Please use this identifier to cite or link to this item: http://hdl.handle.net/10668/11957
Title: Abstract analysis method facilitates filtering low-methodological quality and high-bias risk systematic reviews on psoriasis interventions.
Authors: Gómez-García, Francisco
Ruano, Juan
Aguilar-Luque, Macarena
Alcalde-Mellado, Patricia
Gay-Mimbrera, Jesús
Hernández-Romero, José Luis
Sanz-Cabanillas, Juan Luis
Maestre-López, Beatriz
González-Padilla, Marcelino
Carmona-Fernández, Pedro J
García-Nieto, Antonio Vélez
Isla-Tejera, Beatriz
Keywords: AMSTAR;Abstract readability;Decision trees;Methodological quality;PRISMA for abstracts;Psoriasis;Quality of reporting;Systematic review
metadata.dc.subject.mesh: Abstracting and Indexing
Bias
Humans
Meta-Analysis as Topic
Periodicals as Topic
Psoriasis
Publishing
Quality Control
Research Design
Research Report
Review Literature as Topic
Risk Factors
Issue Date: 29-Dec-2017
Abstract: Article summaries' information and structure may influence researchers/clinicians' decisions to conduct deeper full-text analyses. Specifically, abstracts of systematic reviews (SRs) and meta-analyses (MA) should provide structured summaries for quick assessment. This study explored a method for determining the methodological quality and bias risk of full-text reviews using abstract information alone. Systematic literature searches for SRs and/or MA about psoriasis were undertaken on MEDLINE, EMBASE, and Cochrane database. For each review, quality, abstract-reporting completeness, full-text methodological quality, and bias risk were evaluated using Preferred Reporting Items for Systematic Reviews and Meta-analyses for abstracts (PRISMA-A), Assessing the Methodological Quality of Systematic Reviews (AMSTAR), and ROBIS tools, respectively. Article-, author-, and journal-derived metadata were systematically extracted from eligible studies using a piloted template, and explanatory variables concerning abstract-reporting quality were assessed using univariate and multivariate-regression models. Two classification models concerning SRs' methodological quality and bias risk were developed based on per-item and total PRISMA-A scores and decision-tree algorithms. This work was supported, in part, by project ICI1400136 (JR). No funding was received from any pharmaceutical company. This study analysed 139 SRs on psoriasis interventions. On average, they featured 56.7% of PRISMA-A items. The mean total PRISMA-A score was significantly higher for high-methodological-quality SRs than for moderate- and low-methodological-quality reviews. SRs with low-bias risk showed higher total PRISMA-A values than reviews with high-bias risk. In the final model, only 'authors per review > 6' (OR: 1.098; 95%CI: 1.012-1.194), 'academic source of funding' (OR: 3.630; 95%CI: 1.788-7.542), and 'PRISMA-endorsed journal' (OR: 4.370; 95%CI: 1.785-10.98) predicted PRISMA-A variability. Reviews with a total PRISMA-A score  6' (OR: 1.098; 95%CI: 1.012-1.194), 'academic source of funding' (OR: 3.630; 95%CI: 1.788-7.542), and 'PRISMA-endorsed journal' (OR: 4.370; 95%CI: 1.785-10.98) predicted PRISMA-A variability. Reviews with a total PRISMA-A score The methodological quality and bias risk of SRs may be determined by abstract's quality and completeness analyses. Our proposal aimed to facilitate synthesis of evidence evaluation by clinical professionals lacking methodological skills. External validation is necessary.
URI: http://hdl.handle.net/10668/11957
metadata.dc.identifier.doi: 10.1186/s12874-017-0460-z
Appears in Collections:Producción 2020

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