The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Synthesis of observational studies should consider credibility ceilings
Abstract
Objective Meta-analyses of observational studies often get spuriously precise results. We aimed to factor this skepticism in meta-analysis calculations.Study design and setting We developed a simple sensitivity analysis starting from the assumption that any single observational study cannot give us more than a maximum certainty c% (called credibility ceiling) that an effect is in a particular direction and not in the other. Each study included in meta-analysis is adjusted for different credibility ceilings c and the consistency of the conclusion examined. We applied the method in three meta-analyses of observational studies with nominally statistically significant summary effects (mortality with teaching versus nonteaching health care; risk of non-Hodgkin's lymphoma with hair dyes; mortality with omega-3 fatty acids).Results Between-study heterogeneity I(2) estimates dropped from 36%-72% without a ceiling effect to 0% with ceilings of 9%, 4%, and 4% in the three meta-analyses, respectively. Nominal statistical significance was lost with ceilings of 10%, 8%, and 11%, respectively. The likelihood ratios suggested that even with minimal ceiling effects, there was no strong support for the credibility of each of these three associations.Conclusions Consideration of credibility ceilings allows conservative interpretation of observational evidence and can be applied routinely to meta-analyses of observational studies.
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
“Other topics included meta-regression, while few articles focused on more specific statistical issues, such as dose-response analysis [81, 109, 111, 113], credibility ceilings [110], bias adjustment [112], hierarchical models [117], or regression bias [108].”
From Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations (2018) · cites this paper as [110]
Citations
Cites
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
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
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
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020124 · Cited by 10,505
Self-citationWhy Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · CHANCE · doi:10.1080/09332480.2005.10722754 · Cited by 4,702
Self-citationEvaluating non-randomised intervention studies
Deeks, J., Dinnes, J., D'Amico, R., Sowden, A., Sakarovitch, C., Song, F., Petticrew, M., & Altman, D. (2003) · Health Technology Assessment · doi:10.3310/hta7270 · Cited by 2,907
Wacholder, S., Chanock, S. J., García‐Closas, M., ghormli, L. K. E., & Rothman, N. (2004) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djh075 · Cited by 1,753
Bayesian Approaches to Clinical Trials and Health‐Care Evaluation
Spiegelhalter, D. J., Abrams, K. R., & Myles, J. P. (2003) · Wiley eBooks · doi:10.1002/0470092602 · Cited by 1,687
Sterne, J. A. C. (2001) · BMJ · doi:10.1136/bmj.322.7280.226 · Cited by 1,466
Hooper, L., Thompson, R. L., Harrison, R. A., Summerbell, C. D., Ness, A. R., Moore, H. J., Worthington, H. V., Durrington, P. N., Higgins, J. P. T., Capps, N. E., et al. (2006) · BMJ · doi:10.1136/bmj.38755.366331.2f · Cited by 676
