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Record W1971592453 · doi:10.1016/j.otohns.2009.08.023

Evaluating Postoperative Pain in Monopolar Cautery Versus Harmonic Scalpel Tonsillectomy

2009· article· en· W1971592453 on OpenAlexaff
Sharon L. Cushing, Oakley Smith, Albino Chiodo, William Elmasri, Pam Munro‐Peck

Bibliographic record

VenueOtolaryngology · 2009
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsToronto East General HospitalUniversity of Toronto
Fundersnot available
KeywordsTonsillectomyMedicineSurgerySwallowingHarmonic scalpelRandomized controlled trialPostoperative painAnesthesiaBlood loss

Abstract

fetched live from OpenAlex

OBJECTIVES: To compare postoperative pain between monopolar cautery tonsillectomy and harmonic scalpel tonsillectomy (HST). STUDY DESIGN: Randomized controlled trial using paired organs. SETTING: Community hospital with academic affiliation. SUBJECTS: One hundred and fourteen consecutive patients six years of age or older undergoing tonsillectomy for indications of hypertrophy or recurrent infection. METHODS: For each subject, monopolar cautery tonsillectomy was performed by four senior surgeons on one side and HST was performed on the other side. Allocation of technique to side was randomized and revealed to the surgeon at the start of the operation. Validated visual analog pain scales were used to quantify pain at rest and with swallowing for each side and were completed daily for 14 days. All subjects were prescribed weight-equivalent doses of analgesics. Secondary outcome measures included postoperative complications (hemorrhage and readmission). RESULTS: Pairwise comparisons of pain scores revealed no significant difference between monopolar cautery tonsillectomy and HST (P < 0.05). CONCLUSIONS: Subjects undergoing monopolar cautery tonsillectomy do not experience increased postoperative pain in comparison to HST.

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 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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.793
Threshold uncertainty score0.847

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.053
GPT teacher head0.378
Teacher spread0.325 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations11
Published2009
Admission routes1
Has abstractyes

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