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Healthcare outcomes assessed with observational study designs compared with those assessed in randomized trials
Open accessAbstract
BACKGROUND: Researchers and organizations often use evidence from randomized controlled trials (RCTs) to determine the efficacy of a treatment or intervention under ideal conditions. Studies of observational designs are often used to measure the effectiveness of an intervention in 'real world' scenarios. Numerous study designs and modifications of existing designs, including both randomized and observational, are used for comparative effectiveness research in an attempt to give an unbiased estimate of whether one treatment is more effective or safer than another for a particular population.A systematic analysis of study design features, risk of bias, parameter interpretation, and effect size for all types of randomized and non-experimental observational studies is needed to identify specific differences in design types and potential biases. This review summarizes the results of methodological reviews that compare the outcomes of observational studies with randomized trials addressing the same question, as well as methodological reviews that compare the outcomes of different types of observational studies. OBJECTIVES: To assess the impact of study design (including RCTs versus observational study designs) on the effect measures estimated.To explore methodological variables that might explain any differences identified.To identify gaps in the existing research comparing study designs. SEARCH METHODS: We searched seven electronic databases, from January 1990 to December 2013.Along with MeSH terms and relevant keywords, we used the sensitivity-specificity balanced version of a validated strategy to identify reviews in PubMed, augmented with one term ("review" in article titles) so that it better targeted narrative reviews. No language restrictions were applied. SELECTION CRITERIA: We examined systematic reviews that were designed as methodological reviews to compare quantitative effect size estimates measuring efficacy or effectiveness of interventions tested in trials with those tested in observational studies. Comparisons included RCTs versus observational studies (including retrospective cohorts, prospective cohorts, case-control designs, and cross-sectional designs). Reviews were not eligible if they compared randomized trials with other studies that had used some form of concurrent allocation. DATA COLLECTION AND ANALYSIS: In general, outcome measures included relative risks or rate ratios (RR), odds ratios (OR), hazard ratios (HR). Using results from observational studies as the reference group, we examined the published estimates to see whether there was a relative larger or smaller effect in the ratio of odds ratios (ROR).Within each identified review, if an estimate comparing results from observational studies with RCTs was not provided, we pooled the estimates for observational studies and RCTs. Then, we estimated the ratio of ratios (risk ratio or odds ratio) for each identified review using observational studies as the reference category. Across all reviews, we synthesized these ratios to get a pooled ROR comparing results from RCTs with results from observational studies. MAIN RESULTS: Our initial search yielded 4406 unique references. Fifteen reviews met our inclusion criteria; 14 of which were included in the quantitative analysis.The included reviews analyzed data from 1583 meta-analyses that covered 228 different medical conditions. The mean number of included studies per paper was 178 (range 19 to 530).Eleven (73%) reviews had low risk of bias for explicit criteria for study selection, nine (60%) were low risk of bias for investigators' agreement for study selection, five (33%) included a complete sample of studies, seven (47%) assessed the risk of bias of their included studies,Seven (47%) reviews controlled for methodological differences between studies,Eight (53%) reviews controlled for heterogeneity among studies, nine (60%) analyzed similar outcome measures, and four (27%) were judged to be at low risk of reporting bias.Our primary quantitative analysis, including 14 reviews, showed that the pooled ROR comparing effects from RCTs with effects from observational studies was 1.08 (95% confidence interval (CI) 0.96 to 1.22). Of 14 reviews included in this analysis, 11 (79%) found no significant difference between observational studies and RCTs. One review suggested observational studies had larger effects of interest, and two reviews suggested observational studies had smaller effects of interest.Similar to the effect across all included reviews, effects from reviews comparing RCTs with cohort studies had a pooled ROR of 1.04 (95% CI 0.89 to 1.21), with substantial heterogeneity (I(2) = 68%). Three reviews compared effects of RCTs and case-control designs (pooled ROR: 1.11 (95% CI 0.91 to 1.35)).No significant difference in point estimates across heterogeneity, pharmacological intervention, or propensity score adjustment subgroups were noted. No reviews had compared RCTs with observational s
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Cites
Cochrane Handbook for Systematic Reviews of Interventions
Tarsilla, M. (2010) · Journal of MultiDisciplinary Evaluation · doi:10.56645/jmde.v6i14.284 · Cited by 5,232
Randomized, Controlled Trials, Observational Studies, and the Hierarchy of Research Designs
Concato, J., Shah, N., & Horwitz, R. I. (2000) · New England Journal of Medicine · doi:10.1056/nejm200006223422507 · Cited by 3,563
Interaction revisited: the difference between two estimates.