Cited by
Sorted by citations
Adiposity and cancer at major anatomical sites: umbrella review of the literature
Kyrgiou, M., Kalliala, I., Markozannes, G., Gunter, M. J., Paraskevaidis, E., Gabra, H., Martin-Hirsch, P., & Tsilidis, K. K. (2017) · BMJ · doi:10.1136/bmj.j477 · Cited by 803
Cupp, M. A., Cariolou, M., Tzoulaki, I., Aune, D., Evangelou, E., & Berlanga-Taylor, A. J. (2020) · BMC Medicine · doi:10.1186/s12916-020-01817-1 · Cited by 697
Moja, L., Piatti, A., Pecoraro, V. L., Ricci, C., Virgili, G., Salanti, G., Germagnoli, L., Liberati, A., & Banfi, G. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046175 · Cited by 677
Self-citationRisk factors for endometrial cancer: An umbrella review of the literature
Raglan, O., Kalliala, I. E. J., Markozannes, G., Cividini, S., Gunter, M. J., Nautiyal, J., Gabra, H., Paraskevaidis, E. A., Martin‐Hirsch, P. L., Tsilidis, K. K., et al. (2018) · International Journal of Cancer · doi:10.1002/ijc.31961 · Cited by 664
Mueller, M., D’Addario, M., Egger, M., Cevallos, M., Dekkers, O., Mugglin, C., & Scott, P. (2018) · BMC Medical Research Methodology · doi:10.1186/s12874-018-0495-9 · Cited by 400
Köhler, C. A., Evangelou, E., Stubbs, B., Solmi, M., Veronese, N., Belbasis, L., Bortolato, B., Melo, M. C. A., Coelho, C. A., Fernandes, B. S., et al. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.05.020 · Cited by 302
Self-citationRezende, L. F. M. D., Sá, T. H. D., Markozannes, G., Rey-López, J. P., Lee, I.-M., Tsilidis, K. K., Ioannidis, J. P. A., & Eluf-Neto, J. (2018) · British Journal of Sports Medicine · doi:10.1136/bjsports-2017-098391 · Cited by 276
Self-citationKim, J. H., Kim, J. Y., Lee, J., Jeong, G. H., Lee, E., Lee, S., Lee, K. H., Kronbichler, A., Stubbs, B., Solmi, M., et al. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30312-6 · Cited by 258
Kim, J. Y., Son, M. J., Son, C. Y., Radua, J., Eisenhut, M., Gressier, F., Koyanagi, A., Carvalho, A. F., Stubbs, B., Solmi, M., et al. (2019) · The Lancet Psychiatry · doi:10.1016/s2215-0366(19)30181-6 · Cited by 271
Acute Kidney Injury and Prognosis After Cardiopulmonary Bypass: A Meta-analysis of Cohort Studies
Pickering, J. W., James, M. T., & Palmer, S. C. (2014) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2014.09.008 · Cited by 267
Machado, M. O., Veronese, N., Sanches, M., Stubbs, B., Koyanagi, A., Thompson, T., Tzoulaki, I., Solmi, M., Vancampfort, D., Schuch, F. B., et al. (2018) · BMC Medicine · doi:10.1186/s12916-018-1101-z · Cited by 281
Self-citationIoannidis, J. P. A. (2011) · JAMA · doi:10.1001/jama.2011.713 · Cited by 256
Self-citationUmbrella reviews: what they are and why we need them
Papatheodorou, S. (2019) · European Journal of Epidemiology · doi:10.1007/s10654-019-00505-6 · Cited by 201
Bowden, S. J., Doulgeraki, T., Bouras, E., Markozannes, G., Athanasiou, A., Grout-Smith, H., Kechagias, K. S., Ellis, L. B., Zuber, V., Chadeau‐Hyam, M., et al. (2023) · BMC Medicine · doi:10.1186/s12916-023-02965-w · Cited by 211
The Potential Effect of Metformin on Cancer: An Umbrella Review
Yu, H., Zhong, X. Z., Gao, P., Shi, J., Wu, Z., Guo, Z., Wang, Z., & Song, Y. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2019.00617 · Cited by 135
