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Record W4410934603 · doi:10.1016/j.bas.2025.104288

A core outcome set for cranioplasty following stroke or traumatic brain injury - The COAST study

2025· article· en· W4410934603 on OpenAlex
Harry Mee, Tommi K. Korhonen, Ana M. Castaño‐León, Amos O. Adeleye, Judith Allanson, Fahim Anwar, Bhagavatula Indira Devi, Katie Bond, Clare Clement, Andrés M. Rubiano, K Grieve, Gregory W. J. Hawryluk, Adel Helmy, Stephen Honeybul, Corrado Iaccarino, Alfonso Lagares, Hani J. Marcus, Niklas Marklund, Susanne Muehlschlegel, Nicola Owen, Maria Paul, Valerie M. Pomeroy, Dhaval Shukla, Franco Servadei, Edoardo Viaroli, Elizabeth A. Warburton, Adam J. Wells, Ivan Timofeev, Carole Turner, Gemma Whiting, Peter J. Hutchinson, Angelos G. Kolias

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBrain and Spine · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsUniversity of Manitoba
FundersUniversity of CambridgeRoyal College of Surgeons of EnglandNational Institute for Health and Care Research
KeywordsCranioplastyMedicineTraumatic brain injuryGlasgow Outcome ScaleDecompressive craniectomyDelphi methodPhysical therapyFamily medicineSurgeryPsychiatry

Abstract

fetched live from OpenAlex

Introduction: There is substantial heterogeneity in the reporting of outcomes in the global cranioplasty literature. This study aimed to establish a core outcome set (COS) for cranioplasty after decompressive craniectomy for stroke or traumatic brain injury. Methodology: The scope was defined according to the criteria recommended by the Core Outcome Measures in Effectiveness Trials (COMET) Initiative. Phase 1 focused on outcome gathering through a systematic review and a qualitative study. Phase 2 focused on consolidation and consensus of outcomes through a two-round Delphi survey and consensus meeting. Participants from the four stakeholder groups (1. patients and/or relatives; 2. Surgeons, 3. physicians (non-surgeons), 4. Nurses, allied health professionals, and researchers) individually scored all outcomes on a 9-point Likert scale. Variables that did not reach the predefined consensus threshold for COS inclusion or exclusion were voted upon at the final consensus meeting. Results: In total, 208 verbatim outcomes were consolidated into 56 domains. A total of 153 participants completed round 1, with 45 additional outcomes suggested for inclusion. Following rationalisation, four were included in round 2. A total of 109/153 participants (71 %) from 16 countries completed Round 2 and re-scored all 60 outcomes (56 original + 4 additional). Nine outcomes were voted in, and 12 were excluded from the Delphi. The remaining 39 were discussed at a consensus meeting with 11 voted in. The final COS included 20 outcomes (12 + 8) across four domains: life impact, pathophysiological manifestations, resource use/economic impact, and mortality. Conclusion: COAST COS covers key cranioplasty outcomes, as assessed by international stakeholders, including surgical, medical, rehabilitation, and nursing professionals, as well as patients and their relatives. Future implementation will aid in the standardisation of outcomes and facilitate the development of cranioplasty-specific outcome measures, aiding between-study comparisons and improving the relevance of trial findings to healthcare professionals and patients.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.321
GPT teacher head0.536
Teacher spread0.216 · 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