Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups: Meta-analysis of individual patient data

Robert Haase, Peter Schlattmann, Pascal Gueret, Daniele Andreini, Gianluca Pontone, Hatem Alkadhi, Jörg Hausleiter, Mario J. Garcia, Sebastian Leschka, Willem B. Meijboom, Elke Zimmermann, Bernhard Gerber, U. Joseph Schoepf, Abbas A. Shabestari, Bjarne L. Nørgaard, Matthijs F.L. Meijs, Akira Sato, Kristian A. Ovrehus, Axel C.P. Diederichsen, Shona M.M. JenkinsJuhani Knuuti, Ashraf Hamdan, Bjørn A. Halvorsen, Vladimir Mendoza-Rodriguez, Carlos E. Rochitte, Johannes Rixe, Yung Liang Wan, Christoph Langer, Nuno Bettencourt, Eugenio Martuscelli, Said Ghostine, Ronny R. Buechel, Konstantin Nikolaou, Hans Mickley, Lin Yang, Zhaqoi Zhang, Marcus Y. Chen, David A. Halon, Matthias Rief, Kai Sun, Beatrice Hirt-Moch, Hiroyuki Niinuma, Roy P. Marcus, Simone Muraglia, Réda Jakamy, Benjamin J. Chow, Philipp A. Kaufmann, Jean Claude Tardif, Cesar Nomura, Klaus F. Kofoed, Jean Pierre Laissy, Armin Arbab-Zadeh, Kakuya Kitagawa, Roger Laham, Masahiro Jinzaki, John Hoe, Frank J. Rybicki, Arthur Scholte, Narinder Paul, Swee Y. Tan, Kunihiro Yoshioka, Robert Röhle, Georg M. Schuetz, Sabine Schueler, Maria H. Coenen, Viktoria Wieske, Stephan Achenbach, Matthew J. Budoff, Michael Laule, David E. Newby, Marc Dewey

Research output: Contribution to journalArticle

Abstract

Objective To determine whether coronary computed tomography angiography (CTA) should be performed in patients with any clinical probability of coronary artery disease (CAD), and whether the diagnostic performance differs between subgroups of patients. Design Prospectively designed meta-analysis of individual patient data from prospective diagnostic accuracy studies. Data sources Medline, Embase, and Web of Science for published studies. Unpublished studies were identified via direct contact with participating investigators. Eligibility criteria for selecting studies Prospective diagnostic accuracy studies that compared coronary CTA with coronary angiography as the reference standard, using at least a 50% diameter reduction as a cutoff value for obstructive CAD. All patients needed to have a clinical indication for coronary angiography due to suspected CAD, and both tests had to be performed in all patients. Results had to be provided using 2×2 or 3×2 cross tabulations for the comparison of CTA with coronary angiography. Primary outcomes were the positive and negative predictive values of CTA as a function of clinical pretest probability of obstructive CAD, analysed by a generalised linear mixed model; calculations were performed including and excluding non-diagnostic CTA results. The no-treat/treat threshold model was used to determine the range of appropriate pretest probabilities for CTA. The threshold model was based on obtained post-test probabilities of less than 15% in case of negative CTA and above 50% in case of positive CTA. Sex, angina pectoris type, age, and number of computed tomography detector rows were used as clinical variables to analyse the diagnostic performance in relevant subgroups. Results Individual patient data from 5332 patients from 65 prospective diagnostic accuracy studies were retrieved. For a pretest probability range of 7-67%, the treat threshold of more than 50% and the no-treat threshold of less than 15% post-test probability were obtained using CTA. At a pretest probability of 7%, the positive predictive value of CTA was 50.9% (95% confidence interval 43.3% to 57.7%) and the negative predictive value of CTA was 97.8% (96.4% to 98.7%); corresponding values at a pretest probability of 67% were 82.7% (78.3% to 86.2%) and 85.0% (80.2% to 88.9%), respectively. The overall sensitivity of CTA was 95.2% (92.6% to 96.9%) and the specificity was 79.2% (74.9% to 82.9%). CTA using more than 64 detector rows was associated with a higher empirical sensitivity than CTA using up to 64 rows (93.4% v 86.5%, P=0.002) and specificity (84.4% v 72.6%, P<0.001). The area under the receiver-operating-characteristic curve for CTA was 0.897 (0.889 to 0.906), and the diagnostic performance of CTA was slightly lower in women than in with men (area under the curve 0.874 (0.858 to 0.890) v 0.907 (0.897 to 0.916), P<0.001). The diagnostic performance of CTA was slightly lower in patients older than 75 (0.864 (0.834 to 0.894), P=0.018 v all other age groups) and was not significantly influenced by angina pectoris type (typical angina 0.895 (0.873 to 0.917), atypical angina 0.898 (0.884 to 0.913), non-anginal chest pain 0.884 (0.870 to 0.899), other chest discomfort 0.915 (0.897 to 0.934)). Conclusions In a no-treat/treat threshold model, the diagnosis of obstructive CAD using coronary CTA in patients with stable chest pain was most accurate when the clinical pretest probability was between 7% and 67%. Performance of CTA was not influenced by the angina pectoris type and was slightly higher in men and lower in older patients. Systematic review registration PROSPERO CRD42012002780.

