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Individual patient data meta-analysis for the clinical assessment of coronary computed tomography angiography: protocol of the Collaborative Meta-Analysis of Cardiac CT (CoMe-CCT).

Bibliographic reference Schuetz, Georg M ; Schlattmann, Peter ; Achenbach, Stephan ; Budoff, Matthew ; Garcia, Mario J ; et. al. Individual patient data meta-analysis for the clinical assessment of coronary computed tomography angiography: protocol of the Collaborative Meta-Analysis of Cardiac CT (CoMe-CCT).. In: Systematic reviews, Vol. 2, no. 1, p. 13 (2013)
Permanent URL http://hdl.handle.net/2078.1/124799
  1. , Roger V. L., Go A. S., Lloyd-Jones D. M., Benjamin E. J., Berry J. D., Borden W. B., Bravata D. M., Dai S., Ford E. S., Fox C. S., Fullerton H. J., Gillespie C., Hailpern S. M., Heit J. A., Howard V. J., Kissela B. M., Kittner S. J., Lackland D. T., Lichtman J. H., Lisabeth L. D., Makuc D. M., Marcus G. M., Marelli A., Matchar D. B., Moy C. S., Mozaffarian D., Mussolino M. E., Nichol G., Paynter N. P., Soliman E. Z., Sorlie P. D., Sotoodehnia N., Turan T. N., Virani S. S., Wong N. D., Woo D., Turner M. B., , , Heart Disease and Stroke Statistics--2012 Update: A Report From the American Heart Association, 10.1161/cir.0b013e31823ac046
  2. Leeflang Mariska M.G., Systematic Reviews of Diagnostic Test Accuracy, 10.7326/0003-4819-149-12-200812160-00008
  3. Meijboom W. Bob, van Mieghem Carlos A.G., Mollet Nico R., Pugliese Francesca, Weustink Annick C., van Pelt Niels, Cademartiri Filippo, Nieman Koen, Boersma Eric, de Jaegere Peter, Krestin Gabriel P., de Feyter Pim J., 64-Slice Computed Tomography Coronary Angiography in Patients With High, Intermediate, or Low Pretest Probability of Significant Coronary Artery Disease, 10.1016/j.jacc.2007.07.007
  4. Husmann Lars, Schepis Tiziano, Scheffel Hans, Gaemperli Oliver, Leschka Sebastian, Valenta Ines, Koepfli Pascal, Desbiolles Lotus, Stolzmann Paul, Marincek Borut, Alkadhi Hatem, Kaufmann Philipp A., Comparison of Diagnostic Accuracy of 64-Slice Computed Tomography Coronary Angiography in Patients with Low, Intermediate, and High Cardiovascular Risk, 10.1016/j.acra.2007.12.008
  5. Leber Alexander W., Johnson Thorsten, Becker Alexander, von Ziegler Franz, Tittus Janine, Nikolaou Konstantin, Reiser Maximilian, Steinbeck Gerhard, Becker Christoph R., Knez Andreas, Diagnostic accuracy of dual-source multi-slice CT-coronary angiography in patients with an intermediate pretest likelihood for coronary artery disease, 10.1093/eurheartj/ehm294
  6. Dewey Marc, Teige Florian, Schnapauff Dirk, Laule Michael, Borges Adrian C., Wernecke Klaus-Dieter, Schink Tania, Baumann Gert, Rutsch Wolfgang, Rogalla Patrik, Taupitz Matthias, Hamm Bernd, Noninvasive Detection of Coronary Artery Stenoses with Multislice Computed Tomography or Magnetic Resonance Imaging, 10.7326/0003-4819-145-6-200609190-00004
  7. Diamond George A., Forrester James S., Analysis of Probability as an Aid in the Clinical Diagnosis of Coronary-Artery Disease, 10.1056/nejm197906143002402
  8. Morise Anthony P., Haddad W.John, Beckner David, Development and Validation of a Clinical Score to Estimate the Probability of Coronary Artery Disease in Men and Women Presenting with Suspected Coronary Disease, 10.1016/s0002-9343(97)00086-7
  9. Pryor David B., Value of the History and Physical in Identifying Patients at Increased Risk for Coronary Artery Disease, 10.7326/0003-4819-118-2-199301150-00001
  10. Genders T. S. S., Steyerberg E. W., Alkadhi H., Leschka S., Desbiolles L., Nieman K., Galema T. W., Meijboom W. B., Mollet N. R., de Feyter P. J., Cademartiri F., Maffei E., Dewey M., Zimmermann E., Laule M., Pugliese F., Barbagallo R., Sinitsyn V., Bogaert J., Goetschalckx K., Schoepf U. J., Rowe G. W., Schuijf J. D., Bax J. J., de Graaf F. R., Knuuti J., Kajander S., van Mieghem C. A. G., Meijs M. F. L., Cramer M. J., Gopalan D., Feuchtner G., Friedrich G., Krestin G. P., Hunink M. G. M., , A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension, 10.1093/eurheartj/ehr014
