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Surgeon perspectives of three-dimensional endoscopy in pediatric otolaryngology: A qualitative study

2023· preprint· en· W4319339161 on OpenAlexaff
Brendan D. McNeely, Nick Fitzpatrick, Katharina Leitmeyer, Julie Pauwels, Neil K. Chadha

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicTracheal and airway disorders
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsOtorhinolaryngologyMedicineEndoscopyGeneral surgeryThematic analysisMedical physicsSurgeryQualitative research

Abstract

fetched live from OpenAlex

KEY POINTS 1. This is the first study to use a qualitative methodology to assess the potential advantages and disadvantages of the application of 3D endoscopes in pediatric otolaryngology surgery. 2. Open-ended, structured interviews were conducted with six pediatric Otolaryngologist operating at a tertiary pediatric centre, with a minimum one year of experience using a 3D endoscopy system. 3. Thematic analysis of the surgeon's responses identified 3D endoscopy to provide improved surgical field visualization which thus served as a valuable teaching tool. 4. The surgeons interviewed found 3D endoscopy to improve surgical outcomes in pediatric airway surgery, particularly in surgeries involving the larynx. 5. Further quantitative evaluation of patient outcomes could delineate the precise clinical role 3D endoscopy may hold in future pediatric Otolaryngology practice.

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)0.023
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.032
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0070.008
Scholarly communication0.0050.004
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.052
GPT teacher head0.361
Teacher spread0.309 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations0
Published2023
Admission routes1
Has abstractyes

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