Original languageEnglish (US)
Article numberel1945
JournalBMJ (Online)
Volume365
DOIs
StatePublished - Jan 1 2019

Fingerprint

Chest Pain
Meta-Analysis
Coronary Artery Disease
Angina Pectoris
Coronary Angiography
Computed Tomography Angiography
Information Storage and Retrieval
ROC Curve

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups : Meta-analysis of individual patient data. / Haase, Robert; Schlattmann, Peter; Gueret, Pascal; Andreini, Daniele; Pontone, Gianluca; Alkadhi, Hatem; Hausleiter, Jörg; Garcia, Mario J.; Leschka, Sebastian; Meijboom, Willem B.; Zimmermann, Elke; Gerber, Bernhard; Schoepf, U. Joseph; Shabestari, Abbas A.; Nørgaard, Bjarne L.; Meijs, Matthijs F.L.; Sato, Akira; Ovrehus, Kristian A.; Diederichsen, Axel C.P.; Jenkins, Shona M.M.; Knuuti, Juhani; Hamdan, Ashraf; Halvorsen, Bjørn A.; Mendoza-Rodriguez, Vladimir; Rochitte, Carlos E.; Rixe, Johannes; Wan, Yung Liang; Langer, Christoph; Bettencourt, Nuno; Martuscelli, Eugenio; Ghostine, Said; Buechel, Ronny R.; Nikolaou, Konstantin; Mickley, Hans; Yang, Lin; Zhang, Zhaqoi; Chen, Marcus Y.; Halon, David A.; Rief, Matthias; Sun, Kai; Hirt-Moch, Beatrice; Niinuma, Hiroyuki; Marcus, Roy P.; Muraglia, Simone; Jakamy, Réda; Chow, Benjamin J.; Kaufmann, Philipp A.; Tardif, Jean Claude; Nomura, Cesar; Kofoed, Klaus F.; Laissy, Jean Pierre; Arbab-Zadeh, Armin; Kitagawa, Kakuya; Laham, Roger; Jinzaki, Masahiro; Hoe, John; Rybicki, Frank J.; Scholte, Arthur; Paul, Narinder; Tan, Swee Y.; Yoshioka, Kunihiro; Röhle, Robert; Schuetz, Georg M.; Schueler, Sabine; Coenen, Maria H.; Wieske, Viktoria; Achenbach, Stephan; Budoff, Matthew J.; Laule, Michael; Newby, David E.; Dewey, Marc.

In: BMJ (Online), Vol. 365, el1945, 01.01.2019.

