Overall similarity and consistency assessment scores are not sufficiently accurate for predicting discrepancy between direct and indirect comparison estimates

Tengbin Xiong; Sheetal Parekh-Bhurke; Yoon K Loke; Asmaa Abdelhamid; Alex J Sutton; Alison J Eastwood; Richard Holland; Yen-Fu Chen; Tanya Walsh; Anne-Marie Glenny; Fujian Song

doi:10.1016/j.jclinepi.2012.06.022

Overall similarity and consistency assessment scores are not sufficiently accurate for predicting discrepancy between direct and indirect comparison estimates

Tengbin Xiong
, Sheetal Parekh-Bhurke
, Yoon K Loke
, Asmaa Abdelhamid
, Alex J Sutton
, Alison J Eastwood
, Richard Holland
, Yen-Fu Chen
, Tanya Walsh
, Anne-Marie Glenny
, Fujian Song

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

Abstract

Indirect comparison methods have been increasingly used to assess the effectiveness of different interventions comparatively. This study evaluated a Trial Similarity and Evidence Consistency Assessment (TSECA) framework for assessing key assumptions underlying the validity of indirect comparisons.

Original language	English
Pages (from-to)	184-191
Number of pages	8
Journal	Journal of Clinical Epidemiology
Volume	66
Issue number	2
DOIs	https://doi.org/10.1016/j.jclinepi.2012.06.022
Publication status	Published - Feb 2013

Keywords

Bias (Epidemiology)
Evidence-Based Medicine
Guideline Adherence
Humans
Practice Guidelines as Topic
Predictive Value of Tests
Quality Assurance, Health Care
Randomized Controlled Trials as Topic
Reproducibility of Results
Sensitivity and Specificity

Access to Document

10.1016/j.jclinepi.2012.06.022

Cite this

Xiong, T., Parekh-Bhurke, S., Loke, Y. K., Abdelhamid, A., Sutton, A. J., Eastwood, A. J., Holland, R., Chen, Y.-F., Walsh, T., Glenny, A.-M., & Song, F. (2013). Overall similarity and consistency assessment scores are not sufficiently accurate for predicting discrepancy between direct and indirect comparison estimates. Journal of Clinical Epidemiology, 66(2), 184-191. https://doi.org/10.1016/j.jclinepi.2012.06.022

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abstract = "Indirect comparison methods have been increasingly used to assess the effectiveness of different interventions comparatively. This study evaluated a Trial Similarity and Evidence Consistency Assessment (TSECA) framework for assessing key assumptions underlying the validity of indirect comparisons.",

keywords = "Bias (Epidemiology), Evidence-Based Medicine, Guideline Adherence, Humans, Practice Guidelines as Topic, Predictive Value of Tests, Quality Assurance, Health Care, Randomized Controlled Trials as Topic, Reproducibility of Results, Sensitivity and Specificity",

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Xiong, T, Parekh-Bhurke, S, Loke, YK , Abdelhamid, A, Sutton, AJ, Eastwood, AJ, Holland, R, Chen, Y-F, Walsh, T, Glenny, A-M & Song, F 2013, 'Overall similarity and consistency assessment scores are not sufficiently accurate for predicting discrepancy between direct and indirect comparison estimates', Journal of Clinical Epidemiology, vol. 66, no. 2, pp. 184-191. https://doi.org/10.1016/j.jclinepi.2012.06.022

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AU - Xiong, Tengbin

AU - Parekh-Bhurke, Sheetal

AU - Loke, Yoon K

AU - Abdelhamid, Asmaa

AU - Sutton, Alex J

AU - Eastwood, Alison J

AU - Holland, Richard

AU - Chen, Yen-Fu

AU - Walsh, Tanya

AU - Glenny, Anne-Marie

AU - Song, Fujian

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KW - Bias (Epidemiology)

KW - Evidence-Based Medicine

KW - Guideline Adherence

KW - Humans

KW - Practice Guidelines as Topic

KW - Predictive Value of Tests

KW - Quality Assurance, Health Care

KW - Randomized Controlled Trials as Topic

KW - Reproducibility of Results

KW - Sensitivity and Specificity

U2 - 10.1016/j.jclinepi.2012.06.022

DO - 10.1016/j.jclinepi.2012.06.022

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