Altman, D. G., & Bland, J. M. (2003) · BMJ · doi:10.1136/bmj.326.7382.219 · Cited by 3,203
Evaluating 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
A comparison of observational studies and randomized, controlled trials.
Benson, K., & Hartz, A. J. (2000) · New England Journal of Medicine · doi:10.1056/nejm200006223422506 · Cited by 2,347
Lipsey, M. W., & Wilson, D. B. (1993) · American Psychologist · doi:10.1037/0003-066x.48.12.1181 · Cited by 2,033
Industry sponsorship and research outcome
Lundh, A., Lexchin, J., Mintzes, B., Schroll, J. B., & Bero, L. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.mr000033.pub3 · Cited by 1,697
Self-citationContradicted and Initially Stronger Effects in Highly Cited Clinical Research
Ioannidis, J. P. A. (2005) · JAMA · doi:10.1001/jama.294.2.218 · Cited by 1,465
Fitzpatrick, R. M., Shortall, Sculpher, Murray, Morris, Lodge, Dawson, Carr, Britton, & Briggs, A. H. (1998) · Health Technology Assessment · doi:10.3310/hta2200 · Cited by 969
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
Research works printed but not linked: 2
- Deeks JJ D'Amico R Sakarovitch C Are comparability of case-mix and the use of statistical adjustment markers of quality in non-randomised studies? An empirical investigation 4th Symposium on Systematic Reviews: Pushing the Boundaries Oxford, UK 2002
- Shepherd J Bagnall A Colquitt J 'Sometimes similar, sometimes different': a systematic review of meta-analyses of randomised and non-randomised policy intervention studies 14th Cochrane Colloquium, Dublin, Ireland
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Richter, D., & Hoffmann, H. (2017) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12765 · Cited by 61
Kessler, R. C., Bauer, M. S., Bishop, T. M., Demler, O. V., Dobscha, S. K., Gildea, S. M., Goulet, J. L., Karras, E., Kreyenbuhl, J., Landes, S. J., et al. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00390 · Cited by 52
Larvin, H., Gao, C., Kang, J. X., Aggarwal, V. R., Pavitt, S. H., & Wu, J. (2023) · Age and Ageing · doi:10.1093/ageing/afad015 · Cited by 51
HESS, D. R. (2023) · Respiratory Care · doi:10.4187/respcare.11170 · Cited by 65
Poelemeijer, Y. Q. M., Liem, R. S. L., Våge, V., Mala, T., Sundbom, M., Ottosson, J., & Nienhuijs, S. W. (2018) · Obesity Surgery · doi:10.1007/s11695-018-3408-4 · Cited by 51
Rugg-Gunn, A. J., Spencer, A. J., Whelton, H. P., Jones, C. T., Beal, J. F., Castle, P., Cooney, P., Johnson, J. L., Kelly, M. P., Lennon, M. A., et al. (2016) · BDJ · doi:10.1038/sj.bdj.2016.257 · Cited by 50
Pilotto, A., Panza, F., Copetti, M., Simonato, M., Sancarlo, D., Gallina, P., Strandberg, T. E., & MPI_AGE Project Investigators (2015) · PLoS ONE · doi:10.1371/journal.pone.0130946 · Cited by 49
Kory, P. D., Meduri, G. U., Iglesias, J. I., Varón, J., Berkowitz, K., Kornfeld, H., Vinjevoll, E. H., Scott, M., Wagshul, F. A., & Marik, P. E. (2020) · doi:10.31219/osf.io/wx3zn · Cited by 49
Barrios, V., Escobar, C., Prieto, L., Osorio, G., Polo, J., Lobos, J. M., Vargas, D., & García, N. (2015) · Revista Española de Cardiología (English Edition) · doi:10.1016/j.rec.2015.04.017 · Cited by 48
Carleton, R. N., Krätzig, G. P., Sauer-Zavala, S., Neary, J. P., Lix, L. M., Fletcher, A. J., Afifi, T. O., Brunet, A., Martin, R., Hamelin, K. S., et al. (2022) · Health Promotion and Chronic Disease Prevention in Canada · doi:10.24095/hpcdp.42.8.02 · Cited by 45
Big Data in Designing Clinical Trials: Opportunities and Challenges