Research output: Contribution to journalArticle

Haase, R, Schlattmann, P, Gueret, P, Andreini, D, Pontone, G, Alkadhi, H, Hausleiter, J, Garcia, MJ, Leschka, S, Meijboom, WB, Zimmermann, E, Gerber, B, Schoepf, UJ, Shabestari, AA, Nørgaard, BL, Meijs, MFL, Sato, A, Ovrehus, KA, Diederichsen, ACP, Jenkins, SMM, Knuuti, J, Hamdan, A, Halvorsen, BA, Mendoza-Rodriguez, V, Rochitte, CE, Rixe, J, Wan, YL, Langer, C, Bettencourt, N, Martuscelli, E, Ghostine, S, Buechel, RR, Nikolaou, K, Mickley, H, Yang, L, Zhang, Z, Chen, MY, Halon, DA, Rief, M, Sun, K, Hirt-Moch, B, Niinuma, H, Marcus, RP, Muraglia, S, Jakamy, R, Chow, BJ, Kaufmann, PA, Tardif, JC, Nomura, C, Kofoed, KF, Laissy, JP, Arbab-Zadeh, A, Kitagawa, K, Laham, R, Jinzaki, M, Hoe, J, Rybicki, FJ, Scholte, A, Paul, N, Tan, SY, Yoshioka, K, Röhle, R, Schuetz, GM, Schueler, S, Coenen, MH, Wieske, V, Achenbach, S, Budoff, MJ, Laule, M, Newby, DE & Dewey, M 2019, 'Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups: Meta-analysis of individual patient data', BMJ (Online), vol. 365, el1945. https://doi.org/10.1136/bmj.l1945
Haase, Robert ; Schlattmann, Peter ; Gueret, Pascal ; Andreini, Daniele ; Pontone, Gianluca ; Alkadhi, Hatem ; Hausleiter, Jörg ; Garcia, Mario J. ; Leschka, Sebastian ; Meijboom, Willem B. ; Zimmermann, Elke ; Gerber, Bernhard ; Schoepf, U. Joseph ; Shabestari, Abbas A. ; Nørgaard, Bjarne L. ; Meijs, Matthijs F.L. ; Sato, Akira ; Ovrehus, Kristian A. ; Diederichsen, Axel C.P. ; Jenkins, Shona M.M. ; Knuuti, Juhani ; Hamdan, Ashraf ; Halvorsen, Bjørn A. ; Mendoza-Rodriguez, Vladimir ; Rochitte, Carlos E. ; Rixe, Johannes ; Wan, Yung Liang ; Langer, Christoph ; Bettencourt, Nuno ; Martuscelli, Eugenio ; Ghostine, Said ; Buechel, Ronny R. ; Nikolaou, Konstantin ; Mickley, Hans ; Yang, Lin ; Zhang, Zhaqoi ; Chen, Marcus Y. ; Halon, David A. ; Rief, Matthias ; Sun, Kai ; Hirt-Moch, Beatrice ; Niinuma, Hiroyuki ; Marcus, Roy P. ; Muraglia, Simone ; Jakamy, Réda ; Chow, Benjamin J. ; Kaufmann, Philipp A. ; Tardif, Jean Claude ; Nomura, Cesar ; Kofoed, Klaus F. ; Laissy, Jean Pierre ; Arbab-Zadeh, Armin ; Kitagawa, Kakuya ; Laham, Roger ; Jinzaki, Masahiro ; Hoe, John ; Rybicki, Frank J. ; Scholte, Arthur ; Paul, Narinder ; Tan, Swee Y. ; Yoshioka, Kunihiro ; Röhle, Robert ; Schuetz, Georg M. ; Schueler, Sabine ; Coenen, Maria H. ; Wieske, Viktoria ; Achenbach, Stephan ; Budoff, Matthew J. ; Laule, Michael ; Newby, David E. ; Dewey, Marc. / Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups : Meta-analysis of individual patient data. In: BMJ (Online). 2019 ; Vol. 365.
@article{75a3d464873a482ab5768694ecf2225b,
title = "Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups: Meta-analysis of individual patient data",
abstract = "Objective To determine whether coronary computed tomography angiography (CTA) should be performed in patients with any clinical probability of coronary artery disease (CAD), and whether the diagnostic performance differs between subgroups of patients. Design Prospectively designed meta-analysis of individual patient data from prospective diagnostic accuracy studies. Data sources Medline, Embase, and Web of Science for published studies. Unpublished studies were identified via direct contact with participating investigators. Eligibility criteria for selecting studies Prospective diagnostic accuracy studies that compared coronary CTA with coronary angiography as the reference standard, using at least a 50{\%} diameter reduction as a cutoff value for obstructive CAD. All patients needed to have a clinical indication for coronary angiography due to suspected CAD, and both tests had to be performed in all patients. Results had to be provided using 2×2 or 3×2 cross tabulations for the comparison of CTA with coronary angiography. Primary outcomes were the positive and negative predictive values of CTA as a function of clinical pretest probability of obstructive CAD, analysed by a generalised linear mixed model; calculations were performed including and excluding non-diagnostic CTA results. The no-treat/treat threshold model was used to determine the