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Volumn 12, Issue 10, 2015, Pages

Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPUTER MODEL; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST; HUMAN; INDIVIDUAL PARTICIPANT DATA; POPULATION BIOLOGY; PRACTICE GUIDELINE; PREDICTIVE VALUE; PROGNOSIS; RISK ASSESSMENT; SAMPLE SIZE; STATISTICAL MODEL; VALIDATION PROCESS; DECISION SUPPORT SYSTEM; DIAGNOSIS; MEDICAL RESEARCH; META ANALYSIS (TOPIC); METHODOLOGY; VALIDATION STUDY;

EID: 84946072388     PISSN: 15491277     EISSN: 15491676     Source Type: Journal    
DOI: 10.1371/journal.pmed.1001886     Document Type: Article
Times cited : (94)

References (45)
  • 2
    • 84874505367 scopus 로고    scopus 로고
    • Prognosis research strategy (PROGRESS) 3: Prognostic model research
    • Steyerberg EW, Moons KGM, van der Windt DA, Hayden JA, Perel P, et al. (2013) Prognosis research strategy (PROGRESS) 3: Prognostic model research. PLoS Medicine 10: e1001381. doi: 10.1371/journal.pmed.1001381 23393430
    • (2013) PLoS Medicine , vol.10 , pp. 1001381
    • Steyerberg, E.W.1    Moons, K.G.M.2    van der Windt, D.A.3    Hayden, J.A.4    Perel, P.5
  • 3
    • 84923923813 scopus 로고    scopus 로고
    • Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
    • Collins GS, Reitsma JB, Altman DG, Moons KGM, (2015) Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. Annals of Internal Medicine 162: 55–63. doi: 10.7326/M14-0697 25560714
    • (2015) Annals of Internal Medicine , vol.162 , pp. 55-63
    • Collins, G.S.1    Reitsma, J.B.2    Altman, D.G.3    Moons, K.G.M.4
  • 4
    • 84860159431 scopus 로고    scopus 로고
    • Risk prediction models: II. External validation, model updating, and impact assessment
    • Moons KGM, Kengne AP, Grobbee DE, Royston P, Vergouwe Y, et al. (2012) Risk prediction models: II. External validation, model updating, and impact assessment. Heart 98: 691–698. doi: 10.1136/heartjnl-2011-301247 22397946
    • (2012) Heart , vol.98 , pp. 691-698
    • Moons, K.G.M.1    Kengne, A.P.2    Grobbee, D.E.3    Royston, P.4    Vergouwe, Y.5
  • 5
    • 67650082402 scopus 로고    scopus 로고
    • Prognosis and prognostic research: validating a prognostic model
    • Altman DG, Vergouwe Y, Royston P, Moons KGM, (2009) Prognosis and prognostic research: validating a prognostic model. British Medical Journal 338: b605. doi: 10.1136/bmj.b605 19477892
    • (2009) British Medical Journal , vol.338 , pp. 605
    • Altman, D.G.1    Vergouwe, Y.2    Royston, P.3    Moons, K.G.M.4
  • 7
    • 33845538175 scopus 로고    scopus 로고
    • Harrell FE, Jr (2001) Regression Modeling Strategies with applications to Linear Models, Logistic Regression and Survival Analysis. Springer Series in Statistics. New York: Springer.