Mayo, C. S., Matuszak, M. M., Schipper, M. J., Jolly, S., Hayman, J. A., & Haken, R. K. T. (2017) · Frontiers in Oncology · doi:10.3389/fonc.2017.00187 · Cited by 48
Pertussis vaccine effectiveness and duration of protection – A systematic review and meta-analysis
Wilkinson, K., Righolt, C. H., Elliott, L. J., Fanella, S. T., & Mahmud, S. M. (2021) · Vaccine · doi:10.1016/j.vaccine.2021.04.032 · Cited by 45
Pilotto, A., Gallina, P., Copetti, M., Pilotto, A., Marcato, F., Mello, A. M., Simonato, M., Logroscino, G., Padovani, A., Ferrucci, L., et al. (2016) · Journal of the American Geriatrics Society · doi:10.1111/jgs.14221 · Cited by 46
Observational research rigour alone does not justify causal inference
Ejima, K., Li, P., Smith, D. L., Nagy, T. R., Kadish, I., van Groen, T., Dawson, J., Yang, Y., Patki, A., & Allison, D. B. (2016) · European Journal of Clinical Investigation · doi:10.1111/eci.12681 · Cited by 45
Leenen, J. P. L., Hentzen, J. E. K. R., & Ockhuijsen, H. D. L. (2018) · Updates in Surgery · doi:10.1007/s13304-018-0526-4 · Cited by 45
Bergdahl, C., Nilsson, F., Wennergren, D., Ekholm, C., & Möller, M. (2021) · Clinical Epidemiology · doi:10.2147/clep.s307762 · Cited by 46
Scott, J. M., Lee, J., Herndon, J. E., Michalski, M., Lee, C. P., O’Brien, K. A., SASSO, J. P., Yu, A. F., Rowed, K., Bromberg, J., et al. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad085 · Cited by 44
Columbo, J. A., Martínez-Camblor, P., MacKenzie, T. A., Staiger, D. O., Kang, R., Goodney, P., & O'Malley, A. (2018) · JAMA Network Open · doi:10.1001/jamanetworkopen.2018.1676 · Cited by 37
Lussier, M. E., Evans, H. J., Wright, E. A., & Gionfriddo, M. R. (2019) · Journal of the American Pharmacists Association · doi:10.1016/j.japh.2019.07.002 · Cited by 45
Forbes, S. P., & Dahabreh, I. (2020) · Journal of general internal medicine · doi:10.1007/s11606-020-05713-5 · Cited by 35
Extraction vs nonextraction orthodontic treatment: a systematic review and meta-analysis
Elias, K. G., Sivamurthy, G., & Bearn, D. R. (2024) · The Angle Orthodontist · doi:10.2319/021123-98.1 · Cited by 43
What’s in a gold standard? In defence of randomised controlled trials
Backmann, M. (2017) · Medicine Health Care and Philosophy · doi:10.1007/s11019-017-9773-2 · Cited by 53
Razavi, M., Glasziou, P., Klocksieben, F. A., Ioannidis, J. P. A., Chalmers, I., & Djulbegović, B. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.11111 · Cited by 40
Wu, C., Luedtke, A. R., Sadikova, E., Tsai, H., Liao, S., Liu, C., Gau, S. S., VanderWeele, T. J., & Kessler, R. C. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.21660 · Cited by 46
Randomized Clinical Trials and Observational Studies Are More Often Alike Than Unlike
Ross, J. S. (2014) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2014.3366 · Cited by 42
Yang, X., Xu, X., Guo, L., Zhang, Y., Wang, S., & Li, Y. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1080740 · Cited by 42
Dupuis, C., de Montmollin, É., Buetti, N., Goldgran-Tolédano, D., Reignier, J., Schwebel, C., Domitile, J., Neuville, M., Ursino, M., Siami, S., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0255644 · Cited by 39
Saldanha, I. J., Adam, G. P., Bañez, L. L., Bass, E. B., Berliner, E., Devine, B., Hammarlund, N. E., Jain, A., Norris, S. L., Skelly, A. C., et al. (2022) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2022.08.015 · Cited by 40
Getahun, T., & Villanger, E. (2017) · The Journal of Development Studies · doi:10.1080/00220388.2017.1327661 · Cited by 39
Yuan, H., Ali, M. S., Brouwer, E., Girman, C. J., Guo, J. J., Lund, J. L., Patorno, E., Slaughter, J. L., Wen, X., & Bennett, D. (2018) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.1086 · Cited by 39