Tea Consumption and Risk of Cancer: An Umbrella Review and Meta-Analysis of Observational Studies
Kim, T. L., Jeong, G. H., Yang, J. W., Lee, K. H., Kronbichler, A., van der Vliet, H. J., Grosso, G., Galvano, F., Aune, D., Kim, J. Y., et al. (2020) · Advances in Nutrition · doi:10.1093/advances/nmaa077 · Cited by 118
Li, F., Ye, J., Shao, C., & Zhong, B. (2021) · Lipids in Health and Disease · doi:10.1186/s12944-021-01440-w · Cited by 118
Diet, body size, physical activity and risk of prostate cancer: An umbrella review of the evidence
Markozannes, G., Tzoulaki, I., Karli, D., Εvangelou, Ε., Ntzani, E., Gunter, M. J., Norat, T., Ioannidis, J. P. A., & Tsilidis, K. K. (2016) · European Journal of Cancer · doi:10.1016/j.ejca.2016.09.026 · Cited by 113
Self-citationMeta-analysis in evidence-based healthcare
Doi, S. A. R., Furuya‐Kanamori, L., Thalib, L., & Barendregt, J. J. (2017) · International Journal of Evidence-Based Healthcare · doi:10.1097/xeb.0000000000000125 · Cited by 98
Statins and Multiple Noncardiovascular Outcomes
He, Y., Li, X., Gašević, D., Brunt, E., McLachlan, F., Millenson, M. E., Timofeeva, M. N., Ioannidis, J. P. A., Campbell, H. J., & Τheodoratou, E. (2018) · Annals of Internal Medicine · doi:10.7326/m18-0808 · Cited by 97
Self-citationSolmi, M., Köhler, C. A., Stubbs, B., Koyanagi, A., Bortolato, B., Monaco, F., Vancampfort, D., Machado, M. O., Maes, M. H. J., Tzoulaki, I., et al. (2018) · European Journal of Clinical Investigation · doi:10.1111/eci.12982 · Cited by 92
Self-citationAcute Kidney Injury and mortality prognosis in Acute Coronary Syndrome patients: A meta‐analysis
Pickering, J. W., Blunt, I. R. H., & Than, M. P. (2016) · Nephrology · doi:10.1111/nep.12984 · Cited by 85
Umbrella Reviews: What They Are and Why We Need Them
Papatheodorou, S., & Εvangelou, Ε. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1566-9_8 · Cited by 81
Association of Hormonal Contraceptive Use With Adverse Health Outcomes
Brabaharan, S., Veettil, S. K., Kaiser, J. E., Rao, V. R. R., Wattanayingcharoenchai, R., Maharajan, M. K., Insin, P., Talungchit, P., Anothaisintawee, T., Thakkinstian, A., et al. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.43730 · Cited by 77
Veettil, S. K., Sadoyu, S., Bald, E. M., Chandran, V. P., Khuu, S. A. T., Pitak, P., Lee, Y. Y., Nair, A. B., Antony, P. T., Ford, A. C., et al. (2021) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.15103 · Cited by 52
Risk Factors for Ovarian Cancer: An Umbrella Review of the Literature
Whelan, E., Kalliala, I. E. J., Semertzidou, A., Raglan, O., Bowden, S. J., Kechagias, K. S., Markozannes, G., Cividini, S., McNeish, I. A., Marchesi, J. R., et al. (2022) · Cancers · doi:10.3390/cancers14112708 · Cited by 52
Papatheodorou, S., Tsilidis, K. K., Εvangelou, Ε., & Ioannidis, J. P. A. (2014) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2014.09.004 · Cited by 43
Self-citationSadoyu, S., Tanni, K. A., Punrum, N., Paengtrai, S., Kategaew, W., Promchit, N., Lai, N. M., Thakkinstian, A., Ngorsuraches, S., Bangpan, M., et al. (2022) · PLOS ONE · doi:10.1371/journal.pone.0269009 · Cited by 40
Aspirin and Its Potential Preventive Role in Cancer: An Umbrella Review
Song, Y., Zhong, X. Z., Gao, P., Zhou, C., Shi, J., Wu, Z., Guo, Z., & Wang, Z. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00003 · Cited by 35