    • (2001) Springer Series in Statistics
    • Harrell, F.E.1
  • 8
    • 80052567230 scopus 로고    scopus 로고
    • Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting
    • Collins GS, Mallett S, Omar O, Yu LM, (2011) Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting. BMC Medicine 9: 103. doi: 10.1186/1741-7015-9-103 21902820
    • (2011) BMC Medicine , vol.9 , pp. 103
    • Collins, G.S.1    Mallett, S.2    Omar, O.3    Yu, L.M.4
  • 9
    • 63349099495 scopus 로고    scopus 로고
    • Prognostic models: a methodological framework and review of models for breast cancer
    • Altman DG, (2009) Prognostic models: a methodological framework and review of models for breast cancer. Cancer Investigation 27: 235–243. doi: 10.1080/07357900802572110 19291527
    • (2009) Cancer Investigation , vol.27 , pp. 235-243
    • Altman, D.G.1
  • 11
    • 84880044696 scopus 로고    scopus 로고
    • A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis
    • Debray TPA, Moons KGM, Ahmed I, Koffijberg H, Riley RD, (2013) A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis. Statistics in Medicine 32: 3158–3180. doi: 10.1002/sim.5732 23307585
    • (2013) Statistics in Medicine , vol.32 , pp. 3158-3180
    • Debray, T.P.A.1    Moons, K.G.M.2    Ahmed, I.3    Koffijberg, H.4    Riley, R.D.5
  • 12
    • 79959342048 scopus 로고    scopus 로고
    • Robust prediction of t-year survival with data from multiple studies
    • Cai T, Gerds TA, Zheng Y, Chen J, (2011) Robust prediction of t-year survival with data from multiple studies. Biometrics 67: 436–444. doi: 10.1111/j.1541-0420.2010.01462.x 20670303
    • (2011) Biometrics , vol.67 , pp. 436-444
    • Cai, T.1    Gerds, T.A.2    Zheng, Y.3    Chen, J.4
  • 13
    • 1542506052 scopus 로고    scopus 로고
    • Construction and validation of a prognostic model across several studies, with an application in superficial bladder cancer
    • Royston P, Parmar MKB, Sylvester R, (2004) Construction and validation of a prognostic model across several studies, with an application in superficial bladder cancer. Statistics in Medicine 23: 907–926. 15027080
    • (2004) Statistics in Medicine , vol.23 , pp. 907-926
    • Royston, P.1    Parmar, M.K.B.2    Sylvester, R.3
  • 14
    • 34047170379 scopus 로고    scopus 로고
    • Evidence synthesis combining individual patient data and aggregate data: a systematic review identified current practice and possible methods
    • Riley RD, Simmonds MC, Look MP, (2007) Evidence synthesis combining individual patient data and aggregate data: a systematic review identified current practice and possible methods. Journal of Clinical Epidemiology 60: 431–439. 17419953
    • (2007) Journal of Clinical Epidemiology , vol.60 , pp. 431-439
    • Riley, R.D.1    Simmonds, M.C.2    Look, M.P.3
  • 15
    • 84892152641 scopus 로고    scopus 로고
    • Developing and validating risk prediction models in an individual participant data meta-analysis
    • Ahmed I, Debray TPA, Moons KGM, Riley RD, (2014) Developing and validating risk prediction models in an individual participant data meta-analysis. BMC Medical Research Methodology 14: 3. doi: 10.1186/1471-2288-14-3 24397587
    • (2014) BMC Medical Research Methodology , vol.14 , pp. 3
    • Ahmed, I.1    Debray, T.P.A.2    Moons, K.G.M.3    Riley, R.D.4
  • 16
    • 84938702916 scopus 로고    scopus 로고
    • Individual participant data (IPD) meta-analyses of randomised controlled trials: Guidance on their use
    • Tierney J, Vale C, Riley R, Tudur Smith C, Stewart L, et al. (2015) Individual participant data (IPD) meta-analyses of randomised controlled trials: Guidance on their use. PLoS Medicine 12: e1001855. doi: 10.1371/journal.pmed.1001855 26196287
    • (2015) PLoS Medicine , vol.12 , pp. 1001855
    • Tierney, J.1    Vale, C.2    Riley, R.3    Tudur Smith, C.4    Stewart, L.5
  • 17
    • 84896930969 scopus 로고    scopus 로고
    • Exclusion of deep vein thrombosis using the wells-rule in clinically important subgroups: Individual patient data meta-analysis