  11. Genders T. S. S., Steyerberg E. W., Hunink M. G. M., Nieman K., Galema T. W., Mollet N. R., Feyter P. J. d., Krestin G. P., Alkadhi H., Leschka S., Desbiolles L., Meijs M. F. L., Cramer M. J., Knuuti J., Kajander S., Bogaert J., Goetschalckx K., Cademartiri F., Maffei E., Martini C., Seitun S., Aldrovandi A., Wildermuth S., Stinn B., Fornaro J., Feuchtner G., De Zordo T., Auer T., Plank F., Friedrich G., Pugliese F., Petersen S. E., Davies L. C., Schoepf U. J., Rowe G. W., van Mieghem C. A. G., van Driessche L., Sinitsyn V., Gopalan D., Nikolaou K., Bamberg F., Cury R. C., Battle J., Maurovich-Horvat P., Bartykowszki A., Merkely B., Becker D., Hadamitzky M., Hausleiter J., Dewey M., Zimmermann E., Laule M., Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts, 10.1136/bmj.e3485
  12. Schlattmann Peter, Schuetz Georg M., Dewey Marc, Influence of coronary artery disease prevalence on predictive values of coronary CT angiography: a meta-regression analysis, 10.1007/s00330-011-2142-2
  13. Schuetz Georg M., Meta-analysis: Noninvasive Coronary Angiography Using Computed Tomography Versus Magnetic Resonance Imaging, 10.7326/0003-4819-152-3-201002020-00008
  14. Riley R. D., Lambert P. C., Abo-Zaid G., Meta-analysis of individual participant data: rationale, conduct, and reporting, 10.1136/bmj.c221
  15. , Taylor A. J., Cerqueira M., Hodgson J. M., Mark D., Min J., O'Gara P., Rubin G. D., Kramer C. M., Wolk M. J., ACCF/SCCT/ACR/AHA/ASE/ASNC/NASCI/SCAI/SCMR 2010 Appropriate Use Criteria for Cardiac Computed Tomography: A Report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, the Society of Cardiovascular Computed Tomography, the American College of Radiology, the American Heart Association, the American Society of Echocardiography, the American Society of Nuclear Cardiology, the North American Society for Cardiovascular Imaging, the Society for Cardiovascular Angiography and Interventions, and the Society for Cardiovascular Magnetic Resonance, 10.1161/cir.0b013e3181fcae66
  16. Leschka Sebastian, Wildermuth Simon, Boehm Thomas, Desbiolles Lotus, Husmann Lars, Plass André, Koepfli Pascal, Schepis Tiziano, Marincek Borut, Kaufmann Philipp A., Alkadhi Hatem, Noninvasive Coronary Angiography with 64-Section CT: Effect of Average Heart Rate and Heart Rate Variability on Image Quality, 10.1148/radiol.2412051384
  17. Nieman K, Non-invasive coronary angiography with multislice spiral computed tomography: impact of heart rate, 10.1136/heart.88.5.470
  18. Raff Gilbert L., Gallagher Michael J., O’Neill William W., Goldstein James A., Diagnostic Accuracy of Noninvasive Coronary Angiography Using 64-Slice Spiral Computed Tomography, 10.1016/j.jacc.2005.05.056
  19. Chun Eun Ju, Lee Whal, Choi Young Hoon, Koo Bon-Kwon, Choi Sang Il, Jae Hwan Jun, Kim Hyo-Cheol, So Young Ho, Chung Jin Wook, Park Jae Hyung, Effects of Nitroglycerin on the Diagnostic Accuracy of Electrocardiogram-gated Coronary Computed Tomography Angiography : , 10.1097/rct.0b013e318059befa
  20. Dewey M, Hoffmann H, Hamm B, Multislice CT Coronary Angiography: Effect of Sublingual Nitroglycerine on the Diameter of Coronary Arteries, 10.1055/s-2006-926755
  21. Dewey M, Hoffmann H, Hamm B, CT Coronary Angiography Using 16 and 64 Simultaneous Detector Rows: Intraindividual Comparison, 10.1055/s-2007-963112
  22. Giesler Tom, Baum Ulrich, Ropers Dieter, Ulzheimer Stefan, Wenkel Evelyn, Mennicke Maria, Bautz Werner, Kalender Willi A., Daniel Werner G., Achenbach Stephan, Noninvasive Visualization of Coronary Arteries Using Contrast-Enhanced Multidetector CT: Influence of Heart Rate on Image Quality and Stenosis Detection, 10.2214/ajr.179.4.1790911
