Selective Cutoff Reporting in Studies of Diagnostic Test Accuracy: A Comparison of Conventional and Individual-Patient-Data Meta-Analyses of the Patient Health Questionnaire-9 Depression Screening Tool

Standard

Selective Cutoff Reporting in Studies of Diagnostic Test Accuracy: A Comparison of Conventional and Individual-Patient-Data Meta-Analyses of the Patient Health Questionnaire-9 Depression Screening Tool. / Levis, Brooke; Benedetti, Andrea; Levis, Alexander W; Ioannidis, John P A; Shrier, Ian; Cuijpers, Pim; Gilbody, Simon; Kloda, Lorie A; McMillan, Dean; Patten, Scott B; Steele, Russell J; Ziegelstein, Roy C; Bombardier, Charles H; de Lima Osório, Flavia; Fann, Jesse R; Gjerdingen, Dwenda; Lamers, Femke; Lotrakul, Manote; Loureiro, Sonia R; Löwe, Bernd; Shaaban, Juwita; Stafford, Lesley; van Weert, Henk C P M; Whooley, Mary A; Williams, Linda S; Wittkampf, Karin A; Yeung, Albert S; Thombs, Brett D.

in: AM J EPIDEMIOL, Jahrgang 185, Nr. 10, 15.05.2017, S. 954-964.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Levis, B, Benedetti, A, Levis, AW, Ioannidis, JPA, Shrier, I, Cuijpers, P, Gilbody, S, Kloda, LA, McMillan, D, Patten, SB, Steele, RJ, Ziegelstein, RC, Bombardier, CH, de Lima Osório, F, Fann, JR, Gjerdingen, D, Lamers, F, Lotrakul, M, Loureiro, SR, Löwe, B, Shaaban, J, Stafford, L, van Weert, HCPM, Whooley, MA, Williams, LS, Wittkampf, KA, Yeung, AS & Thombs, BD 2017, 'Selective Cutoff Reporting in Studies of Diagnostic Test Accuracy: A Comparison of Conventional and Individual-Patient-Data Meta-Analyses of the Patient Health Questionnaire-9 Depression Screening Tool', AM J EPIDEMIOL, Jg. 185, Nr. 10, S. 954-964. https://doi.org/10.1093/aje/kww191

APA

Levis, B., Benedetti, A., Levis, A. W., Ioannidis, J. P. A., Shrier, I., Cuijpers, P., Gilbody, S., Kloda, L. A., McMillan, D., Patten, S. B., Steele, R. J., Ziegelstein, R. C., Bombardier, C. H., de Lima Osório, F., Fann, J. R., Gjerdingen, D., Lamers, F., Lotrakul, M., Loureiro, S. R., ... Thombs, B. D. (2017). Selective Cutoff Reporting in Studies of Diagnostic Test Accuracy: A Comparison of Conventional and Individual-Patient-Data Meta-Analyses of the Patient Health Questionnaire-9 Depression Screening Tool. AM J EPIDEMIOL, 185(10), 954-964. https://doi.org/10.1093/aje/kww191

Vancouver

Bibtex

@article{26a8d59ddbc144f4a90a361f033073f9,
title = "Selective Cutoff Reporting in Studies of Diagnostic Test Accuracy: A Comparison of Conventional and Individual-Patient-Data Meta-Analyses of the Patient Health Questionnaire-9 Depression Screening Tool",
abstract = "In studies of diagnostic test accuracy, authors sometimes report results only for a range of cutoff points around data-driven {"}optimal{"} cutoffs. We assessed selective cutoff reporting in studies of the diagnostic accuracy of the Patient Health Questionnaire-9 (PHQ-9) depression screening tool. We compared conventional meta-analysis of published results only with individual-patient-data meta-analysis of results derived from all cutoff points, using data from 13 of 16 studies published during 2004-2009 that were included in a published conventional meta-analysis. For the {"}standard{"} PHQ-9 cutoff of 10, accuracy results had been published by 11 of the studies. For all other relevant cutoffs, 3-6 studies published accuracy results. For all cutoffs examined, specificity estimates in conventional and individual-patient-data meta-analyses were within 1% of each other. Sensitivity estimates were similar for the cutoff of 10 but differed by 5%-15% for other cutoffs. In samples where the PHQ-9 was poorly sensitive at the standard cutoff, authors tended to report results for lower cutoffs that yielded optimal results. When the PHQ-9 was highly sensitive, authors more often reported results for higher cutoffs. Consequently, in the conventional meta-analysis, sensitivity increased as cutoff severity increased across part of the cutoff range-an impossibility if all data are analyzed. In sum, selective reporting by primary study authors of only results from cutoffs that perform well in their study can bias accuracy estimates in meta-analyses of published results.",
keywords = "Bias, Data Accuracy, Depression, Diagnostic Techniques and Procedures, Epidemiologic Methods, Humans, Meta-Analysis as Topic, Sensitivity and Specificity, Journal Article",
author = "Brooke Levis and Andrea Benedetti and Levis, {Alexander W} and Ioannidis, {John P A} and Ian Shrier and Pim Cuijpers and Simon Gilbody and Kloda, {Lorie A} and Dean McMillan and Patten, {Scott B} and Steele, {Russell J} and Ziegelstein, {Roy C} and Bombardier, {Charles H} and {de Lima Os{\'o}rio}, Flavia and Fann, {Jesse R} and Dwenda Gjerdingen and Femke Lamers and Manote Lotrakul and Loureiro, {Sonia R} and Bernd L{\"o}we and Juwita Shaaban and Lesley Stafford and {van Weert}, {Henk C P M} and Whooley, {Mary A} and Williams, {Linda S} and Wittkampf, {Karin A} and Yeung, {Albert S} and Thombs, {Brett D}",
note = "{\textcopyright} The Author 2017. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.",
year = "2017",
month = may,
day = "15",
doi = "10.1093/aje/kww191",
language = "English",
volume = "185",
pages = "954--964",
journal = "AM J EPIDEMIOL",
issn = "0002-9262",
publisher = "Oxford University Press",
number = "10",