range of appropriate pretest probabilities for CTA. The threshold model was based on obtained post-test probabilities of less than 15{\%} in case of negative CTA and above 50{\%} in case of positive CTA. Sex, angina pectoris type, age, and number of computed tomography detector rows were used as clinical variables to analyse the diagnostic performance in relevant subgroups. Results Individual patient data from 5332 patients from 65 prospective diagnostic accuracy studies were retrieved. For a pretest probability range of 7-67{\%}, the treat threshold of more than 50{\%} and the no-treat threshold of less than 15{\%} post-test probability were obtained using CTA. At a pretest probability of 7{\%}, the positive predictive value of CTA was 50.9{\%} (95{\%} confidence interval 43.3{\%} to 57.7{\%}) and the negative predictive value of CTA was 97.8{\%} (96.4{\%} to 98.7{\%}); corresponding values at a pretest probability of 67{\%} were 82.7{\%} (78.3{\%} to 86.2{\%}) and 85.0{\%} (80.2{\%} to 88.9{\%}), respectively. The overall sensitivity of CTA was 95.2{\%} (92.6{\%} to 96.9{\%}) and the specificity was 79.2{\%} (74.9{\%} to 82.9{\%}). CTA using more than 64 detector rows was associated with a higher empirical sensitivity than CTA using up to 64 rows (93.4{\%} v 86.5{\%}, P=0.002) and specificity (84.4{\%} v 72.6{\%}, P<0.001). The area under the receiver-operating-characteristic curve for CTA was 0.897 (0.889 to 0.906), and the diagnostic performance of CTA was slightly lower in women than in with men (area under the curve 0.874 (0.858 to 0.890) v 0.907 (0.897 to 0.916), P<0.001). The diagnostic performance of CTA was slightly lower in patients older than 75 (0.864 (0.834 to 0.894), P=0.018 v all other age groups) and was not significantly influenced by angina pectoris type (typical angina 0.895 (0.873 to 0.917), atypical angina 0.898 (0.884 to 0.913), non-anginal chest pain 0.884 (0.870 to 0.899), other chest discomfort 0.915 (0.897 to 0.934)). Conclusions In a no-treat/treat threshold model, the diagnosis of obstructive CAD using coronary CTA in patients with stable chest pain was most accurate when the clinical pretest probability was between 7{\%} and 67{\%}. Performance of CTA was not influenced by the angina pectoris type and was slightly higher in men and lower in older patients. Systematic review registration PROSPERO CRD42012002780.",
author = "Robert Haase and Peter Schlattmann and Pascal Gueret and Daniele Andreini and Gianluca Pontone and Hatem Alkadhi and J{\"o}rg Hausleiter and Garcia, {Mario J.} and Sebastian Leschka and Meijboom, {Willem B.} and Elke Zimmermann and Bernhard Gerber and Schoepf, {U. Joseph} and Shabestari, {Abbas A.} and N{\o}rgaard, {Bjarne L.} and Meijs, {Matthijs F.L.} and Akira Sato and Ovrehus, {Kristian A.} and Diederichsen, {Axel C.P.} and Jenkins, {Shona M.M.} and Juhani Knuuti and Ashraf Hamdan and Halvorsen, {Bj{\o}rn A.} and Vladimir Mendoza-Rodriguez and Rochitte, {Carlos E.} and Johannes Rixe and Wan, {Yung Liang} and Christoph Langer and Nuno Bettencourt and Eugenio Martuscelli and Said Ghostine and Buechel, {Ronny R.} and Konstantin Nikolaou and Hans Mickley and Lin Yang and Zhaqoi Zhang and Chen, {Marcus Y.} and Halon, {David A.} and Matthias Rief and Kai Sun and Beatrice Hirt-Moch and Hiroyuki Niinuma and Marcus, {Roy P.} and Simone Muraglia and R{\'e}da Jakamy and Chow, {Benjamin J.} and Kaufmann, {Philipp A.} and Tardif, {Jean Claude} and Cesar Nomura and Kofoed, {Klaus F.} and Laissy, {Jean Pierre} and Armin Arbab-Zadeh and Kakuya Kitagawa and Roger Laham and Masahiro Jinzaki and John Hoe and Rybicki, {Frank J.} and Arthur Scholte and Narinder Paul and Tan, {Swee Y.} and Kunihiro Yoshioka and Robert R{\"o}hle and Schuetz, {Georg M.} and Sabine Schueler and Coenen, {Maria H.} and Viktoria Wieske and Stephan Achenbach and Budoff, {Matthew J.} and Michael Laule and Newby, {David E.} and Marc Dewey",
year = "2019",
month = "1",
day = "1",
doi = "10.1136/bmj.l1945",
language = "English (US)",
volume = "365",
journal = "BMJ (Online)",
issn = "0959-8146",
publisher = "BMJ Publishing Group",