    • Geersing GJ, Zuithoff NPA, Kearon C, Anderson DR, Ten Cate-Hoek AJ, et al. (2014) Exclusion of deep vein thrombosis using the wells-rule in clinically important subgroups: Individual patient data meta-analysis. British Medical Journal 348: g1340. doi: 10.1136/bmj.g1340 24615063
    • (2014) British Medical Journal , vol.348 , pp. 1340
    • Geersing, G.J.1    Zuithoff, N.P.A.2    Kearon, C.3    Anderson, D.R.4    Ten Cate-Hoek, A.J.5
  • 18
    • 84878630337 scopus 로고    scopus 로고
    • External validation of the 2008 Framingham cardiovascular risk equation for CHD and stroke events in a European population of middle-aged men. the PRIME study
    • Majed B, Tafflet M, Kee F, Haas B, Ferrieres J, et al. (2013) External validation of the 2008 Framingham cardiovascular risk equation for CHD and stroke events in a European population of middle-aged men. the PRIME study. Preventive Medicine 57: 49–54. doi: 10.1016/j.ypmed.2013.04.003 23603213
    • (2013) Preventive Medicine , vol.57 , pp. 49-54
    • Majed, B.1    Tafflet, M.2    Kee, F.3    Haas, B.4    Ferrieres, J.5
  • 20
    • 84890159890 scopus 로고    scopus 로고
    • Non-invasive risk scores for prediction of type 2 diabetes (EPIC-InterAct): a validation of existing models
    • Kengne AP, Beulens JWJ, Peelen LM, Moons KGM, van der Schouw YT, et al. (2014) Non-invasive risk scores for prediction of type 2 diabetes (EPIC-InterAct): a validation of existing models. The Lancet Diabetes & Endocrinology 2: 19–29. doi: 10.1016/S2213-8587(13)70103-7 24622666
    • (2014) The Lancet Diabetes & Endocrinology , vol.2 , pp. 19-29
    • Kengne, A.P.1    Beulens, J.W.J.2    Peelen, L.M.3    Moons, K.G.M.4    van der Schouw, Y.T.5
  • 22
    • 84892368804 scopus 로고    scopus 로고
    • Development of the PHASES score for prediction of risk of rupture of intracranial aneurysms: a pooled analysis of six prospective cohort studies
    • Greving JP, Wermer MJH, Brown RDJ, Morita A, Juvela S, et al. (2014) Development of the PHASES score for prediction of risk of rupture of intracranial aneurysms: a pooled analysis of six prospective cohort studies. Lancet Neurology 13: 59–66. doi: 10.1016/S1474-4422(13)70263-1 24290159
    • (2014) Lancet Neurology , vol.13 , pp. 59-66
    • Greving, J.P.1    Wermer, M.J.H.2    Brown, R.D.J.3    Morita, A.4    Juvela, S.5
  • 23
    • 84905366280 scopus 로고    scopus 로고
    • Improving the transparency of prognosis research: the role of reporting, data sharing, registration, and protocols
    • Peat G, Riley RD, Croft P, Morley KI, Kyzas PA, et al. (2014) Improving the transparency of prognosis research: the role of reporting, data sharing, registration, and protocols. PLoS Medicine 11: e1001671. doi: 10.1371/journal.pmed.1001671 25003600
    • (2014) PLoS Medicine , vol.11 , pp. 1001671
    • Peat, G.1    Riley, R.D.2    Croft, P.3    Morley, K.I.4    Kyzas, P.A.5
  • 24
    • 84857667538 scopus 로고    scopus 로고
    • Search filters for finding prognostic and diagnostic prediction studies in medline to enhance systematic reviews
    • Geersing GJ, Bouwmeester W, Zuithoff P, Spijker R, Leeflang M, et al. (2012) Search filters for finding prognostic and diagnostic prediction studies in medline to enhance systematic reviews. PLoS ONE 7: e32844. doi: 10.1371/journal.pone.0032844 22393453
    • (2012) PLoS ONE , vol.7 , pp. 32844
    • Geersing, G.J.1    Bouwmeester, W.2    Zuithoff, P.3    Spijker, R.4    Leeflang, M.5
  • 25
    • 4243150745 scopus 로고    scopus 로고
    • Developing optimal search strategies for detecting clinically sound prognostic studies in MEDLINE: an analytic survey
    • Wilczynski NL, Haynes RB, the Hedges Team (2004) Developing optimal search strategies for detecting clinically sound prognostic studies in MEDLINE: an analytic survey. BMC Medical Research Methodology 2: 23. doi: 10.1186/1741-7015-2-23 15189561
    • (2004) BMC Medical Research Methodology , vol.2 , pp. 23
    • Wilczynski, N.L.1    Haynes, R.B.2
  • 27
    • 84876028745 scopus 로고    scopus 로고
    • Individual participant data meta-analysis for a binary outcome: one-stage or two-stage?
