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For: Berlin JA, Santanna J, Schmid CH, Szczech LA, Feldman HI. Individual patient- versus group-level data meta-regressions for the investigation of treatment effect modifiers: ecological bias rears its ugly head. Stat Med. 2002;21:371-387. [PMID: 11813224 DOI: 10.1002/sim.1023] [Cited by in Crossref: 246] [Cited by in F6Publishing: 233] [Article Influence: 12.3] [Reference Citation Analysis]
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2 Cope S, Zhang J, Saletan S, Smiechowski B, Jansen JP, Schmid P. A process for assessing the feasibility of a network meta-analysis: a case study of everolimus in combination with hormonal therapy versus chemotherapy for advanced breast cancer. BMC Med 2014;12:93. [PMID: 24898705 DOI: 10.1186/1741-7015-12-93] [Cited by in Crossref: 36] [Cited by in F6Publishing: 37] [Article Influence: 4.5] [Reference Citation Analysis]
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4 Riley RD, Price MJ, Jackson D, Wardle M, Gueyffier F, Wang J, Staessen JA, White IR. Multivariate meta-analysis using individual participant data. Res Synth Methods 2015;6:157-74. [PMID: 26099484 DOI: 10.1002/jrsm.1129] [Cited by in Crossref: 46] [Cited by in F6Publishing: 47] [Article Influence: 5.8] [Reference Citation Analysis]
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6 Häuser W, Bartram C, Bartram-Wunn E, Tölle T. Adverse events attributable to nocebo in randomized controlled drug trials in fibromyalgia syndrome and painful diabetic peripheral neuropathy: systematic review. Clin J Pain. 2012;28:437-451. [PMID: 22336767 DOI: 10.1097/ajp.0b013e3182321ad8] [Cited by in Crossref: 50] [Cited by in F6Publishing: 14] [Article Influence: 5.0] [Reference Citation Analysis]
7 Imaoka H, Sasaki M, Takahashi H, Hashimoto Y, Ohno I, Mitsunaga S, Watanabe K, Umemoto K, Kimura G, Suzuki Y, Ikeda M. Progression-free survival as a surrogate endpoint in advanced neuroendocrine neoplasms. Endocr Relat Cancer 2017;24:475-83. [PMID: 28684542 DOI: 10.1530/ERC-17-0197] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 1.6] [Reference Citation Analysis]
8 Clauser C, Nieri M, Franceschi D, Pagliaro U, Pini-Prato G. Evidence-based mucogingival therapy. Part 2: Ordinary and individual patient data meta-analyses of surgical treatment of recession using complete root coverage as the outcome variable. J Periodontol. 2003;74:741-756. [PMID: 12816306 DOI: 10.1902/jop.2003.74.5.741] [Cited by in Crossref: 86] [Cited by in F6Publishing: 84] [Article Influence: 4.5] [Reference Citation Analysis]
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10 Gaudino M, Puskas JD, Di Franco A, Ohmes LB, Iannaccone M, Barbero U, Glineur D, Grau JB, Benedetto U, D'Ascenzo F, Gaita F, Girardi LN, Taggart DP. Three Arterial Grafts Improve Late Survival: A Meta-Analysis of Propensity-Matched Studies. Circulation 2017;135:1036-44. [PMID: 28119382 DOI: 10.1161/CIRCULATIONAHA.116.025453] [Cited by in Crossref: 72] [Cited by in F6Publishing: 11] [Article Influence: 14.4] [Reference Citation Analysis]
11 Scharf D, Shiffman S. Are there gender differences in smoking cessation, with and without bupropion? Pooled- and meta-analyses of clinical trials of Bupropion SR. Addiction 2004;99:1462-9. [PMID: 15500599 DOI: 10.1111/j.1360-0443.2004.00845.x] [Cited by in Crossref: 135] [Cited by in F6Publishing: 125] [Article Influence: 7.9] [Reference Citation Analysis]