}

TY - JOUR

T1 - Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups

T2 - Meta-analysis of individual patient data

AU - Haase, Robert

AU - Schlattmann, Peter

AU - Gueret, Pascal

AU - Andreini, Daniele

AU - Pontone, Gianluca

AU - Alkadhi, Hatem

AU - Hausleiter, Jörg

AU - Garcia, Mario J.

AU - Leschka, Sebastian

AU - Meijboom, Willem B.

AU - Zimmermann, Elke

AU - Gerber, Bernhard

AU - Schoepf, U. Joseph

AU - Shabestari, Abbas A.

AU - Nørgaard, Bjarne L.

AU - Meijs, Matthijs F.L.

AU - Sato, Akira

AU - Ovrehus, Kristian A.

AU - Diederichsen, Axel C.P.

AU - Jenkins, Shona M.M.

AU - Knuuti, Juhani

AU - Hamdan, Ashraf

AU - Halvorsen, Bjørn A.

AU - Mendoza-Rodriguez, Vladimir

AU - Rochitte, Carlos E.

AU - Rixe, Johannes

AU - Wan, Yung Liang

AU - Langer, Christoph

AU - Bettencourt, Nuno

AU - Martuscelli, Eugenio

AU - Ghostine, Said

AU - Buechel, Ronny R.

AU - Nikolaou, Konstantin

AU - Mickley, Hans

AU - Yang, Lin

AU - Zhang, Zhaqoi

AU - Chen, Marcus Y.

AU - Halon, David A.

AU - Rief, Matthias

AU - Sun, Kai

AU - Hirt-Moch, Beatrice

AU - Niinuma, Hiroyuki

AU - Marcus, Roy P.

AU - Muraglia, Simone

AU - Jakamy, Réda

AU - Chow, Benjamin J.

AU - Kaufmann, Philipp A.