Janiaud, P., Agarwal, A., Tzoulaki, I., Τheodoratou, E., Tsilidis, K. K., Εvangelou, Ε., & Ioannidis, J. P. A. (2021) · BMC Medicine · doi:10.1186/s12916-021-02020-6 · Cited by 41
Dahabreh, I. J., Matthews, A., Steingrimsson, J. A., Scharfstein, D. O., & Stuart, E. A. (2023) · Epidemiologic Reviews · doi:10.1093/epirev/mxac011 · Cited by 40
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Lin, R., Stanley, M. D., Ghassemi, M. M., & Nemati, S. (2018) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2018.8513203 · Cited by 38
Chen, M. J., Campbell, S. T., Finlay, A. K., Duckworth, A. D., Bishop, J. A., & Gardner, M. J. (2020) · Journal of Orthopaedic Trauma · doi:10.1097/bot.0000000000001865 · Cited by 38
Harms of off-label erythropoiesis-stimulating agents for critically ill people
Mesgarpour, B., Heidinger, B. H., von Roth, D., Schmitz, S., Walsh, C., & Herkner, H. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd010969.pub2 · Cited by 35
Monsarrat, P., & Vergnes, J. (2017) · GigaScience · doi:10.1093/gigascience/gix121 · Cited by 35
Hobson, E., Baird, W. O., Bradburn, M. J., Cooper, C. L., Mawson, S., Quinn, A., Shaw, P. J., Walsh, T., & McDermott, C. J. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-028525 · Cited by 36
Elfeky, A., Gillies, K., Gardner, H., Fraser, C. M., Ishaku, T., & Treweek, S. P. (2020) · Systematic Reviews · doi:10.1186/s13643-020-01471-x · Cited by 38
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Serino, J., Mohamadi, A., Orman, S., McCormick, B. P., Hanna, P. C., Weaver, M. J., Harris, M. B., Nazarian, A., & Keudell, A. G. V. (2017) · Injury · doi:10.1016/j.injury.2017.10.013 · Cited by 36
Lundqvist, S., Börjesson, M., Larsson, M. E. H., Hagberg, L., & Cider, Å. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175190 · Cited by 35
Clinical studies in restorative dentistry: Design, conduct, analysis
Schwendicke, F., & Opdam, N. J. M. (2017) · Dental Materials · doi:10.1016/j.dental.2017.09.009 · Cited by 39
Mims, S. C., Tan, H. S., Sun, K., Pham, T., Rubright, S. M., Kaplan, S. J., & Habib, A. S. (2022) · Journal of Clinical Anesthesia · doi:10.1016/j.jclinane.2022.110787 · Cited by 35
Macle, L., Frame, D., Gache, L. M., Monir, G., Pollak, S. J., & Boo, L. M. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-023775 · Cited by 35
Reulen, H.-J., Poepperl, G., Goetz, C., Gildehaus, F. J., Schmidt, M. B., Tatsch, K., Pietsch, T., Kraus, T. F. J., & Rachinger, W. (2015) · Journal of neurosurgery · doi:10.3171/2014.12.jns142168 · Cited by 34
Greenberger, B. A., Zaorsky, N. G., & Den, R. B. (2019) · European Urology Focus · doi:10.1016/j.euf.2019.11.007 · Cited by 34
Sorror, M. L., Gooley, T. A., Storer, B. E., Gerds, A. T., Sekeres, M. A., Medeiros, B. C., Wang, E. S., Shami, P. J., Adekola, K., Luger, S. M., et al. (2022) · Blood · doi:10.1182/blood.2022016916 · Cited by 34
Caparrotta, T. M., Dear, J. W., Colhoun, H. M., & Webb, D. J. (2019) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.14024 · Cited by 38
Nherera, L. M., Trueman, P., Roberts, C. D., & Berg, L. T. (2017) · Burns · doi:10.1016/j.burns.2017.01.004 · Cited by 33
Kamin, W., Funk, P., Seifert, G., Zimmermann, A., & Lehmacher, W. (2017) · Current Medical Research and Opinion · doi:10.1080/03007995.2017.1402754 · Cited by 33
Nebulized heparin for inhalation injury in burn patients: a systematic review and meta-analysis
Lan, X., Huang, Z., Tan, Z., Huang, Z., Wang, D., & Huang, Y. (2020) · Burns & Trauma · doi:10.1093/burnst/tkaa015 · Cited by 33
