Core outcome set for children with neurological impairment and tube feeding
Bibliographic record
Abstract
AIM: To develop a core outcome set (COS) for evaluating gastrostomy/gastrojejunostomy tube impact in children with neurological impairment. METHOD: Healthcare providers/researchers and caregivers rated the importance of candidate outcomes on a 5-point Likert scale. Outcomes rated 'somewhat important' or 'very important' by most (≥85%) respondents were voted on during a consensus meeting. Outcomes that reached consensus for inclusion were ratified and assigned to Outcome Measures in Rheumatology filter core areas. The COS was validated in a separate group of caregivers. RESULTS: Twelve outcomes were selected from 120 candidate outcomes to form the COS. These included five 'Life Impact' outcomes, three 'Pathophysiological Manifestations' outcomes, two 'Resource Use' outcomes, one 'Growth and Development' outcome, and one 'Death' outcome. INTERPRETATION: We developed an evidence-informed and consensus-based COS for use in studies of gastrostomy/gastrojejunostomy tube feeding in children with neurological impairment. Implementation of this COS will help reduce heterogeneity between studies and facilitate evidence-based decision-making. WHAT THE PAPER ADDS: Caregivers, healthcare providers, and researchers ranked the importance of 120 outcomes. Twelve core outcomes were identified as essential to measure in future clinical research studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.044 | 0.085 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.006 |
| Bibliometrics | 0.012 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".