    • Debray TPA, Moons KGM, Abo-Zaid GMA, Koffijberg H, Riley RD, (2013) Individual participant data meta-analysis for a binary outcome: one-stage or two-stage? PLoS ONE 8: e60650. doi: 10.1371/journal.pone.0060650 23585842
    • (2013) PLoS ONE , vol.8 , pp. 60650
    • Debray, T.P.A.1    Moons, K.G.M.2    Abo-Zaid, G.M.A.3    Koffijberg, H.4    Riley, R.D.5
  • 29
    • 84902214639 scopus 로고    scopus 로고
    • Sharing individual participant data from clinical trials: an opinion survey regarding the establishment of a central repository
    • Tudur Smith C, Dwan K, Altman DG, Clarke M, Riley R, et al. (2014) Sharing individual participant data from clinical trials: an opinion survey regarding the establishment of a central repository. PLoS ONE 9: e97886. doi: 10.1371/journal.pone.0097886 24874700
    • (2014) PLoS ONE , vol.9 , pp. 97886
    • Tudur Smith, C.1    Dwan, K.2    Altman, D.G.3    Clarke, M.4    Riley, R.5
  • 31
    • 0345700787 scopus 로고    scopus 로고
    • European prospective investigation into cancer and nutrition (EPIC): study populations and data collection
    • Riboli E, Hunt KJ, Slimani N, Ferrari P, Norat T, et al. (2002) European prospective investigation into cancer and nutrition (EPIC): study populations and data collection. Public Health Nutrition 5: 1113–1124. doi: 10.1079/PHN2002394 12639222
    • (2002) Public Health Nutrition , vol.5 , pp. 1113-1124
    • Riboli, E.1    Hunt, K.J.2    Slimani, N.3    Ferrari, P.4    Norat, T.5
  • 32
    • 38349050019 scopus 로고    scopus 로고
    • The emerging risk factors collaboration: analysis of individual data on lipid, inflammatory and other markers in over 1.1 million participants in 104 prospective studies of cardiovascular diseases
    • The Emerging Risk Factors Collaboration (2007) The emerging risk factors collaboration: analysis of individual data on lipid, inflammatory and other markers in over 1.1 million participants in 104 prospective studies of cardiovascular diseases. European Journal of Epidemiology 22: 839–869. 17876711
    • (2007) European Journal of Epidemiology , vol.22 , pp. 839-869
  • 34
    • 84866440887 scopus 로고    scopus 로고
    • Aggregating published prediction models with individual participant data: a comparison of different approaches
    • Debray TPA, Koffijberg H, Vergouwe Y, Moons KG, Steyerberg EW, (2012) Aggregating published prediction models with individual participant data: a comparison of different approaches. Statistics in Medicine 31: 2697–2712. doi: 10.1002/sim.5412 22733546
    • (2012) Statistics in Medicine , vol.31 , pp. 2697-2712
    • Debray, T.P.A.1    Koffijberg, H.2    Vergouwe, Y.3    Moons, K.G.4    Steyerberg, E.W.5
  • 35
    • 84908330513 scopus 로고    scopus 로고
    • Critical appraisal and data extraction for systematic reviews of clinical prediction modelling studies: The CHARMS checklist
    • Moons KGM, de Groot JAH, Bouwmeester W, Vergouwe Y, Mallett S, et al. (2014) Critical appraisal and data extraction for systematic reviews of clinical prediction modelling studies: The CHARMS checklist. PLoS Medicine 11: e1001744. doi: 10.1371/journal.pmed.1001744 25314315
    • (2014) PLoS Medicine , vol.11 , pp. 1001744
    • Moons, K.G.M.1    de Groot, J.A.H.2    Bouwmeester, W.3    Vergouwe, Y.4    Mallett, S.5
  • 36
    • 0034731813 scopus 로고    scopus 로고
    • Prognostic models based on literature and individual patient data in logistic regression analysis
    • Steyerberg EW, Eijkemans MJ, Van Houwelingen JC, Lee KL, Habbema JD, (2000) Prognostic models based on literature and individual patient data in logistic regression analysis. Statistics in Medicine 19: 141–160. doi: 10.1002/(SICI)1097-0258(20000130)19:2<141::AID-SIM334>3.0.CO;2-O 10641021
    • (2000) Statistics in Medicine , vol.19 , pp. 141-160
    • Steyerberg, E.W.1    Eijkemans, M.J.2    Van Houwelingen, J.C.3    Lee, K.L.4    Habbema, J.D.5
  • 37
    • 84926444242 scopus 로고    scopus 로고
    • Imputation of systematically missing predictors in an individual participant data meta-analysis: a generalized approach using MICE
    • Jolani S, Debray TPA, Koffijberg H, van Buuren S, Moons KGM, (2015) Imputation of systematically missing predictors in an individual participant data meta-analysis: a generalized approach using MICE. Statistics in Medicine 34: 1841–1863. doi: 10.1002/sim.6451 25663182