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Coleman, K. J., Shu, Y., Fischer, H. J., Johnson, E., Yoon, T. K., Taylor, B., Imam, T. H., Derose, S. F., Haneuse, S., Herrinton, L. J., et al. (2021) · Annals of Surgery · doi:10.1097/sla.0000000000004851 · Cited by 33
Carmichael, P., Butler, G. E., Masic, U., Cole, T. J., Stavola, B. L. D., Davidson, S., Skageberg, E. M., Khadr, S. N., & Viner, R. (2020) · medRxiv · doi:10.1101/2020.12.01.20241653 · Cited by 33
Use of tranexamic acid in medial open wedge high tibial osteotomy
Petersen, W. J., Bentzin, M., Bierke, S., Park, H. U., & Häner, M. (2021) · Archives of Orthopaedic and Trauma Surgery · doi:10.1007/s00402-021-04219-x · Cited by 32
Cuello‐García, C. A., Morgan, R. L., Brożek, J., Santesso, N. A., Verbeek, J. H. A. M., Thayer, K. A., Guyatt, G. H., & Schünemann, H. J. (2018) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2018.01.010 · Cited by 33
Tsai, C. J., Riaz, N., & Gomez, S. L. (2019) · Seminars in Radiation Oncology · doi:10.1016/j.semradonc.2019.05.002 · Cited by 32
Deconfounding with Networked Observational Data in a Dynamic Environment
Ma, J., Guo, R., Chen, C., Zhang, A., & Li, J. (2021) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/3437963.3441818 · Cited by 33
Marked variation in malignant transformation rates of oral leukoplakia
Anderson, A., & Ishak, N. (2015) · Evidence-Based Dentistry · doi:10.1038/sj.ebd.6401128 · Cited by 32
Using observational data for personalized medicine when clinical trial evidence is limited
Gershman, B., Guo, D. P., & Dahabreh, I. J. (2018) · Fertility and Sterility · doi:10.1016/j.fertnstert.2018.04.005 · Cited by 33
Antibiotic use in early childhood and risk of obesity: longitudinal analysis of a national cohort
Kelly, D., Kelly, A., O’Dowd, T., & Hayes, C. B. (2019) · World Journal of Pediatrics · doi:10.1007/s12519-018-00223-1 · Cited by 31
Brady, M., Ali, M., VandenBerg, K., Williams, L. J., Williams, L. R., Abo, M., Becker, F., Bowen, A., Brandenburg, C., Breitenstein, C., et al. (2022) · Health and Social Care Delivery Research · doi:10.3310/rtlh7522 · Cited by 35
The Case For and Against a Coronary Artery Calcium Trial
McEvoy, J. W., Martin, S. S., Blaha, M. J., Polonsky, T. S., Nasir, K., Kaul, S., Greenland, P., & Blumenthal, R. S. (2016) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2016.03.012 · Cited by 30
Does long-term use of antidiabetic drugs changes cancer risk?
Liu, Y.-C., Nguyen, P.-A., Humayun, A., Chien, S.-C., Yang, H., Asdary, R. N., Syed-Abdul, S., Hsu, M., Moldovan, M. V., Yen, Y., et al. (2019) · Medicine · doi:10.1097/md.0000000000017461 · Cited by 30
Million, M., Lagier, J., Tissot‐Dupont, H., Ravaux, I., Dhiver, C., Tomei, C., Cassir, N., Delorme, L., Cortaredona, S., Amrane, S., et al. (2021) · Reviews in Cardiovascular Medicine · doi:10.31083/j.rcm2203116 · Cited by 30
The Range and Scientific Value of Randomized Trials
Lange, S., Sauerland, S., Lauterberg, J., & Windeler, J. (2017) · Deutsches Ärzteblatt international · doi:10.3238/arztebl.2017.0635 · Cited by 29
Killaspy, H. T., Priebe, S., McPherson, P., Zenasni, Z., McCrone, P., Dowling, S., Harrison, I., Krotofil, J., Dalton‐Locke, C., McGranahan, R., et al. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00258 · Cited by 26
Keenan, T. D. L., Vitale, S., Agrón, E., Domalpally, A., Antoszyk, A. N., Elman, M. J., Clemons, T. E., & Chew, E. Y. (2019) · Ophthalmology Retina · doi:10.1016/j.oret.2019.06.001 · Cited by 30
