Reporting quality of surgical randomised controlled trials in head and neck cancer: a systematic review.

Eur Arch Otorhinolaryngol

Faculty of Medical Sciences, Newcastle University, Framlington Place, Newcastle Upon Tyne, NE2 4HH, UK.

Published: November 2021

Purpose: Randomised controlled trials (RCTs) are considered the gold standard for evaluating the efficacy of an intervention. However, previous research has shown that RCTs in several surgical specialities are poorly reported, making it difficult to ascertain if various biases have been appropriately minimised. This systematic review assesses the reporting quality of surgical head and neck cancer RCTs.

Methods: A literature search of PubMed and Embase was performed. Papers were included if they reported RCTs which assessed a surgical technique used to treat or diagnose head and neck cancer published during or after 2011. The CONSORT 2010 checklist was used to evaluate the reporting quality of these trials.

Results: 41 papers were included. The mean CONSORT score was 16.5/25 (66% adherence) and the scores ranged from 7.5 (30%) to 25. The most common omissions were full trial protocol (found in 14.6%), participant recruitment method (22%) and effect size with a precision estimate for all outcome measures (29.3%). The full design and implementation of the randomisation methods were reported in 6 (14.6%). Papers published in journals which endorsed CONSORT had significantly higher scores (p = 0.02) and the journal impact factor was significantly correlated with CONSORT score (p = 0.01).

Conclusion: We have identified several pieces of information that are underreported in surgical head and neck cancer RCTs. These omissions make understanding and comparing the methodologies and conclusions of RCTs more difficult. The endorsement of CONSORT by journals improved adherence, suggesting that wider adoption of the checklist may improve reporting.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486722PMC
http://dx.doi.org/10.1007/s00405-021-06694-9DOI Listing

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