    • (2015) Statistics in Medicine , vol.34 , pp. 1841-1863
    • Jolani, S.1    Debray, T.P.A.2    Koffijberg, H.3    van Buuren, S.4    Moons, K.G.M.5
  • 38
    • 84887138473 scopus 로고    scopus 로고
    • Multiple imputation for handling systematically missing confounders in meta-analysis of individual participant data
    • Resche-Rigon M, White IR, Bartlett JW, Peters SAE, Thompson SG, (2013) Multiple imputation for handling systematically missing confounders in meta-analysis of individual participant data. Statistics in Medicine 32: 4890–4905. doi: 10.1002/sim.5894 23857554
    • (2013) Statistics in Medicine , vol.32 , pp. 4890-4905
    • Resche-Rigon, M.1    White, I.R.2    Bartlett, J.W.3    Peters, S.A.E.4    Thompson, S.G.5
  • 39
    • 65649135034 scopus 로고    scopus 로고
    • Systematically missing confounders in individual participant data meta-analysis of observational cohort studies
    • The Fibrinogen Studies Collaboration (2009) Systematically missing confounders in individual participant data meta-analysis of observational cohort studies. Statistics in Medicine 28: 1218–1237. doi: 10.1002/sim.3540 19222087
    • (2009) Statistics in Medicine , vol.28 , pp. 1218-1237
  • 40
    • 84952630758 scopus 로고    scopus 로고
    • Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model
    • Snell K, Hui H, Debray T, Ensor J, Look M, et al. (2015) Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model. Journal of Clinical Epidemiology. E-pub ahead of print. doi: 10.1016/j.jclinepi.2015.05.009
    • (2015) Journal of Clinical Epidemiology
    • Snell, K.1    Hui, H.2    Debray, T.3    Ensor, J.4    Look, M.5
  • 41
    • 84923527988 scopus 로고    scopus 로고
    • A new framework to enhance the interpretation of external validation studies of clinical prediction models
    • Debray TPA, Vergouwe Y, Koffijberg H, Nieboer D, Steyerberg EW, et al. (2015) A new framework to enhance the interpretation of external validation studies of clinical prediction models. Journal of Clinical Epidemiology 68: 279–289. doi: 10.1016/j.jclinepi.2014.06.018 25179855
    • (2015) Journal of Clinical Epidemiology , vol.68 , pp. 279-289
    • Debray, T.P.A.1    Vergouwe, Y.2    Koffijberg, H.3    Nieboer, D.4    Steyerberg, E.W.5
  • 42
    • 84952631019 scopus 로고    scopus 로고
    • Prediction models need appropriate internal, internal-external, and external validation
    • Steyerberg EW, Harrell FEJ, (2015) Prediction models need appropriate internal, internal-external, and external validation. Journal of Clinical Epidemiology. E-pub ahead of print. doi: 10.1016/j.jclinepi.2015.04.005
    • (2015) Journal of Clinical Epidemiology
    • Steyerberg, E.W.1    Harrell, F.E.J.2
  • 43
    • 68549101842 scopus 로고    scopus 로고
    • The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration
    • Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, et al. (2009) The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. British Medical Journal 339: b2700. doi: 10.1136/bmj.b2700 19622552
    • (2009) British Medical Journal , vol.339 , pp. 2700
    • Liberati, A.1    Altman, D.G.2    Tetzlaff, J.3    Mulrow, C.4    Gøtzsche, P.C.5
  • 44
    • 84928753669 scopus 로고    scopus 로고
    • Preferred reporting items for a systematic review and meta-analysis of individual participant data: The PRISMA-IPD statement
    • Stewart LA, Clarke M, Rovers M, Riley RD, Simmonds M, et al. (2015) Preferred reporting items for a systematic review and meta-analysis of individual participant data: The PRISMA-IPD statement. Journal of the American Medical Association 313: 1657–1665. doi: 10.1001/jama.2015.3656 25919529
    • (2015) Journal of the American Medical Association , vol.313 , pp. 1657-1665
    • Stewart, L.A.1    Clarke, M.2    Rovers, M.3    Riley, R.D.4    Simmonds, M.5
  • 45
    • 84920623458 scopus 로고    scopus 로고
    • Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): Explanation and elaboration
    • Moons KGM, Altman DG, Reitsma JB, Ioannidis JPA, Macaskill P, et al. (2015) Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): Explanation and elaboration. Annals of Internal Medicine 162: W1–W73. doi: 10.7326/M14-0698 25560730
    • (2015) Annals of Internal Medicine , vol.162 , pp. 1-73
    • Moons, K.G.M.1    Altman, D.G.2    Reitsma, J.B.3    Ioannidis, J.P.A.4    Macaskill, P.5


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