  23. Hausleiter J., Meyer T., Hadamitzky M., Zankl M., Gerein P., Dorrler K., Kastrati A., Martinoff S., Schomig A., Non-invasive coronary computed tomographic angiography for patients with suspected coronary artery disease: the Coronary Angiography by Computed Tomography with the Use of a Submillimeter resolution (CACTUS) trial, 10.1093/eurheartj/ehm150
  24. Herzog Christopher, Arning-Erb Maric, Zangos Stefan, Eichler Kathrin, Hammerstingl Renate, Dogan Selami, Ackermann Hanns, Vogl Thomas J., Multi–Detector Row CT Coronary Angiography: Influence of Reconstruction Technique and Heart Rate on Image Quality, 10.1148/radiol.2381041595
  25. Noto Thomas J., Johnson Lewis W., Krone Ronald, Weaver Walt F., Clark David A., Kramer John R., Vetrovec George W., Parker Justine J., , Cardiac catheterization 1990: A report of the registry of the society for cardiac angiography and interventions (SCA&I), 10.1002/ccd.1810240202
  26. Scanlon P. J., Faxon D. P., Audet A.-M., Carabello B., Dehmer G. J., Eagle K. A., Legako R. D., Leon D. F., Murray J. A., Nissen S. E., Pepine C. J., Watson R. M., Ritchie J. L., Gibbons R. J., Cheitlin M. D., Eagle K. A., Gardner T. J., Garson A., Russell R. O., Ryan T. J., Smith S. C., ACC/AHA Guidelines for Coronary Angiography: Executive Summary and Recommendations : A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee on Coronary Angiography) Developed in collaboration with the Society for Cardiac Angiography and Interventions, 10.1161/01.cir.99.17.2345
  27. Dewey Marc, Hamm Bernd, Cost effectiveness of coronary angiography and calcium scoring using CT and stress MRI for diagnosis of coronary artery disease, 10.1007/s00330-006-0439-3
  28. Booth Alison, Clarke Mike, Dooley Gordon, Ghersi Davina, Moher David, Petticrew Mark, Stewart Lesley, The nuts and bolts of PROSPERO: an international prospective register of systematic reviews, 10.1186/2046-4053-1-2
  29. Stewart Lesley, Moher David, Shekelle Paul, Why prospective registration of systematic reviews makes sense, 10.1186/2046-4053-1-7
  30. Schuetz G. M., Schlattmann P., Dewey M., Use of 3x2 tables with an intention to diagnose approach to assess clinical performance of diagnostic tests: meta-analytical evaluation of coronary CT angiography studies, 10.1136/bmj.e6717
  31. Whiting Penny, Rutjes Anne WS, Reitsma Johannes B, Bossuyt Patrick MM, Kleijnen Jos, The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews, 10.1186/1471-2288-3-25
  32. Chu Haitao, Cole Stephen R., Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach, 10.1016/j.jclinepi.2006.06.011
  33. Van Houwelingen Hans C., Zwinderman Koos H., Stijnen Theo, A bivariate approach to meta-analysis, 10.1002/sim.4780122405
  34. van Houwelingen Hans C., Arends Lidia R., Stijnen Theo, Advanced methods in meta-analysis: multivariate approach and meta-regression, 10.1002/sim.1040
  35. Reitsma Johannes B., Glas Afina S., Rutjes Anne W.S., Scholten Rob J.P.M., Bossuyt Patrick M., Zwinderman Aeilko H., Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews, 10.1016/j.jclinepi.2005.02.022
  36. Riley Richard D, Abrams Keith R, Sutton Alexander J, Lambert Paul C, Thompson John R, Bivariate random-effects meta-analysis and the estimation of between-study correlation, 10.1186/1471-2288-7-3
  37. Skrondal Anders, Rabe-Hesketh Sophia, Generalized Latent Variable Modeling : Multilevel, Longitudinal, and Structural Equation Models, ISBN:9781584880004, 10.1201/9780203489437
  38. Skrondal Anders, Rabe-Hesketh Sophia, Prediction in multilevel generalized linear models, 10.1111/j.1467-985x.2009.00587.x
  39. Lunn David J., Thomas Andrew, Best Nicky, Spiegelhalter David, 10.1023/a:1008929526011
  40. Iglehart John K., Health Insurers and Medical-Imaging Policy — A Work in Progress, 10.1056/nejmhpr0808703