}

RIS

TY - JOUR

T1 - Selective Cutoff Reporting in Studies of Diagnostic Test Accuracy: A Comparison of Conventional and Individual-Patient-Data Meta-Analyses of the Patient Health Questionnaire-9 Depression Screening Tool

AU - Levis, Brooke

AU - Benedetti, Andrea

AU - Levis, Alexander W

AU - Ioannidis, John P A

AU - Shrier, Ian

AU - Cuijpers, Pim

AU - Gilbody, Simon

AU - Kloda, Lorie A

AU - McMillan, Dean

AU - Patten, Scott B

AU - Steele, Russell J

AU - Ziegelstein, Roy C

AU - Bombardier, Charles H

AU - de Lima Osório, Flavia

AU - Fann, Jesse R

AU - Gjerdingen, Dwenda

AU - Lamers, Femke

AU - Lotrakul, Manote

AU - Loureiro, Sonia R

AU - Löwe, Bernd

AU - Shaaban, Juwita

AU - Stafford, Lesley

AU - van Weert, Henk C P M

AU - Whooley, Mary A

AU - Williams, Linda S

AU - Wittkampf, Karin A

AU - Yeung, Albert S

AU - Thombs, Brett D

N1 - © The Author 2017. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

PY - 2017/5/15

Y1 - 2017/5/15

N2 - In studies of diagnostic test accuracy, authors sometimes report results only for a range of cutoff points around data-driven "optimal" cutoffs. We assessed selective cutoff reporting in studies of the diagnostic accuracy of the Patient Health Questionnaire-9 (PHQ-9) depression screening tool. We compared conventional meta-analysis of published results only with individual-patient-data meta-analysis of results derived from all cutoff points, using data from 13 of 16 studies published during 2004-2009 that were included in a published conventional meta-analysis. For the "standard" PHQ-9 cutoff of 10, accuracy results had been published by 11 of the studies. For all other relevant cutoffs, 3-6 studies published accuracy results. For all cutoffs examined, specificity estimates in conventional and individual-patient-data meta-analyses were within 1% of each other. Sensitivity estimates were similar for the cutoff of 10 but differed by 5%-15% for other cutoffs. In samples where the PHQ-9 was poorly sensitive at the standard cutoff, authors tended to report results for lower cutoffs that yielded optimal results. When the PHQ-9 was highly sensitive, authors more often reported results for higher cutoffs. Consequently, in the conventional meta-analysis, sensitivity increased as cutoff severity increased across part of the cutoff range-an impossibility if all data are analyzed. In sum, selective reporting by primary study authors of only results from cutoffs that perform well in their study can bias accuracy estimates in meta-analyses of published results.

AB - In studies of diagnostic test accuracy, authors sometimes report results only for a range of cutoff points around data-driven "optimal" cutoffs. We assessed selective cutoff reporting in studies of the diagnostic accuracy of the Patient Health Questionnaire-9 (PHQ-9) depression screening tool. We compared conventional meta-analysis of published results only with individual-patient-data meta-analysis of results derived from all cutoff points, using data from 13 of 16 studies published during 2004-2009 that were included in a published conventional meta-analysis. For the "standard" PHQ-9 cutoff of 10, accuracy results had been published by 11 of the studies. For all other relevant cutoffs, 3-6 studies published accuracy results. For all cutoffs examined, specificity estimates in conventional and individual-patient-data meta-analyses were within 1% of each other. Sensitivity estimates were similar for the cutoff of 10 but differed by 5%-15% for other cutoffs. In samples where the PHQ-9 was poorly sensitive at the standard cutoff, authors tended to report results for lower cutoffs that yielded optimal results. When the PHQ-9 was highly sensitive, authors more often reported results for higher cutoffs. Consequently, in the conventional meta-analysis, sensitivity increased as cutoff severity increased across part of the cutoff range-an impossibility if all data are analyzed. In sum, selective reporting by primary study authors of only results from cutoffs that perform well in their study can bias accuracy estimates in meta-analyses of published results.

KW - Bias

KW - Data Accuracy

KW - Depression

KW - Diagnostic Techniques and Procedures

KW - Epidemiologic Methods

KW - Humans

KW - Meta-Analysis as Topic

KW - Sensitivity and Specificity

KW - Journal Article

U2 - 10.1093/aje/kww191

DO - 10.1093/aje/kww191

M3 - SCORING: Journal article

C2 - 28419203

VL - 185

SP - 954

EP - 964

JO - AM J EPIDEMIOL

JF - AM J EPIDEMIOL

SN - 0002-9262

IS - 10

ER -