12 Dworkin RH, Turk DC, Peirce-sandner S, He H, Mcdermott MP, Hochberg MC, Jordan JM, Katz NP, Lin AH, Neogi T, Rappaport BA, Simon LS, Strand V. Meta-Analysis of Assay Sensitivity and Study Features in Clinical Trials of Pharmacologic Treatments for Osteoarthritis Pain: Assay Sensitivity in Clinical Trials of OA Pain. Arthritis & Rheumatology 2014;66:3327-36. [DOI: 10.1002/art.38869] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 1.4] [Reference Citation Analysis]
13 VAN Vulpen JK, Sweegers MG, Peeters PHM, Courneya KS, Newton RU, Aaronson NK, Jacobsen PB, Galvão DA, Chinapaw MJ, Steindorf K, Irwin ML, Stuiver MM, Hayes S, Griffith KA, Mesters I, Knoop H, Goedendorp MM, Mutrie N, Daley AJ, McConnachie A, Bohus M, Thorsen L, Schulz KH, Short CE, James EL, Plotnikoff RC, Schmidt ME, Ulrich CM, VAN Beurden M, Oldenburg HS, Sonke GS, VAN Harten WH, Schmitz KH, Winters-Stone KM, Velthuis MJ, Taaffe DR, VAN Mechelen W, Kersten MJ, Nollet F, Wenzel J, Wiskemann J, Verdonck-DE Leeuw IM, Brug J, May AM, Buffart LM. Moderators of Exercise Effects on Cancer-related Fatigue: A Meta-analysis of Individual Patient Data. Med Sci Sports Exerc 2020;52:303-14. [PMID: 31524827 DOI: 10.1249/MSS.0000000000002154] [Cited by in Crossref: 11] [Cited by in F6Publishing: 3] [Article Influence: 5.5] [Reference Citation Analysis]
14 Zhou GW, Hu J, Peng XD, Li Q. RAD51 135G>C polymorphism and breast cancer risk: a meta-analysis. Breast Cancer Res Treat 2011;125:529-35. [PMID: 20623332 DOI: 10.1007/s10549-010-1031-8] [Cited by in Crossref: 18] [Cited by in F6Publishing: 15] [Article Influence: 1.5] [Reference Citation Analysis]
15 Patsopoulos NA, Evangelou E, Ioannidis JP. Sensitivity of between-study heterogeneity in meta-analysis: proposed metrics and empirical evaluation. Int J Epidemiol 2008;37:1148-57. [PMID: 18424475 DOI: 10.1093/ije/dyn065] [Cited by in Crossref: 455] [Cited by in F6Publishing: 436] [Article Influence: 32.5] [Reference Citation Analysis]
16 Vale CL, Burdett S, Fisher DJ, Navani N, Parmar MK, Copas AJ, Tierney JF. Should Tyrosine Kinase Inhibitors Be Considered for Advanced Non-Small-Cell Lung Cancer Patients With Wild Type EGFR? Two Systematic Reviews and Meta-Analyses of Randomized Trials. Clin Lung Cancer 2015;16:173-182.e4. [PMID: 25547901 DOI: 10.1016/j.cllc.2014.11.007] [Cited by in Crossref: 14] [Cited by in F6Publishing: 15] [Article Influence: 1.8] [Reference Citation Analysis]
17 Asseburg C, Vergel YB, Palmer S, Fenwick E, de Belder M, Abrams KR, Sculpher M. Assessing the effectiveness of primary angioplasty compared with thrombolysis and its relationship to time delay: a Bayesian evidence synthesis. Heart 2007;93:1244-50. [PMID: 17277350 DOI: 10.1136/hrt.2006.093336] [Cited by in Crossref: 21] [Cited by in F6Publishing: 14] [Article Influence: 1.4] [Reference Citation Analysis]
18 Liu Z, Xiang Q, Mu G, Xie Q, Zhou S, Wang Z, Chen S, Hu K, Gong Y, Jiang J, Cui Y. Effectiveness and Safety of Platelet ADP -P2Y12 Receptor Inhibitors Influenced by Smoking Status: A Systematic Review and Meta-Analysis. J Am Heart Assoc 2019;8:e010889. [PMID: 30898054 DOI: 10.1161/JAHA.118.010889] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
19 Riley RD, Steyerberg EW. Meta-analysis of a binary outcome using individual participant data and aggregate data. Res Synth Methods 2010;1:2-19. [PMID: 26056090 DOI: 10.1002/jrsm.4] [Cited by in Crossref: 66] [Cited by in F6Publishing: 53] [Article Influence: 5.5] [Reference Citation Analysis]
20 Wertli MM, Kessels AGH, Perez RSGM, Bachmann LM, Brunner F. Rational Pain Management in Complex Regional Pain Syndrome 1 (CRPS 1)—A Network Meta-Analysis. Pain Med 2014;15:1575-89. [DOI: 10.1111/pme.12466] [Cited by in Crossref: 33] [Cited by in F6Publishing: 21] [Article Influence: 4.1] [Reference Citation Analysis]