Prognostic Biomarkers for Gastric Cancer: An Umbrella Review of the Evidence
Zhou, C., Zhong, X. Z., Song, Y., Shi, J., Wu, Z., Guo, Z., Sun, J., & Wang, Z. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.01321 · Cited by 31
Giok, K. C., Veettil, S. K., & Menon, R. K. (2024) · Journal of Dentistry · doi:10.1016/j.jdent.2024.105065 · Cited by 41
Kim, J. H., Kim, J. Y., Lee, S., Lee, S., Stubbs, B., Koyanagi, A., Dragioti, E., Jacob, L., Carvalho, A. F., Raduà, J., et al. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104761 · Cited by 36
Combining Statistical Evidence
Kulinskaya, E., Morgenthaler, S., & Staudte, R. G. (2014) · International Statistical Review · doi:10.1111/insr.12037 · Cited by 30
Prognostic Biomarkers for Pancreatic Ductal Adenocarcinoma: An Umbrella Review
Wang, Y., Zhong, X. Z., Zhou, L., Lü, J., Jiang, B., Liu, C., & Guo, J. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.01466 · Cited by 27
Metformin and health outcomes: An umbrella review of systematic reviews with meta‐analyses
Li, X., Celotto, S., Pizzol, D., Gašević, D., Ji, M., Barnini, T., Solmi, M., Stubbs, B., Smith, L., Sánchez, G. F. L., et al. (2021) · European Journal of Clinical Investigation · doi:10.1111/eci.13536 · Cited by 27
Self-citationIoannidis, J. P. A. (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyq265 · Cited by 27
Self-citationMaternal adiposity and perinatal and offspring outcomes: an umbrella review
Yang, Z., Feng, G., Gao, X., Yan, X., Li, Y., Wang, Y., Li, S., Jiang, Y., Zhao, S., Zhao, H., et al. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01994-6 · Cited by 22
Efficacy and safety of colistin loading dose: a meta-analysis
Bellos, I., Pergialiotis, V., Frountzas, M., Kontzoglou, K., Daskalakis, G., & Perrea, D. N. (2020) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkaa064 · Cited by 21
Dang, Y., & Hou, Y. (2021) · European Radiology · doi:10.1007/s00330-020-07437-w · Cited by 21
Xie, B., He, J., Liu, Y., Liu, T., & Liu, C. (2021) · Lipids in Health and Disease · doi:10.1186/s12944-021-01444-6 · Cited by 22
Xiong, X., Zhang, S., Liao, X., Du, J., Zheng, W., Hu, S., Wei, Q., & Yang, L. (2024) · Environmental Pollution · doi:10.1016/j.envpol.2024.123531 · Cited by 14
Truths, Associations, and Hypotheses
Kirpalani, H. M., & Whyte, R. K. (2011) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2011.05.002 · Cited by 13
Mathur, M. B., & VanderWeele, T. J. (2020) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2020.05.006 · Cited by 12
Bellos, I. (2021) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2021.03.020 · Cited by 13
Environmental risk factors, protective factors and lifestyles for lung cancer: an umbrella review
Feng, M., Wang, F., Bao, M., & Zhu, L. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1623840 · Cited by 11
Bellos, I., & Pergialiotis, V. (2020) · Journal of Clinical Hypertension · doi:10.1111/jch.13940 · Cited by 9
Semertzidou, A., Grout-Smith, H., Kalliala, I. E. J., Garg, A., Terzidou, V., Marchesi, J. R., MacIntyre, D. A., Bennett, P. R., Tsilidis, K. K., & Kyrgiou, M. (2023) · BMC Medicine · doi:10.1186/s12916-023-02758-1 · Cited by 10