AU - Tardif, Jean Claude

AU - Nomura, Cesar

AU - Kofoed, Klaus F.

AU - Laissy, Jean Pierre

AU - Arbab-Zadeh, Armin

AU - Kitagawa, Kakuya

AU - Laham, Roger

AU - Jinzaki, Masahiro

AU - Hoe, John

AU - Rybicki, Frank J.

AU - Scholte, Arthur

AU - Paul, Narinder

AU - Tan, Swee Y.

AU - Yoshioka, Kunihiro

AU - Röhle, Robert

AU - Schuetz, Georg M.

AU - Schueler, Sabine

AU - Coenen, Maria H.

AU - Wieske, Viktoria

AU - Achenbach, Stephan

AU - Budoff, Matthew J.

AU - Laule, Michael

AU - Newby, David E.

AU - Dewey, Marc

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Objective To determine whether coronary computed tomography angiography (CTA) should be performed in patients with any clinical probability of coronary artery disease (CAD), and whether the diagnostic performance differs between subgroups of patients. Design Prospectively designed meta-analysis of individual patient data from prospective diagnostic accuracy studies. Data sources Medline, Embase, and Web of Science for published studies. Unpublished studies were identified via direct contact with participating investigators. Eligibility criteria for selecting studies Prospective diagnostic accuracy studies that compared coronary CTA with coronary angiography as the reference standard, using at least a 50% diameter reduction as a cutoff value for obstructive CAD. All patients needed to have a clinical indication for coronary angiography due to suspected CAD, and both tests had to be performed in all patients. Results had to be provided using 2×2 or 3×2 cross tabulations for the comparison of CTA with coronary angiography. Primary outcomes were the positive and negative predictive values of CTA as a function of clinical pretest probability of obstructive CAD, analysed by a generalised linear mixed model; calculations were performed including and excluding non-diagnostic CTA results. The no-treat/treat threshold model was used to determine the range of appropriate pretest probabilities for CTA. The threshold model was based on obtained post-test probabilities of less than 15% in case of negative CTA and above 50% in case of positive CTA. Sex, angina pectoris type, age, and number of computed tomography detector rows were used as clinical variables to analyse the diagnostic performance in relevant subgroups. Results Individual patient data from 5332 patients from 65 prospective diagnostic accuracy studies were retrieved. For a pretest probability range of 7-67%, the treat threshold of more than 50% and the no-treat threshold of less than 15% post-test probability were obtained using CTA. At a pretest probability of 7%, the positive predictive value of CTA was 50.9% (95% confidence interval 43.3% to 57.7%) and the negative predictive value of CTA was 97.8% (96.4% to 98.7%); corresponding values at a pretest probability of 67% were 82.7% (78.3% to 86.2%) and 85.0% (80.2% to 88.9%), respectively. The overall sensitivity of CTA was 95.2% (92.6% to 96.9%) and the specificity was 79.2% (74.9% to 82.9%). CTA using more than 64 detector rows was associated with a higher empirical sensitivity than CTA using up to 64 rows (93.4% v 86.5%, P=0.002) and specificity (84.4% v 72.6%, P<0.001). The area under the receiver-operating-characteristic curve for CTA was 0.897 (0.889 to 0.906), and the diagnostic performance of CTA was slightly lower in women than in with men (area under the curve 0.874 (0.858 to 0.890) v 0.907 (0.897 to 0.916), P<0.001). The diagnostic performance of CTA was slightly lower in patients older than 75 (0.864 (0.834 to 0.894), P=0.018 v all other age groups) and was not significantly influenced by angina pectoris type (typical angina 0.895 (0.873 to 0.917), atypical angina 0.898 (0.884 to 0.913), non-anginal chest pain 0.884 (0.870 to 0.899), other chest discomfort 0.915 (0.897 to 0.934)). Conclusions In a no-treat/treat threshold model, the diagnosis of obstructive CAD using coronary CTA in patients with stable chest pain was most accurate when the clinical pretest probability was between 7% and 67%. Performance of CTA was not influenced by the angina pectoris type and was slightly higher in men and lower in older patients. Systematic review registration PROSPERO CRD42012002780.