21 Fernandes R, Ferreira JJ, Sampaio C. The placebo response in studies of acute migraine. J Pediatr 2008;152:527-33, 533.e1. [PMID: 18346509 DOI: 10.1016/j.jpeds.2007.09.024] [Cited by in Crossref: 36] [Cited by in F6Publishing: 30] [Article Influence: 2.4] [Reference Citation Analysis]
22 Gross CP, Garg PP, Krumholz HM. The generalizability of observational data to elderly patients was dependent on the research question in a systematic review. Journal of Clinical Epidemiology 2005;58:130-7. [DOI: 10.1016/j.jclinepi.2004.10.001] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 0.4] [Reference Citation Analysis]
23 Ritz J, Demidenko E, Spiegelman D. Multivariate meta-analysis for data consortia, individual patient meta-analysis, and pooling projects. Journal of Statistical Planning and Inference 2008;138:1919-33. [DOI: 10.1016/j.jspi.2007.07.004] [Cited by in Crossref: 22] [Cited by in F6Publishing: 5] [Article Influence: 1.6] [Reference Citation Analysis]
24 van Walraven C, Austin P. Administrative database research has unique characteristics that can risk biased results. J Clin Epidemiol 2012;65:126-31. [PMID: 22075111 DOI: 10.1016/j.jclinepi.2011.08.002] [Cited by in Crossref: 133] [Cited by in F6Publishing: 129] [Article Influence: 12.1] [Reference Citation Analysis]
25 Macedo A, Baños J, Farré M. Placebo response in the prophylaxis of migraine: A meta-analysis. European Journal of Pain 2008;12:68-75. [DOI: 10.1016/j.ejpain.2007.03.002] [Cited by in Crossref: 84] [Cited by in F6Publishing: 78] [Article Influence: 8.4] [Reference Citation Analysis]
26 Home PD, Fritsche A, Schinzel S, Massi-Benedetti M. Meta-analysis of individual patient data to assess the risk of hypoglycaemia in people with type 2 diabetes using NPH insulin or insulin glargine. Diabetes Obes Metab. 2010;12:772-779. [PMID: 20649629 DOI: 10.1111/j.1463-1326.2010.01232.x] [Cited by in Crossref: 67] [Cited by in F6Publishing: 62] [Article Influence: 6.1] [Reference Citation Analysis]
27 Donegan S, Williamson P, D'Alessandro U, Tudur Smith C. Assessing the consistency assumption by exploring treatment by covariate interactions in mixed treatment comparison meta-analysis: individual patient-level covariates versus aggregate trial-level covariates. Stat Med 2012;31:3840-57. [PMID: 22786621 DOI: 10.1002/sim.5470] [Cited by in Crossref: 27] [Cited by in F6Publishing: 29] [Article Influence: 2.7] [Reference Citation Analysis]
28 Webster A, Woodroffe RC, Taylor RS, Chapman JR, Craig JC. Tacrolimus versus cyclosporin as primary immunosuppression for kidney transplant recipients. Cochrane Database Syst Rev. 2005;5:CD003961. [PMID: 16235347 DOI: 10.1002/14651858.cd003961.pub2] [Cited by in Crossref: 63] [Cited by in F6Publishing: 56] [Article Influence: 3.7] [Reference Citation Analysis]
29 Pigott T, Williams R, Polanin J. Combining individual participant and aggregated data in a meta-analysis with correlational studies. Res Synth Methods 2012;3:257-68. [PMID: 26053420 DOI: 10.1002/jrsm.1051] [Cited by in Crossref: 12] [Cited by in F6Publishing: 7] [Article Influence: 1.2] [Reference Citation Analysis]
30 Habraken JM, ter Riet G, Gore JM, Greenstone MA, Weersink EJ, Bindels PJ, Willems DL. Health-Related Quality of Life in End-Stage COPD and Lung Cancer Patients. Journal of Pain and Symptom Management 2009;37:973-81. [DOI: 10.1016/j.jpainsymman.2008.07.010] [Cited by in Crossref: 56] [Cited by in F6Publishing: 49] [Article Influence: 4.3] [Reference Citation Analysis]
31 Garton H, Barker FG, Haines SJ. Neurosurgical Epidemiology and Outcomes Assessment. Youmans Neurological Surgery. Elsevier; 2011. pp. 183-202. [DOI: 10.1016/b978-1-4160-5316-3.00012-5] [Cited by in Crossref: 2] [Article Influence: 0.2] [Reference Citation Analysis]
