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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
general
Propensity score-based approaches to confounding by indication in individual patient data meta-analysis: Non-standardized treatment for multidrug resistant tuberculosis
PLoS ONE, Volume 11, No. 3, Article e0151724, Year 2016
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Description
Background: In the absence of randomized clinical trials, meta-analysis of individual patient data (IPD) from observational studies may provide the most accurate effect estimates for an intervention. However, confounding by indication remains an important concern that can be addressed by incorporating individual patient covariates in different ways. We compared different analytic approaches to account for confounding in IPD from patients treated for multidrug resistant tuberculosis (MDR-TB). Methods: Two antibiotic classes were evaluated, fluoroquinolones-considered the cornerstone of effective MDR-TB treatment-and macrolides, which are known to be safe, yet are ineffective in vitro. The primary outcome was treatment success against treatment failure, relapse or death. Effect estimates were obtained using multivariable and propensity-score based approaches. Results: Fluoroquinolone antibiotics were used in 28 included studies, within which 6,612 patients received a fluoroquinolone and 723 patients did not. Macrolides were used in 15 included studies, within which 459 patients received this class of antibiotics and 3,670 did not. Both standard multivariable regression and propensity score-based methods resulted in similar effect estimates for early and late generation fluoroquinolones, while macrolide antibiotics use was associated with reduced treatment success. Conclusions: In this individual patient data meta-analysis, standard multivariable and propensity-score based methods of adjusting for individual patient covariates for observational studies yielded produced similar effect estimates. Even when adjustment is made for potential confounding, interpretation of adjusted estimates must still consider the potential for residual bias. © 2016 Fox et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Authors & Co-Authors
Fox, Greg J.
Canada, Montreal
Université Mcgill
Benedetti, Andrea L.
Canada, Montreal
Université Mcgill
Mitnick, Carole Diane
United States, Boston
Harvard Medical School
Pai, Madhukar
Canada, Montreal
Université Mcgill
Richard (Dick), Menzies
Canada, Montreal
Université Mcgill
Ahuja, Shama Desai
Unknown Affiliation
Ashkin, David
Unknown Affiliation
Avendaño, Mónica Arboleya
Unknown Affiliation
Banerjee, Ritu
Unknown Affiliation
Bauer, Melissa
Unknown Affiliation
Becerra, Mercedes C.
Unknown Affiliation
Burgos, Marcos V.
Unknown Affiliation
Centis, Rosella
Unknown Affiliation
Chan, Edward D.
Unknown Affiliation
Chiang, Chenyuan
Unknown Affiliation
Cobelens, Frank G.J.
Unknown Affiliation
Cox, Helen S.
Unknown Affiliation
D'Ambrosio, Lia
Unknown Affiliation
de Lange, Wiel C.M.
Unknown Affiliation
DeRiemer, Kathryn
Unknown Affiliation
Enarson, Donald A.
Unknown Affiliation
Falzon, Dennis
Unknown Affiliation
Flanagan, Katie L.
Unknown Affiliation
Flood, Jennifer M.
Unknown Affiliation
Gandhi, Neel
Unknown Affiliation
García-García, Lourdes
Unknown Affiliation
Granich, Reuben M.
Unknown Affiliation
Hollm-Delgado, Maria Graciela
Unknown Affiliation
Holtz, Timothy H.
Unknown Affiliation
Hopewell, Philip C.
Unknown Affiliation
Iseman, Michael D.
Unknown Affiliation
Jarlsberg, Leah G.
Unknown Affiliation
Keshavjee, Salmaan A.
Unknown Affiliation
Kim, Hye-ryoun
Unknown Affiliation
Lancaster, Joey L.
Unknown Affiliation
Lange, Christoph G.
Unknown Affiliation
Leimane, Vaira
Unknown Affiliation
Leung, Chichiu
Unknown Affiliation
Koh, Wonjung
Unknown Affiliation
Li, Jiehui
Unknown Affiliation
Migliori, Giovanni Battista
Unknown Affiliation
Narita, Masahiro
Unknown Affiliation
Nathanson, Eva
Unknown Affiliation
Odendaal, Ronel
Unknown Affiliation
O'Riordan, Philly
Unknown Affiliation
Palmero, Domingo Juan
Unknown Affiliation
Park, Seungkyu
Unknown Affiliation
Pasvol, Geoffrey
Unknown Affiliation
Peña, José María
Unknown Affiliation
Pérez-Guzmán, Carlos
Unknown Affiliation
Ponce-de-Leon, Alfredo
Unknown Affiliation
Quelapio, Maria Imelda D.
Unknown Affiliation
Quy, Hoang Thi W.
Unknown Affiliation
Riekstiņa, Vieja
Unknown Affiliation
Robert, Jérome
Unknown Affiliation
Royce, Sarah E.
Unknown Affiliation
Salim, Md Abdul Hamid
Unknown Affiliation
Schaaf, Hendrik Simon
Unknown Affiliation
Seung, Kwonjune J.
Unknown Affiliation
Shah, Lena
Unknown Affiliation
Shean, Karen P.
Unknown Affiliation
Shim, Tae-sun
Unknown Affiliation
Shin, Sonya Sunhi
Unknown Affiliation
Shiraishi, Yuji
Unknown Affiliation
Sifuentes-Osornio, José
Unknown Affiliation
Sotgiu, Giovanni
Unknown Affiliation
Strand, Matthew J.
Unknown Affiliation
Sung, S. W.
Unknown Affiliation
Tabarsi, Payam
Unknown Affiliation
Tupasi, Thelma E.
Unknown Affiliation
Vargas, Mario H.
Unknown Affiliation
van Altena, Richard
Unknown Affiliation
Viiklepp, Piret
Unknown Affiliation
van der Walt, Martie L.
Unknown Affiliation
Van Derwerf, Tjip S.
Unknown Affiliation
Westenhouse, Janice L.
Unknown Affiliation
Yew, Wing W.
Unknown Affiliation
Yim, Jae-joon
Unknown Affiliation
Statistics
Citations: 12
Authors: 78
Affiliations: 2
Identifiers
Doi:
10.1371/journal.pone.0151724
ISSN:
19326203
Research Areas
Health System And Policy
Infectious Diseases
Study Design
Randomised Control Trial
Study Approach
Systematic review