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Record W2888981099 · doi:10.1002/lary.27445

Outcome measures for pediatric laryngotracheal reconstruction: International consensus statement

2018· article· en· W2888981099 on OpenAlexaff
Karthik Balakrishnan, Douglas R. Sidell, Nancy M. Bauman, Gaston F. Bellia‐Munzon, R. Paul Boesch, Matthew Bromwich, Shelagh A. Cofer, Cori Daines, Alessandro de Alarcón, N Garabédian, Catherine K. Hart, Jonathan B. Ida, Nicolas Leboulanger, Peter B. Manning, Deepak Mehta, Philippe Monnier, Charles M. Myer, Jeremy D. Prager, Diego Preciado, Evan J. Propst, Reza Rahbar, John Russell, Michael J. Rutter, Briac Thierry, Dana M. Thompson, Michele Torre, Patricio Varela, Shyan Vijayasekaran, David R. White, Andre Wineland, Robert E. Wood, Christopher T. Wootten, Karen B. Zur, Robin T. Cotton

Bibliographic record

VenueThe Laryngoscope · 2018
Typearticle
Languageen
FieldMedicine
TopicTracheal and airway disorders
Canadian institutionsSickKids FoundationUniversity of TorontoHospital for Sick ChildrenUniversity of Ottawa
Fundersnot available
KeywordsMedicineOtorhinolaryngologyPerioperativeDelphi methodCardiothoracic surgeryMEDLINEIntensive care medicineSurgeryGeneral surgery

Abstract

fetched live from OpenAlex

OBJECTIVES: Develop multidisciplinary and international consensus on patient, disease, procedural, and perioperative factors, as well as key outcome measures and complications, to be reported for pediatric airway reconstruction studies. METHODS: Standard Delphi methods were applied. Participants proposed items in three categories: 1) patient/disease characteristics, 2) procedural/intraoperative/perioperative factors, and 3) outcome measures and complications. Both general and anatomic site-specific measures were elicited. Participants also suggested specific operations to be encompassed by this project. We then used iterative ranking and review to develop consensus lists via a priori Delphi consensus criteria. RESULTS: Thirty-three pediatric airway experts from eight countries in North and South America, Europe, and Australia participated, representing otolaryngology (including International Pediatric Otolaryngology Group members), pulmonology, general surgery, and cardiothoracic surgery. Consensus led to inclusion of 19 operations comprising open expansion, resection, and slide procedures of the larynx, trachea, and bronchi as well as three endoscopic procedures. Consensus was achieved on multiple patient/comorbidity (10), disease/stenosis (7), perioperative-/intraoperative-/procedure-related (16) factors. Consensus was reached on multiple outcome and complication measures, both general and site-specific (8 general, 13 supraglottic, 15 glottic, 17 subglottic, 8 cervical tracheal, 12 thoracic tracheal). The group was able to clarify how each outcome should be measured, with specific instruments defined where applicable. CONCLUSION: This consensus statement provides a framework to communicate results consistently and reproducibly, facilitating meta-analyses, quality improvement, transfer of information, and surgeon self-assessment. It also clarifies expert opinion on which patient, disease, procedural, and outcome measures may be important to consider in any pediatric airway reconstruction patient. LEVEL OF EVIDENCE: 5 Laryngoscope, 129:244-255, 2019.

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)0.282
metaresearch head score (Gemma)0.234
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.282
Threshold uncertainty score0.886

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2820.234
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0090.005
Science and technology studies0.0020.002
Scholarly communication0.0040.005
Open science0.0060.007
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0040.002

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 head0.051
GPT teacher head0.335
Teacher spread0.284 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreMethods

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

Citations60
Published2018
Admission routes1
Has abstractyes

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