32 Pace NL. Questioning a Relationship between Nitrous Oxide Duration of Exposure and Postoperative Nausea and Vomiting. Anesthesiology 2014;121:1356-8. [DOI: 10.1097/aln.0000000000000460] [Cited by in Crossref: 1] [Article Influence: 0.1] [Reference Citation Analysis]
33 Hotta K, Kiura K, Fujiwara Y, Takigawa N, Oze I, Ochi N, Tabata M, Tanimoto M. Association between incremental gains in the objective response rate and survival improvement in phase III trials of first-line chemotherapy for extensive disease small-cell lung cancer. Ann Oncol 2009;20:829-34. [PMID: 19221150 DOI: 10.1093/annonc/mdp020] [Cited by in Crossref: 18] [Cited by in F6Publishing: 20] [Article Influence: 1.4] [Reference Citation Analysis]
34 Coenen P, Huysmans MA, Holtermann A, Troiano R, Mork PJ, Krokstad S, Clays E, van Mechelen W, van der Beek AJ. Can socioeconomic health differences be explained by physical activity at work and during leisure time? Rationale and protocol of the active worker individual participant meta-analysis. BMJ Open 2018;8:e023379. [PMID: 30373782 DOI: 10.1136/bmjopen-2018-023379] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
35 Phillippo DM, Dias S, Ades AE, Belger M, Brnabic A, Schacht A, Saure D, Kadziola Z, Welton NJ. Multilevel network meta-regression for population-adjusted treatment comparisons. J R Stat Soc Ser A Stat Soc 2020;183:1189-210. [PMID: 32684669 DOI: 10.1111/rssa.12579] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 4.0] [Reference Citation Analysis]
36 Bai Y, Gao J, Zhang W, Zou D, Li Z. Meta-analysis: allopurinol in the prevention of postendoscopic retrograde cholangiopancreatography pancreatitis. Aliment Pharmacol Ther. 2008;28:557-564. [PMID: 18714440 DOI: 10.1111/j.1365-2036.2008.03756.x] [Cited by in Crossref: 18] [Cited by in F6Publishing: 20] [Article Influence: 1.3] [Reference Citation Analysis]
37 Burke DL, Ensor J, Riley RD. Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ. Stat Med 2017;36:855-75. [PMID: 27747915 DOI: 10.1002/sim.7141] [Cited by in Crossref: 176] [Cited by in F6Publishing: 171] [Article Influence: 29.3] [Reference Citation Analysis]
38 Lambrichts S, Detraux J, Vansteelandt K, Nordenskjöld A, Obbels J, Schrijvers D, Sienaert P. Does lithium prevent relapse following successful electroconvulsive therapy for major depression? A systematic review and meta-analysis. Acta Psychiatr Scand 2021;143:294-306. [PMID: 33506961 DOI: 10.1111/acps.13277] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
39 Saramago P, Chuang LH, Soares MO. Network meta-analysis of (individual patient) time to event data alongside (aggregate) count data. BMC Med Res Methodol 2014;14:105. [PMID: 25209121 DOI: 10.1186/1471-2288-14-105] [Cited by in Crossref: 14] [Cited by in F6Publishing: 11] [Article Influence: 1.8] [Reference Citation Analysis]
40 Declercq L, Jamshidi L, Fernández Castilla B, Moeyaert M, Beretvas SN, Ferron JM, Van den Noortgate W. Multilevel Meta-Analysis of Individual Participant Data of Single-Case Experimental Designs: One-Stage versus Two-Stage Methods. Multivariate Behav Res 2020;:1-20. [PMID: 32996335 DOI: 10.1080/00273171.2020.1822148] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
41 Backes CH, Rivera BK, Pavlek L, Beer LJ, Ball MK, Zettler ET, Smith CV, Bridge JA, Bell EF, Frey HA. Proactive neonatal treatment at 22 weeks of gestation: a systematic review and meta-analysis. Am J Obstet Gynecol 2021;224:158-74. [PMID: 32745459 DOI: 10.1016/j.ajog.2020.07.051] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
