · Cited by 32
Zhang, X., Shang, L.-H., Fan, G., Gu, X.-Y., Xu, J.-Y., Wang, Y.-M., Huang, L.-X., & Cao, B. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2021.800492 · Cited by 28
Alpha-1 Antitrypsin MZ Heterozygosity Is an Endotype of Chronic Obstructive Pulmonary Disease
Ghosh, A., Hobbs, B. D., Moll, M. R., Saferali, A., Boueiz, A. R., Yun, J. H., Sciurba, F. C., Barwick, L., LIMPER, A. H., Flaherty, K. R., et al. (2022) · UCL Discovery (University College London) · Cited by 32
Vermillet, A., Tølbøll, K. B., Mizan, S. L., Skewes, J., & Parsons, C. E. (2022) · Child Development · doi:10.1111/cdev.13760 · Cited by 34
Bracket Transfer Accuracy with the Indirect Bonding Technique—A Systematic Review and Meta-Analysis
Sabbagh, H., Khazaei, Y., Baumert, U., Hoffmann, L., Wichelhaus, A., & Ranković, M. J. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11092568 · Cited by 36
Sex-specific analysis in Behçet's disease reveals higher genetic risk in male patients
Jo, Y. G., Ortiz‐Fernández, L., Coit, P., Yılmaz, V., Yentur, S. P., Alıbaz-Öner, F., Aksu, K., Erken, E., Düzgün, N., Keser, G., et al. (2022) · Journal of Autoimmunity · doi:10.1016/j.jaut.2022.102882 · Cited by 35
Hardy, N. J., Vegivinti, C. T. R., Mehta, M., Thurnham, J., Mebane, A., Pederson, J. M., Tarchand, R., Shivakumar, J., Olaniran, P., Gadodia, R., et al. (2023) · Clinical and Experimental Medicine · doi:10.1007/s10238-023-01004-5 · Cited by 33
Malaria in pregnancy: Meta-analyses of prevalence and associated complications
Das, J. K., Lakhani, S., Rahman, A. R., Siddiqui, F., Ali Padhani, Z., Rashid, Z., Mahmud, O., Naqvi, S. K., Amir Naseem, H., Jehanzeb, H., et al. (2024) · Epidemiology and Infection · doi:10.1017/s0950268824000177 · Cited by 31
Eriksen, M. K., Crooks, B. J., Baunwall, S. M. D., Rud, C. L., Lal, S., & Hvas, C. L. (2021) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.16530 · Cited by 31
A Meta-Analysis on Mobile-Assisted Language Learning Applications: Benefits and Risks
Mihaylova, M., Gorin, S., Reber, T. P., & Rothen, N. (2022) · Psychologica Belgica · doi:10.5334/pb.1146 · Cited by 70
Alterations in levels of cytokine following treatment to predict outcome of sepsis: A meta-analysis
Li, X., Liu, M., Fu, Y., Jiang, Y., & Zhang, Z. (2022) · Cytokine · doi:10.1016/j.cyto.2022.156056 · Cited by 31
Gulyaeva, A. A., Garmaeva, S., Kurilshikov, A., Vila, A. V., Riksen, N. P., Netea, M. G., Weersma, R. K., Fu, J., & Zhernakova, A. (2022) · Viruses · doi:10.3390/v14102305 · Cited by 29
Effect of psychotherapy for adult depression on self-esteem: A systematic review and meta-analysis
Bhattacharya, S., Kennedy, M., Miguel, C., Tröger, A., Hofmann, S. G., & Cuijpers, P. J. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.01.047 · Cited by 31
Slade, L. J., Wilson, M., Mistry, H. D., Bone, J. N., Bello, N. A., Blackman, M., Syeda, N., von Dadelszen, P., & Magee, L. A. (2023) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2023.01.013 · Cited by 35
Effect of opioids for breathlessness in heart failure: a systematic review and meta-analysis
Gaertner, J., Fusi‐Schmidhauser, T., Stock, S., Siemens, W., & Vennedey, V. (2023) · Heart · doi:10.1136/heartjnl-2022-322074 · Cited by 31
Metadata
- Authors
- Balduzzi, S., Rücker, G., & Schwarzer, G.
- Affiliations
- University of Freiburg (DE)
- Corresponding author
- Balduzzi, Sara
- Venue
- Evidence Based Mental Health
- Publisher
- BMJ
- Published
- 2019-09-28
- Volume
- 22
- Issue
- 4
- Pages
- 153-160
- ISSN
- 1362-0347 (ISSN-L)
- 1468-960X
- PMC
- PMC10231495
- OpenAlex
- W2975424845
- Cited by
- 5,827
- References
- 31
- Citations by year
- 2026: 1019 · 2025: 1163 · 2024: 1107 · 2023: 876 · 2022: 885 · 2021: 574 · 2020: 200
- FWCI
- 84.22
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Evidence-Based Mental Health (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Data Analysis with R
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- meta-analysis, R software, meta-package, sensitivity analysis, selection bias, fixed effects model, random effects models, subgroup analysis, forest plots, funnel plot asymmetry, binary outcomes, mental health research
- MeSH terms
- Humans, Software, Meta-Analysis as Topic, Biomedical Research
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
