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Record W4416602441 · doi:10.1111/aas.70153

Improving Outcome Reporting in Paediatric Airway Management in Clinical Trials ( <scp>IMPACT</scp> ): A Study Protocol for Core Outcomes and Clinical Endpoints

2025· article· en· W4416602441 on OpenAlexaff
Clyde Matava, Julia Olsen, Vanessa Marchesini, Thomas Engelhardt, Alexander Fuchs, Thomas Riva, Nikolaus E. Wolter, Britta S. von Ungern‐Sternberg, Mary Lyn Stein, Nicola Disma, Jamuna Navaratnarajah, Vinícius Caldeira Quintão, Patrick Olomu, Maren Kleine‐Brueggeney, Annery G. García‐Marcinkiewicz, Taiki Kojima, Karin Becke, John E. Fiadjoe, Arash Afshari, Pete G. Kovatsis

Bibliographic record

VenueActa Anaesthesiologica Scandinavica · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsHospital for Sick ChildrenMontreal Children's HospitalUniversity of Toronto
FundersNational Health and Medical Research CouncilStan Perron Charitable Foundation
KeywordsProtocol (science)Clinical trialPresentation (obstetrics)Outcome (game theory)Consolidated Standards of Reporting TrialsData monitoring committeeClinical endpointMEDLINEKey (lock)

Abstract

fetched live from OpenAlex

BACKGROUND: Although clinical trials are fundamental to advancing evidence-based practice, significant heterogeneity in outcome reporting poses a considerable challenge to the validity of systematic reviews. This inconsistency impedes the ability to compare, synthesise and interpret research findings effectively. In the field of paediatric airway management, this issue is particularly relevant because of the low incidence of critical events and the related high morbidity and mortality. The issue of inadequate and variable outcome reporting in clinical trials has been widely acknowledged, necessitating initiatives to enhance the quality of future research. OBJECTIVE: This protocol delineates the methodology used for the development of standardised, consensus-based outcome definitions and reporting items specifically tailored to paediatric airway management trials. The goal is to create guidance that will serve as an extension to the established SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) and CONSORT (Consolidated Standards of Reporting Trials) frameworks, leading to enhanced trial reproducibility and transparency and ultimately improve pediatric airway research, systematic reviews and advance patient care and safety. METHODS: This project will adhere to the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) Network's framework for guideline development. The methodology will be structured into four distinct phases: (1) a scoping review to comprehensively identify outcomes and variables currently reported in paediatric airway management trials; (2) a three-round Delphi process involving a multidisciplinary panel of experts to prioritise and refine outcomes and variables; (3) a consensus meeting to achieve agreement on the final set of reporting items, which will then be prepared for publication and (4) dissemination. CONCLUSIONS: The finalised outcome reporting guidelines, in the form of SPIRIT and CONSORT extensions for paediatric airway management, will be disseminated through various channels to maximise their reach and impact. These include publication in peer-reviewed journals, presentation at major international conferences and submission to relevant international reporting registries, such as the EQUATOR, SPIRIT and CONSORT registries. Active engagement with key stakeholders, including journal editors, research funders, regulatory bodies and clinician networks and national and international societies, will be a crucial component of the dissemination strategy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.482
metaresearch head score (Gemma)0.507
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.518
Threshold uncertainty score0.639

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4820.507
Meta-epidemiology (narrow)0.0050.006
Meta-epidemiology (broad)0.0070.012
Bibliometrics0.0120.014
Science and technology studies0.0050.008
Scholarly communication0.0090.009
Open science0.0050.010
Research integrity0.0180.014
Insufficient payload (model declined to judge)0.0280.014

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.

Opus teacher head0.439
GPT teacher head0.622
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainReporting
GenreProtocol

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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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