42 Boucher M, Bennetts M. The Many Flavors of Model-Based Meta-Analysis: Part I-Introduction and Landmark Data. CPT Pharmacometrics Syst Pharmacol 2016;5:54-64. [PMID: 26933516 DOI: 10.1002/psp4.12041] [Cited by in Crossref: 22] [Cited by in F6Publishing: 19] [Article Influence: 3.7] [Reference Citation Analysis]
43 Bohlius J, Tonia T, Nüesch E, Jüni P, Fey MF, Egger M, Bernhard J. Effects of erythropoiesis-stimulating agents on fatigue- and anaemia-related symptoms in cancer patients: systematic review and meta-analyses of published and unpublished data. Br J Cancer 2014;111:33-45. [PMID: 24743705 DOI: 10.1038/bjc.2014.171] [Cited by in Crossref: 36] [Cited by in F6Publishing: 27] [Article Influence: 4.5] [Reference Citation Analysis]
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45 Doleman B, Mathiesen O, Jakobsen JC, Sutton AJ, Freeman S, Lund JN, Williams JP. Methodologies for systematic reviews with meta-analysis of randomised clinical trials in pain, anaesthesia, and perioperative medicine. Br J Anaesth 2021;126:903-11. [PMID: 33558052 DOI: 10.1016/j.bja.2021.01.004] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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47 Seidler AL, Hunter KE, Cheyne S, Berlin JA, Ghersi D, Askie LM. Prospective meta-analyses and Cochrane's role in embracing next-generation methodologies. Cochrane Database Syst Rev 2020;10:ED000145. [PMID: 33284462 DOI: 10.1002/14651858.ED000145] [Reference Citation Analysis]
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50 Moyo V, Lefebvre P, Duh MS, Yektashenas B, Mundle S. Erythropoiesis-stimulating agents in the treatment of anemia in myelodysplastic syndromes: a meta-analysis. Ann Hematol 2008;87:527-36. [DOI: 10.1007/s00277-008-0450-7] [Cited by in Crossref: 103] [Cited by in F6Publishing: 82] [Article Influence: 7.4] [Reference Citation Analysis]
51 Deeks JJ, Higgins JP, Altman DG; on behalf of the Cochrane Statistical Methods Group. Analysing data and undertaking meta‐analyses. In: Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA, editors. Cochrane Handbook for Systematic Reviews of Interventions. Wiley; 2019. pp. 241-84. [DOI: 10.1002/9781119536604.ch10] [Cited by in Crossref: 206] [Cited by in F6Publishing: 83] [Article Influence: 68.7] [Reference Citation Analysis]
52 Chelala L, O'Connor EE, Barker PB, Zeffiro TA. Meta-analysis of brain metabolite differences in HIV infection. Neuroimage Clin 2020;28:102436. [PMID: 33383609 DOI: 10.1016/j.nicl.2020.102436] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
53 Bai Y, Peng J, Gao J, Zou DW, Li ZS. Epidemiology of lower gastrointestinal bleeding in China: single-center series and systematic analysis of Chinese literature with 53,951 patients. J Gastroenterol Hepatol. 2011;26:678-682. [PMID: 21083610 DOI: 10.1111/j.1440-1746.2010.06586.x] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 0.7] [Reference Citation Analysis]
54 Coenen P, Robroek SJW, van der Beek AJ, Boot CRL, van Lenthe FJ, Burdorf A, Oude Hengel KM. Socioeconomic inequalities in effectiveness of and compliance to workplace health promotion programs: an individual participant data (IPD) meta-analysis. Int J Behav Nutr Phys Act 2020;17:112. [PMID: 32887617 DOI: 10.1186/s12966-020-01002-w] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
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56 Geissbühler M, Hincapié CA, Aghlmandi S, Zwahlen M, Jüni P, da Costa BR. Most published meta-regression analyses based on aggregate data suffer from methodological pitfalls: a meta-epidemiological study. BMC Med Res Methodol 2021;21:123. [PMID: 34130658 DOI: 10.1186/s12874-021-01310-0] [Reference Citation Analysis]
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