Toward assessing clinical trial publications for reporting transparency.

ABSTRACT:

Objective

To annotate a corpus of randomized controlled trial (RCT) publications with the checklist items of CONSORT reporting guidelines and using the corpus to develop text mining methods for RCT appraisal.

Methods

We annotated a corpus of 50 RCT articles at the sentence level using 37 fine-grained CONSORT checklist items. A subset (31 articles) was double-annotated and adjudicated, while 19 were annotated by a single annotator and reconciled by another. We calculated inter-annotator agreement at the article and section level using MASI (Measuring Agreement on Set-Valued Items) and at the CONSORT item level using Krippendorff's α. We experimented with two rule-based methods (phrase-based and section header-based) and two supervised learning approaches (support vector machi

SUBMITTER: Kilicoglu H 

PROVIDER: S-EPMC8112250 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature