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Cites
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
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 Cochrane Collaboration's tool for assessing risk of bias in randomised trials
Higgins, J. P. T., Altman, D. G., Gotzsche, P. C., Juni, P., Moher, D., Oxman, A. D., Savovic, J., Schulz, K. F., Weeks, L., Sterne, J. A. C., et al. (2011) · BMJ · doi:10.1136/bmj.d5928 · Cited by 33,817
Rayyan-a web and mobile app for systematic reviews.
Ouzzani, M., Hammady, H., Fedorowicz, Z., & Elmagarmid, A. (2016) · Systematic Reviews · doi:10.1186/s13643-016-0384-4 · Cited by 26,092
ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions
Sterne, J. A., Hernán, M. A., Reeves, B. C., Savović, J., Berkman, N. D., Viswanathan, M., Henry, D., Altman, D. G., Ansari, M. T., Boutron, I., et al. (2016) · BMJ · doi:10.1136/bmj.i4919 · Cited by 20,329
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955
QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies
Whiting, P. F., Rutjes, A. W. S., Westwood, M. E., Mallett, S., Deeks, J. J., Reitsma, J. B., Leeflang, M. M. G., Sterne, J. A. C., Bossuyt, P. M. M., & the QUADAS-2 Group* (2011) · Annals of Internal Medicine · doi:10.7326/0003-4819-155-8-201110180-00009 · Cited by 14,199
Moher, D., Cook, D. J., Eastwood, S., Olkin, I., Rennie, D., & Stroup, D. F. (1999) · The Lancet · doi:10.1016/s0140-6736(99)04149-5 · Cited by 4,826
Assessing heterogeneity in meta-analysis: Q statistic or I² index?
Huedo-Medina, T. B., Sánchez-Meca, J., Marín-Martínez, F., & Botella, J. (2006) · Psychological Methods · doi:10.1037/1082-989x.11.2.193 · Cited by 4,256
Assessing Bias in Studies of Prognostic Factors
Hayden, J. A., van der Windt, D. A., Cartwright, J. L., Côté, P., & Bombardier, C. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-158-4-201302190-00009 · Cited by 3,287
Utilization of the PICO framework to improve searching PubMed for clinical questions
Schardt, C., Adams, M. B., Owens, T., Keitz, S., & Fontelo, P. (2007) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-7-16 · Cited by 3,053
PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies
Wolff, R. F., Moons, K. G. M., Riley, R. D., Whiting, P. F., Westwood, M., Collins, G. S., Reitsma, J. B., Kleijnen, J., Mallett, S., & for the PROBAST Group† (2019) · Annals of Internal Medicine · doi:10.7326/m18-1376 · Cited by 2,984
Beyond PICO: The SPIDER Tool for Qualitative Evidence Synthesis
Cooke, A., Smith, D., & Booth, A. (2012) · Qualitative Health Research · doi:10.1177/1049732312452938 · Cited by 2,608
A modified test for small‐study effects in meta‐analyses of controlled trials with binary endpoints
Harbord, R. M., Egger, M., & Sterne, J. A. C. (2006) · Statistics in Medicine · doi:10.1002/sim.2380 · Cited by 2,267
Bramer, W. M., Rethlefsen, M. L., Kleijnen, J., & Franco, O. H. (2017) · Systematic Reviews · doi:10.1186/s13643-017-0644-y · Cited by 2,114
Self-citationThe case of the misleading funnel plot
Lau, J., Ioannidis, J. P. A., Terrin, N., Schmid, C. H., & Olkin, I. (2006) · BMJ · doi:10.1136/bmj.333.7568.597 · Cited by 1,766
Meta-analysis and the science of research synthesis
Gurevitch, J., Koricheva, J., Nakagawa, S., & Stewart, G. (2018) · Nature · doi:10.1038/nature25753 · Cited by 1,709 · cited 1×
“However, several studies assessing the quality of published systematic reviews have shown that not all systematic reviews are truly systematic and that their quality is highly variable [5, 6].”
