Systematic review of rheumatoid arthritis clinical studies: Suboptimal statistical analysis of radiological data

Sehrash Mahmood, Lilian van Tuyl, Linda J. Schoonmade, Robert Landewé, D. sirée van der Heijde, Jos Twisk, Maarten Boers

Research output: Contribution to journalReview articleAcademicpeer-review

Abstract

Introduction: The distribution of progression scores in rheumatoid arthritis is highly skewed, requiring advanced statistical analysis techniques, with different techniques resulting in different outcomes. Methods: Three databases were searched to identify rheumatoid arthritis clinical trials and observational studies that described radiographic analysis techniques, comparing at least two groups. Results: Of 5980 identified papers, 225 were eligible for data extraction. Parametric techniques (t-tests, ANOVA or linear regression) were used in 39 studies, of which 18% took the skewed distribution into account. In 53 studies, continuous data was categorized and analyzed with binomial or ordinal methods (chi-square tests or logistic regression). Two studies treated the outcome as a ‘count’ outcome variable (applying a Poisson). Conclusion: There is large heterogeneity in the analysis strategy of radiographic progression in recent rheumatoid arthritis clinical trials and observational studies, with the majority of studies applying simple, suboptimal or inappropriate methods.
LanguageEnglish
JournalSeminars in Arthritis and Rheumatism
DOIs
Publication statusPublished - 2019

Cite this

@article{bef8b4b197ea45c19a947be21e5dc5e0,
title = "Systematic review of rheumatoid arthritis clinical studies: Suboptimal statistical analysis of radiological data",
abstract = "Introduction: The distribution of progression scores in rheumatoid arthritis is highly skewed, requiring advanced statistical analysis techniques, with different techniques resulting in different outcomes. Methods: Three databases were searched to identify rheumatoid arthritis clinical trials and observational studies that described radiographic analysis techniques, comparing at least two groups. Results: Of 5980 identified papers, 225 were eligible for data extraction. Parametric techniques (t-tests, ANOVA or linear regression) were used in 39 studies, of which 18{\%} took the skewed distribution into account. In 53 studies, continuous data was categorized and analyzed with binomial or ordinal methods (chi-square tests or logistic regression). Two studies treated the outcome as a ‘count’ outcome variable (applying a Poisson). Conclusion: There is large heterogeneity in the analysis strategy of radiographic progression in recent rheumatoid arthritis clinical trials and observational studies, with the majority of studies applying simple, suboptimal or inappropriate methods.",
author = "Sehrash Mahmood and {van Tuyl}, Lilian and Schoonmade, {Linda J.} and Robert Landew{\'e} and {van der Heijde}, {D. sir{\'e}e} and Jos Twisk and Maarten Boers",
year = "2019",
doi = "10.1016/j.semarthrit.2019.02.009",
language = "English",
journal = "Seminars in Arthritis and Rheumatism",
issn = "0049-0172",
publisher = "W.B. Saunders Ltd",

}

Systematic review of rheumatoid arthritis clinical studies: Suboptimal statistical analysis of radiological data. / Mahmood, Sehrash; van Tuyl, Lilian; Schoonmade, Linda J.; Landewé, Robert; van der Heijde, D. sirée; Twisk, Jos; Boers, Maarten.

In: Seminars in Arthritis and Rheumatism, 2019.

Research output: Contribution to journalReview articleAcademicpeer-review

TY - JOUR

T1 - Systematic review of rheumatoid arthritis clinical studies: Suboptimal statistical analysis of radiological data

AU - Mahmood, Sehrash

AU - van Tuyl, Lilian

AU - Schoonmade, Linda J.

AU - Landewé, Robert

AU - van der Heijde, D. sirée

AU - Twisk, Jos

AU - Boers, Maarten

PY - 2019

Y1 - 2019

N2 - Introduction: The distribution of progression scores in rheumatoid arthritis is highly skewed, requiring advanced statistical analysis techniques, with different techniques resulting in different outcomes. Methods: Three databases were searched to identify rheumatoid arthritis clinical trials and observational studies that described radiographic analysis techniques, comparing at least two groups. Results: Of 5980 identified papers, 225 were eligible for data extraction. Parametric techniques (t-tests, ANOVA or linear regression) were used in 39 studies, of which 18% took the skewed distribution into account. In 53 studies, continuous data was categorized and analyzed with binomial or ordinal methods (chi-square tests or logistic regression). Two studies treated the outcome as a ‘count’ outcome variable (applying a Poisson). Conclusion: There is large heterogeneity in the analysis strategy of radiographic progression in recent rheumatoid arthritis clinical trials and observational studies, with the majority of studies applying simple, suboptimal or inappropriate methods.

AB - Introduction: The distribution of progression scores in rheumatoid arthritis is highly skewed, requiring advanced statistical analysis techniques, with different techniques resulting in different outcomes. Methods: Three databases were searched to identify rheumatoid arthritis clinical trials and observational studies that described radiographic analysis techniques, comparing at least two groups. Results: Of 5980 identified papers, 225 were eligible for data extraction. Parametric techniques (t-tests, ANOVA or linear regression) were used in 39 studies, of which 18% took the skewed distribution into account. In 53 studies, continuous data was categorized and analyzed with binomial or ordinal methods (chi-square tests or logistic regression). Two studies treated the outcome as a ‘count’ outcome variable (applying a Poisson). Conclusion: There is large heterogeneity in the analysis strategy of radiographic progression in recent rheumatoid arthritis clinical trials and observational studies, with the majority of studies applying simple, suboptimal or inappropriate methods.

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85062716201&origin=inward

UR - https://www.ncbi.nlm.nih.gov/pubmed/30878153

U2 - 10.1016/j.semarthrit.2019.02.009

DO - 10.1016/j.semarthrit.2019.02.009

M3 - Review article

JO - Seminars in Arthritis and Rheumatism

T2 - Seminars in Arthritis and Rheumatism

JF - Seminars in Arthritis and Rheumatism

SN - 0049-0172

ER -