Liang, S., Zhang, X., Hu, Y., Yang, J., & Li, K. (2021) · Surgery · doi:10.1016/j.surg.2021.05.008 · Cited by 30
Bröckelmann, N., Balduzzi, S., Harms, L., Beyerbach, J., Πετροπούλου, Μ., Kubiak, C., Wolkewitz, M., Meerpohl, J. J., & Schwingshackl, L. (2022) · BMC Medicine · doi:10.1186/s12916-022-02369-2 · Cited by 29
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Ferrer, R. L., Schlenker, C. G., Cruz, I. I., Noël, P. H., Palmer, R. F., Poursani, R. S., & Jaén, C. R. (2022) · The Annals of Family Medicine · doi:10.1370/afm.2848 · Cited by 33
Loiseau, N., Trichelair, P., He, M., Andreux, M., Zaslavskiy, M., Wainrib, G., & Blum, M. G. B. (2022) · BMC Medical Research Methodology · doi:10.1186/s12874-022-01799-z · Cited by 29
Ankarfeldt, M. Z., Adalsteinsson, E., Groenwold, R. H. H., Ali, M. S., & Klungel, O. H. (2017) · Clinical Epidemiology · doi:10.2147/clep.s121991 · Cited by 29
Torp-Pedersen, C. T., Goette, A., Nielsen, P. B., Potpara, T., Fauchier, L., Camm, A. J., Arbelo, E., Boriani, G., Skjoeth, F., Rumsfeld, J. S., et al. (2019) · EP Europace · doi:10.1093/europace/euz210 · Cited by 27
Hees, T., Abdelatif, Y., Karpinski, K., Bierke, S., Häner, M., Park, H. U., & Petersen, W. J. (2021) · Archives of Orthopaedic and Trauma Surgery · doi:10.1007/s00402-021-04004-w · Cited by 27
The use of nonrandomized evidence to estimate treatment effects in health technology assessment
Kent, S., Salcher‐Konrad, M., Boccia, S., Bouvy, J. C., de Waure, C., Espín, J., Facey, K. M., Nguyen, M., Rejón-Parrilla, J. C., & Jonsson, P. F. (2021) · Journal of Comparative Effectiveness Research · doi:10.2217/cer-2021-0108 · Cited by 27
Farrugia, M., & Kirsch, A. J. (2017) · Journal of Pediatric Urology · doi:10.1016/j.jpurol.2017.02.005 · Cited by 26
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Nair, S., Hsu, D. J., & Celi, L. A. (2016) · Springer eBooks · doi:10.1007/978-3-319-43742-2_3 · Cited by 29
Price, G., van Herk, M., & Faivre-Finn, C. (2017) · Clinical Oncology · doi:10.1016/j.clon.2017.07.011 · Cited by 25
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Metadata
- Authors
- Anglemyer, A., Horvath, H. T., & Bero, L.
- Affiliations
- University of California, San Francisco (US)
- University of California, San Francisco; Global Health Sciences; San Francisco California USA 94105
- Venue
- Cochrane Database of Systematic Reviews
- Publisher
- Wiley
- Published
- 2014-04-29
- Volume
- 2014
- Issue
- 4
- Pages
- MR000034-MR000034
- ISSN
- 1361-6137 (ISSN-L)
- 1465-1858
- PMC
- PMC8191367
- OpenAlex
- W1972783815
- Cited by
- 534
- References
- 74
- Citations by year
- 2026: 10 · 2025: 21 · 2024: 37 · 2023: 45 · 2022: 63 · 2021: 73 · 2020: 60 · 2019: 50 · 2018: 43 · 2017: 49 · 2016: 41 · 2015: 36 · 2014: 6
- FWCI
- 43.06
- Type
- journal article
- Language
- en
- Update notices
- new_version (2024-01-04)
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cochrane Database of Systematic Reviews (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- randomized controlled trials, observational studies, comparative effectiveness research, effect size estimation, risk of bias, study design comparison, relative risk, odds ratio, hazard ratio, retrospective cohort, prospective cohort, case-control study, cross-sectional study, methodological review, real-world effectiveness, bias in observational studies, effect size heterogeneity
- MeSH terms
- Humans, Meta-Analysis as Topic, Randomized Controlled Trials as Topic, Outcome Assessment, Health Care, Observational Studies as Topic
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