Quality Reporting of Multivariable Regression Models in Observational Studies
MetadataShow full item record
Controlling for confounders is a crucial step in analytical observational studies, and multivariable models are widely used as statistical adjustment techniques. However, the validation of the assumptions of the multivariable regression models (MRMs) should be made clear in scientific reporting. The objective of this study is to review the quality of statistical reporting of the most commonly used MRMs (logistic, linear, and Cox regression) that were applied in analytical observational studies published between 2003 and 2014 by journals indexed in MEDLINE. Review of a representative sample of articles indexed in MEDLINE (n¼428) with observational design and use ofMRMs (logistic, linear, and Cox regression).We assessedthe quality of reporting about:model assumptions and goodness-of-fit, interactions, sensitivity analysis, crude and adjusted effect estimate, and specification of more than 1 adjusted model. The tests of underlying assumptions or goodness-of-fit of the MRMs used were described in 26.2% (95% CI: 22.0–30.3) of the articles and 18.5%(95% CI: 14.8–22.1) reported the interaction analysis. Reporting of all items assessedwas higher in articles published in journalswith a higher impact factor. A low percentage of articles indexed in MEDLINE that used multivariable techniques provided information demonstrating rigorous application of the model selected as an adjustment method. Given the importance of these methods to the final results and conclusions of observational studies, greater rigor is required in reporting the use of MRMs in the scientific literature.
Is part ofMedicine, 2016, vol. 95, núm. 20, e3653
European research projects
The following license files are associated with this item:
Except where otherwise noted, this item's license is described as cc-by (c) Wolters Kluwer Health, Inc., 2016
Showing items related by title, author, creator and subject.
Feasibility and acceptability of personalised breast cancer screening (DECIDO study): protocol of a single-arm proof-of-concept trial Pons Rodríguez, Anna; Forné Izquierdo, Carles; Vilaplana Mayoral, Jordi; Cruz Esteve, María Inés; Sánchez-López, Isabel; Reñé Reñé, Mercè; Cazorla, Cristina; Hernández Andreu, Marta; Galindo Ortego, Gisela; Llorens Gabandé, Montserrat; Laza-Vásquez, Celmira; Balaguer Llaquet, Pau; Martínez Alonso, Montserrat; Rué i Monné, Montserrat (BMJ Publishing Group, 2020-12-23)Introduction Personalised cancer screening aims to improve benefits, reduce harms and being more cost-effective than age-based screening. The objective of the DECIDO study is to assess the acceptability and feasibility of ...
Reporting of methodologic information on trial registries for quality assessment: a study of trial records retrieved from the WHO search portal Reveiz, Ludovic; Chan, An-Wen; Krleza-Jeric, Karmela; Granados, Carlos Eduardo; Pinart, Mariona; Etxeandia, Itziar; Rada, Diego; Martínez Alonso, Montserrat; Bonfill, Xavier; Cardona, Andrés Felipe (Public Library of Science (PLoS), 2010)Background: Although randomized clinical trials (RCTs) are considered the gold standard of evidence, their reporting is often suboptimal. Trial registries have the potential to contribute important methodologic information ...
Yuguero Torres, Oriol; Vena Martínez, Ana Belén; Forné Izquierdo, Carles; Lacasta García, José Daniel; Llobet, Cecilia; Abadías, María José (Lippincott, Williams & Wilkins, 2018)There are lack of indicators of quality of care in resuscitation units of emergency departments. With the aim of proposing a series of indicators to evaluate the quality of care delivered in hospital resuscitation areas, ...