Αρχειοθήκη ιστολογίου

Αλέξανδρος Γ. Σφακιανάκης
ΩτοΡινοΛαρυγγολόγος
Αναπαύσεως 5
Άγιος Νικόλαος Κρήτη 72100
2841026182
6032607174

Δευτέρα 13 Φεβρουαρίου 2017

Systematic reviews and meta-analyses on psoriasis: role of funding sources, conflict of interest, and bibliometric indices as predictors of methodological quality

Summary

Background

The quality of systematic reviews (SRs) and meta-analyses about psoriasis, a chronic inflammatory skin disease that severely impairs quality of life and is associated with high costs, remains unknown.

Objectives

To assess the methodological quality of SRs published on psoriasis.

Methods

After a comprehensive search in MEDLINE, EMBASE, and the Cochrane Database (PROSPERO:CDR4201604161), the quality was assessed by two raters using Assessment of Multiple Systematic Reviews (AMSTAR) tool. Article metadata and journal-related bibliometric indices were also obtained. SRs were classified as low (0-4), moderate (5-8), or high (9-11) quality. A prediction model for methodological quality was fitted using principal component and multivariate ordinal logistic regression analyses.

Results

We classified 220 studies as high (17.2%), moderate (55%), or low (27.7%) quality. Lower compliance rates were found for question (Q) 5 (list of studies provided, 11.3%), Q10 (publication bias assessed, 27.8%), Q4 (status of publication included, 39.5%), and Q1 (a priori design provided, 41%) AMSTAR items. Factors such as meta-analysis including (odds ratio [OR], 6.21; 95% confidence interval [CI]: 2.78-14.85), funding by academic institutions (OR, 2.89; 95% CI, 1.11-7.89), article influence score (OR, 2.13; 95% CI, 1.05-6.67), 5-year impact factor (OR, 1.34; 95% CI, 1.02-1.14), and article page count (OR, 1.08; 95% CI, 1.02-1.15) significantly predicted a higher quality; a high number of authors with a conflict of interest (OR, 0.9; 95% CI, 0.824-0.985) was significantly associated with a lower quality.

Conclusions

The methodological quality of SRs published about psoriasis remains suboptimal. The type of funding sources and author conflicts may compromise study quality, increasing the risk of bias.

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