Yu, L., Yuan, J. T., Meng, M., Pan, H., Ge, L., Wang, L., & Li, X. (2025) · Metabolism · doi:10.1016/j.metabol.2025.156461 · Cited by 8
Kim, J. Y., Steingroever, J., Lee, K. H., Oh, J. S., Choi, M., Lee, J. M., Larkins, N., Schaefer, F. S., Hong, S. H., Jeong, G. H., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9020394 · Cited by 9
Bellos, I., Kontzoglou, K., & Perrea, D. N. (2020) · International Journal of Clinical Practice · doi:10.1111/ijcp.13721 · Cited by 8
Factors affecting survival in patients with colorectal cancer: an umbrella review
Yu, L., Yuan, J. T., Lou, S., Huang, A., Cai, X., Ji, J., Dai, X., Mao, X., Mao, Y., & Sun, L. (2025) · Journal of Translational Medicine · doi:10.1186/s12967-025-06876-7 · Cited by 11
Tempest, A., Veettil, S. K., Maharajan, M. K., Earl, J. C., Ngorsuraches, S., & Chaiyakunapruk, N. (2022) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2022.103834 · Cited by 8
Chan, J. E., Shanmugham, S., Kumar, S., V, Lee, Y. Y., Ching, S. M., Chaiyakunapruk, N., & Veettil, S. K. (2025) · Clinical and Translational Science · doi:10.1111/cts.70235 · Cited by 4
Li, C., Li, J., Xiong, S., Zhou, H., Cai, X., Xie, Z., Peng, H., Wu, X., Zhong, R., Jiang, Y., et al. (2023) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-023-04606-4 · Cited by 4
A Summary of Recent Updates on the Genetic Determinants of Depression
Dunn, E. C., Wang, M., & Perlis, R. H. (2019) · Elsevier eBooks · doi:10.1016/b978-0-323-58131-8.00001-x · Cited by 5
Ioannidis, J. P. A. (2020) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2020.05.004 · Cited by 1
Self-citationMathur, M. B., & VanderWeele, T. J. (2020) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2020.05.002 · Cited by 1
Fundamental problems with the "credibility ceiling" method for meta-analysesPreprint
Mathur, M. B., & VanderWeele, T. J. (2020) · doi:10.31219/osf.io/4qxgf · Cited by 1
van Amelsvoort, L. G. P. M., Viechtbauer, W., & Spigt, M. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2008.08.011
Pickering, J. W., James, M. T., & Palmer, S. C. (2015)
de Rezende, L. F. M. (2019) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.5.2019.tde-16042019-120044
Controversy and debate on credibility ceilings. Paper 4: Credibility ceilings da capo
Ioannidis, J. P. A. (2020) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2020.05.005
Self-citationScheuer, K. S., Hanlon, B. M., Dresel, J. W., Nolan, E. D., Davis, J. C., & Loewe, L. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/099192
Errors in the statistical justification for the "credibility ceiling" remain uncorrectedPreprint
Mathur, M. B., & VanderWeele, T. J. (2020) · doi:10.31219/osf.io/xmcdb
Giudice, M. D. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105089
Xie, B., He, J., Liu, Y., Liu, T., & Liu, C. (2021) · Figshare · doi:10.6084/m9.figshare.14072308
Xie, B., He, J., Liu, Y., Liu, T., & Liu, C. (2021) · Figshare · doi:10.6084/m9.figshare.14072302
Xie, B., He, J., Liu, Y., Liu, T., & Liu, C. (2021) · Figshare · doi:10.6084/m9.figshare.14072317
Bowden, S. J., Doulgeraki, T., Bouras, E., Markozannes, G., Athanasiou, A., Grout-Smith, H., Kechagias, K. S., Ellis, L. B., Zuber, V., Chadeau‐Hyam, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26607001
