ArticleBMJ open2026
Development of a lifelong core outcome set for oesophageal atresia ± tracheoesophageal fistula: the OCELOT study.
Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
18 authors.
Funding
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Abstract
backgroundDespite anatomical correction, people born with oesophageal atresia±tracheoesophageal fistula (OA-TOF) experience lifelong morbidity. Core outcome sets (COSs) are recognised as a means of improving research quality and, as a consequence, improving patient outcomes; one was not available for this population.
objectiveThe scope of the study was to develop a COS for people born with OA-TOF that would be applicable regardless of age or geographic location. STUDY
designPatient input was paramount to this study. For long-list generation, in addition to the systematic review (SR), patients and representatives were invited to participate in focus groups, interviews or complete activity packs to ascertain outcomes that matter most to them. International consensus was then sought using a two-step Delphi survey followed by an online consensus meeting.
resultsEight outcomes were identified through patient events that had not been picked up from SR. 175 people completed the Delphi survey from 26 countries and health care professionals from 13 different disciplines. 24 outcomes met predefined criteria for inclusion and following discussion and voting in the consensus meeting, and 14/24 outcomes were agreed for inclusion in the COS.
conclusion14 outcomes have been agreed on to form the COS. 12 of these outcomes are relevant to people of all ages, 1 to paediatric population and 1 to adult cohorts. The COS is, therefore, truly applicable lifelong, which was the scope of the project. This COS will help reduce research heterogeneity, enabling better quality research outcomes and more comparable data.
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