Abstract Objectives Interstitial lung disease (RA-ILD) is an important comorbidity in rheumatoid arthritis. Its true prevalence remains unclear. We assessed reported prevalences across different diagnostic approaches. Methods We conducted a systematic literature review and meta-analysis to assess RA-ILD prevalence. Embase, Medline (Pubmed), Cochrane Library, and Web of Science were searched (inception-2022). Heterogeneity was assessed (I2). Subgroup differences were assessed (Q-test). Bias appraisal was performed via a funnel plot and Egger’s test. Individual studies were evaluated for the presence of bias, using the AXIS score. Mixed-effects meta-regression explored sample size, diagnostic modality, geography, and AXIS score as moderators. Results We included 74 studies and obtained an overall random-effect pooled prevalence of 20.6% (95% CI: 18.3–23.2%, I2=99.7%). The random-effects pooled prevalence varied by diagnostic method: 31% (95% CI: 25–38%, I2=97%) when using (HR)CT, 21% (95% CI: 14–31%,I2=95%) with PFTs, 13% (95% CI: 5–30%, I2=99%) when combining multiple diagnostic tools, 12% (95% CI: 7–20%, I2=96%) with chest X-ray, and 5% (95% CI: 4–8%, I2=100%) when based on ICD codes. Low-bias recent studies (AXIS 16; 2013–2022) yielded a pooled prevalence of 10.1% (95% CI: 6.2–16.3%; I2=99.9%). Prevalences significantly differed between tools (Q = 73.16, df = 4, p 0.0001). The meta-regression model (QM = 89.96, df = 11, p 0.0001) had a moderate explanatory value (R2 = 47.82%). The asymmetric funnel plot (t = 2.59, df = 98, p = 0.011) pointed to significant bias (estimate of 4.86, SE = 1.88). Conclusion Due to extreme heterogeneity and evidence of small-study effects, the overall pooled random-effects prevalence (20%) should be interpreted cautiously and primarily reflects the wide variation in diagnostic approaches. Estimates derived from low-bias and multimodal diagnostic studies (approximately 10–13%) may provide a more clinically meaningful approximation, though they remain informed estimates rather than definitive prevalence rates.
Building similarity graph...
Analyzing shared references across papers
Loading...
Marie Vermant
Thomas Pauwels
Tine Follet
Rheumatology Advances in Practice
KU Leuven
Building similarity graph...
Analyzing shared references across papers
Loading...
Vermant et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69df2a99e4eeef8a2a6afad8 — DOI: https://doi.org/10.1093/rap/rkag045