Bowden, S. J., Doulgeraki, T., Bouras, E., Markozannes, G., Athanasiou, A., Grout-Smith, H., Kechagias, K. S., Ellis, L. B., Zuber, V., Chadeau‐Hyam, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26606977
Bowden, S. J., Doulgeraki, T., Bouras, E., Markozannes, G., Athanasiou, A., Grout-Smith, H., Kechagias, K. S., Ellis, L. B., Zuber, V., Chadeau‐Hyam, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26606980
Xie, B., He, J., Liu, Y., Liu, T., & Liu, C. (2021) · Figshare · doi:10.6084/m9.figshare.14072290
Bowden, S. J., Doulgeraki, T., Bouras, E., Markozannes, G., Athanasiou, A., Grout-Smith, H., Kechagias, K. S., Ellis, L. B., Zuber, V., Chadeau‐Hyam, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26606995
Cupp, M. A., Cariolou, M., Tzoulaki, I., Aune, D., Evangelou, E., & Berlanga‐Taylor, A. J. (2020) · Figshare · doi:10.6084/m9.figshare.13265825
Xie, B., He, J., Liu, Y., Liu, T., & Liu, C. (2021) · Figshare · doi:10.6084/m9.figshare.14072305
Semertzidou, A., Grout-Smith, H., Kalliala, I. E. J., Garg, A., Terzidou, V., Marchesi, J., MacIntyre, D., Bennett, P., Tsilidis, K., & Kyrgiou, M. (2023) · Figshare · doi:10.6084/m9.figshare.22655484
Xie, B., He, J., Liu, Y., Liu, T., & Liu, C. (2021) · Figshare · doi:10.6084/m9.figshare.14072296
Semertzidou, A., Grout-Smith, H., Kalliala, I. E. J., Garg, A., Terzidou, V., Marchesi, J., MacIntyre, D., Bennett, P., Tsilidis, K., & Kyrgiou, M. (2023) · Figshare · doi:10.6084/m9.figshare.22655499
Cupp, M. A., Cariolou, M., Tzoulaki, I., Aune, D., Evangelou, E., & Berlanga‐Taylor, A. J. (2020) · Figshare · doi:10.6084/m9.figshare.13265828
Bowden, S. J., Doulgeraki, T., Bouras, E., Markozannes, G., Athanasiou, A., Grout-Smith, H., Kechagias, K. S., Ellis, L. B., Zuber, V., Chadeau‐Hyam, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26606983
Xie, B., He, J., Liu, Y., Liu, T., & Liu, C. (2021) · Figshare · doi:10.6084/m9.figshare.14072311
Semertzidou, A., Grout-Smith, H., Kalliala, I. E. J., Garg, A., Terzidou, V., Marchesi, J., MacIntyre, D., Bennett, P., Tsilidis, K., & Kyrgiou, M. (2023) · Figshare · doi:10.6084/m9.figshare.22655508
Semertzidou, A., Grout-Smith, H., Kalliala, I. E. J., Garg, A., Terzidou, V., Marchesi, J., MacIntyre, D., Bennett, P., Tsilidis, K., & Kyrgiou, M. (2023) · Figshare · doi:10.6084/m9.figshare.22655511
Bowden, S. J., Doulgeraki, T., Bouras, E., Markozannes, G., Athanasiou, A., Grout-Smith, H., Kechagias, K. S., Ellis, L. B., Zuber, V., Chadeau‐Hyam, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26606986
Xie, B., He, J., Liu, Y., Liu, T., & Liu, C. (2021) · Figshare · doi:10.6084/m9.figshare.14072293
Li, F., Ye, J., Shao, C., & Zhong, B. (2021) · Figshare · doi:10.6084/m9.figshare.14129363
Xie, B., He, J., Liu, Y., Liu, T., & Liu, C. (2021) · Figshare · doi:10.6084/m9.figshare.14072299
Semertzidou, A., Grout-Smith, H., Kalliala, I. E. J., Garg, A., Terzidou, V., Marchesi, J., MacIntyre, D., Bennett, P., Tsilidis, K., & Kyrgiou, M. (2023) · Figshare · doi:10.6084/m9.figshare.22655481
Semertzidou, A., Grout-Smith, H., Kalliala, I. E. J., Garg, A., Terzidou, V., Marchesi, J., MacIntyre, D., Bennett, P., Tsilidis, K., & Kyrgiou, M. (2023) · Figshare · doi:10.6084/m9.figshare.22655505