BackgroundMetan: fixed- and random-effects meta-analysis
Harris, R. J., Deeks, J. J., Altman, D. G., Bradburn, M. J., Harbord, R. M., & Sterne, J. A. C. (2008) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0800800102 · Cited by 1,027
Comparison of Evidence of Treatment Effects in Randomized and Nonrandomized Studies
Ioannidis, J. P. A. (2001) · JAMA · doi:10.1001/jama.286.7.821 · Cited by 919
Publication Bias in Meta‐Analysis
Rothstein, H. R., Sutton, A. J., & Borenstein, M. (2005) · Publication Bias in Meta‐Analysis · doi:10.1002/0470870168.ch1 · Cited by 603
Rodgers, M., Sowden, A., Petticrew, M., Arai, L., Roberts, H., Britten, N., & Popay, J. (2009) · Evaluation · doi:10.1177/1356389008097871 · Cited by 561
Dekkers, O. M., Vandenbroucke, J. P., Cevallos, M., Renehan, A. G., Altman, D. G., & Egger, M. (2019) · PLOS Medicine · doi:10.1371/journal.pmed.1002742 · Cited by 525
The Science of Reviewing Researcha
OXMAN, A. D., & GUYATT, G. H. (1993) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1993.tb26342.x · Cited by 472
Clear and present questions: formulating questions for evidence based practice
Booth, A. (2006) · Library Hi Tech · doi:10.1108/07378830610692127 · Cited by 344
Reviewing retrieved references for inclusion in systematic reviews using EndNote
Bramer, W. M., Milic, J., & Mast, F. (2017) · Journal of the Medical Library Association · doi:10.5195/jmla.2017.111 · Cited by 264
Self-citationChoice of data extraction tools for systematic reviews depends on resources and review complexity
Elamin, M. B., Flynn, D. N., Bassler, D., Briel, M., Alonso-Coello, P., Karanicolas, P. J., Guyatt, G. H., Malaga, G., Furukawa, T. A., Kunz, R., et al. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2008.10.016 · Cited by 88
Cited by
Anemia and iron metabolism in COVID-19: a systematic review and meta-analysis
Taneri, P. E., Gómez-Ochoa, S. A., Llanaj, E., Raguindin, P. F., Rojas, L. Z., Roa-Díaz, Z. M., Salvador, D., Groothof, D., Minder, B., Kopp-Heim, D., et al. (2020) · European Journal of Epidemiology · doi:10.1007/s10654-020-00678-5 · Cited by 369
Self-citationAlvandi, E., Wong, W. K. M., Joglekar, M. V., Spring, K. J., & Hardikar, A. A. (2022) · BMC Medicine · doi:10.1186/s12916-022-02529-4 · Cited by 101
Leivaditis, V., Maniatopoulos, A. A., Lausberg, H., Mulita, F., Papatriantafyllou, A., Liolis, E., Beltsios, E., Adamou, A., Kontodimopoulos, N., & Dahm, M. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14082729 · Cited by 76
Anemia and iron metabolism in COVID-19: A systematic review and meta-analysis
Taneri, P. E., Alejandro Gómez-Ochoa, S., Llanaj, E., Francis Raguindin, P., Rojas, L. Z., Wyssmann, B. M., Kopp-Heim, D., Hautz, W. E., Eisenga, M. F., Franco, O. H., et al. (2020) · doi:10.1101/2020.06.04.20122267 · Cited by 72
Self-citationBraunwalder, C., Müller, R., Glisic, M., & Fekete, C. (2022) · Pain Medicine · doi:10.1093/pm/pnab247 · Cited by 56
Self-citation
Metadata
- Authors
- Muka, T., Glisic, M., Milic, J., Verhoog, S., Bohlius, J., Bramer, W., Chowdhury, R., & Franco, O. H.
- Venue
- European Journal of Epidemiology
- Published
- 2019-11-13
- Volume
- 35
- Issue
- 1
- Pages
- 49-60
- ISSN
- 0393-2990 (ISSN-L)
- 1573-7284
- OpenAlex
- W2986921917
- Cited by
- 660
- References
- 28
- FWCI
- 7.81
- Type
- journal article
- Language
- en
- Open access
- green
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