AB - Objective To determine whether coronary computed tomography angiography (CTA) should be performed in patients with any clinical probability of coronary artery disease (CAD), and whether the diagnostic performance differs between subgroups of patients. Design Prospectively designed meta-analysis of individual patient data from prospective diagnostic accuracy studies. Data sources Medline, Embase, and Web of Science for published studies. Unpublished studies were identified via direct contact with participating investigators. Eligibility criteria for selecting studies Prospective diagnostic accuracy studies that compared coronary CTA with coronary angiography as the reference standard, using at least a 50% diameter reduction as a cutoff value for obstructive CAD. All patients needed to have a clinical indication for coronary angiography due to suspected CAD, and both tests had to be performed in all patients. Results had to be provided using 2×2 or 3×2 cross tabulations for the comparison of CTA with coronary angiography. Primary outcomes were the positive and negative predictive values of CTA as a function of clinical pretest probability of obstructive CAD, analysed by a generalised linear mixed model; calculations were performed including and excluding non-diagnostic CTA results. The no-treat/treat threshold model was used to determine the range of appropriate pretest probabilities for CTA. The threshold model was based on obtained post-test probabilities of less than 15% in case of negative CTA and above 50% in case of positive CTA. Sex, angina pectoris type, age, and number of computed tomography detector rows were used as clinical variables to analyse the diagnostic performance in relevant subgroups. Results Individual patient data from 5332 patients from 65 prospective diagnostic accuracy studies were retrieved. For a pretest probability range of 7-67%, the treat threshold of more than 50% and the no-treat threshold of less than 15% post-test probability were obtained using CTA. At a pretest probability of 7%, the positive predictive value of CTA was 50.9% (95% confidence interval 43.3% to 57.7%) and the negative predictive value of CTA was 97.8% (96.4% to 98.7%); corresponding values at a pretest probability of 67% were 82.7% (78.3% to 86.2%) and 85.0% (80.2% to 88.9%), respectively. The overall sensitivity of CTA was 95.2% (92.6% to 96.9%) and the specificity was 79.2% (74.9% to 82.9%). CTA using more than 64 detector rows was associated with a higher empirical sensitivity than CTA using up to 64 rows (93.4% v 86.5%, P=0.002) and specificity (84.4% v 72.6%, P<0.001). The area under the receiver-operating-characteristic curve for CTA was 0.897 (0.889 to 0.906), and the diagnostic performance of CTA was slightly lower in women than in with men (area under the curve 0.874 (0.858 to 0.890) v 0.907 (0.897 to 0.916), P<0.001). The diagnostic performance of CTA was slightly lower in patients older than 75 (0.864 (0.834 to 0.894), P=0.018 v all other age groups) and was not significantly influenced by angina pectoris type (typical angina 0.895 (0.873 to 0.917), atypical angina 0.898 (0.884 to 0.913), non-anginal chest pain 0.884 (0.870 to 0.899), other chest discomfort 0.915 (0.897 to 0.934)). Conclusions In a no-treat/treat threshold model, the diagnosis of obstructive CAD using coronary CTA in patients with stable chest pain was most accurate when the clinical pretest probability was between 7% and 67%. Performance of CTA was not influenced by the angina pectoris type and was slightly higher in men and lower in older patients. Systematic review registration PROSPERO CRD42012002780.

UR - http://www.scopus.com/inward/record.url?scp=85067274664&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85067274664&partnerID=8YFLogxK

U2 - 10.1136/bmj.l1945

DO - 10.1136/bmj.l1945

M3 - Article

C2 - 31189617

AN - SCOPUS:85067274664

VL - 365

JO - BMJ (Online)

JF - BMJ (Online)

SN - 0959-8146

M1 - el1945

ER -