Bowden, S. J., Doulgeraki, T., Bouras, E., Markozannes, G., Athanasiou, A., Grout-Smith, H., Kechagias, K. S., Ellis, L. B., Zuber, V., Chadeau‐Hyam, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26606965
Bowden, S. J., Doulgeraki, T., Bouras, E., Markozannes, G., Athanasiou, A., Grout-Smith, H., Kechagias, K. S., Ellis, L. B., Zuber, V., Chadeau‐Hyam, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26606971
Bowden, S. J., Doulgeraki, T., Bouras, E., Markozannes, G., Athanasiou, A., Grout-Smith, H., Kechagias, K. S., Ellis, L. B., Zuber, V., Chadeau‐Hyam, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26606968
Bowden, S. J., Doulgeraki, T., Bouras, E., Markozannes, G., Athanasiou, A., Grout-Smith, H., Kechagias, K. S., Ellis, L. B., Zuber, V., Chadeau‐Hyam, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26606992
Bowden, S. J., Doulgeraki, T., Bouras, E., Markozannes, G., Athanasiou, A., Grout-Smith, H., Kechagias, K. S., Ellis, L. B., Zuber, V., Chadeau‐Hyam, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26606974
Xie, B., He, J., Liu, Y., Liu, T., & Liu, C. (2021) · Figshare · doi:10.6084/m9.figshare.14072314
Bowden, S. J., Doulgeraki, T., Bouras, E., Markozannes, G., Athanasiou, A., Grout-Smith, H., Kechagias, K. S., Ellis, L. B., Zuber, V., Chadeau‐Hyam, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26606989
Semertzidou, A., Grout-Smith, H., Kalliala, I. E. J., Garg, A., Terzidou, V., Marchesi, J., MacIntyre, D., Bennett, P., Tsilidis, K., & Kyrgiou, M. (2023) · Figshare · doi:10.6084/m9.figshare.22655496
Semertzidou, A., Grout-Smith, H., Kalliala, I. E. J., Garg, A., Terzidou, V., Marchesi, J., MacIntyre, D., Bennett, P., Tsilidis, K., & Kyrgiou, M. (2023) · Figshare · doi:10.6084/m9.figshare.22655493
Semertzidou, A., Grout-Smith, H., Kalliala, I. E. J., Garg, A., Terzidou, V., Marchesi, J., MacIntyre, D., Bennett, P., Tsilidis, K., & Kyrgiou, M. (2023) · Figshare · doi:10.6084/m9.figshare.22655487
Semertzidou, A., Grout-Smith, H., Kalliala, I. E. J., Garg, A., Terzidou, V., Marchesi, J., MacIntyre, D., Bennett, P., Tsilidis, K., & Kyrgiou, M. (2023) · Figshare · doi:10.6084/m9.figshare.22655490
Metadata
- Authors
- Salanti, G., & Ioannidis, J. P. A.
- Affiliations
- University of Ioannina (GR)
- Tufts University (US)
- Corresponding author
- Ioannidis, John P.A.
- Venue
- Journal of Clinical Epidemiology
- Publisher
- Elsevier BV
- Published
- 2009-02
- Volume
- 62
- Issue
- 2
- Pages
- 115-122
- ISSN
- 0895-4356 (ISSN-L)
- OpenAlex
- W2010361292
- Cited by
- 108
- References
- 25
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 16 · 2023: 15 · 2022: 6 · 2021: 18 · 2020: 18 · 2019: 6 · 2018: 6 · 2017: 4 · 2016: 2 · 2014: 3 · 2012: 1
- FWCI
- 1.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Clinical Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Keywords
- observational studies, sensitivity analysis, study heterogeneity, direction of effect, likelihood ratios, non-Hodgkin lymphoma, hair dyes, omega-3 fatty acids, mortality
- MeSH terms
- Algorithms, Data Interpretation, Statistical, Hair Dyes, Hospitals, Teaching, Humans, Lymphoma, Non-Hodgkin, Research Design, Risk, Meta-Analysis as Topic, Fatty Acids, Omega-3, Bias, Likelihood Functions, Hospital Mortality
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