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Record W2803649204 · doi:10.1002/lary.27227

Appropriateness criteria predict outcomes for sinus surgery and may aid in future patient selection

2018· article· en· W2803649204 on OpenAlexaff
Daniel M. Beswick, Jess C. Mace, Zachary M. Soler, Noel Ayoub, Luke Rudmik, Adam S. DeConde, Timothy L. Smith

Bibliographic record

VenueThe Laryngoscope · 2018
Typearticle
Languageen
FieldMedicine
TopicSinusitis and nasal conditions
Canadian institutionsUniversity of Calgary
FundersNational Institute on Deafness and Other Communication DisordersNational Institutes of Health
KeywordsMedicineChronic rhinosinusitisCohortEndoscopic sinus surgeryAppropriateness criteriaSurgeryInternal medicineRadiology

Abstract

fetched live from OpenAlex

OBJECTIVES: Appropriateness criteria to determine surgical candidacy for chronic rhinosinusitis (CRS) have recently been described. This study stratified patients who underwent endoscopic sinus surgery (ESS) according to these new appropriateness criteria and evaluated postoperative improvements among appropriateness categories. METHODS: Adult patients with uncomplicated CRS electing ESS were prospectively enrolled in a multi-institutional cohort study between March 2011 and June 2015 to assess outcomes. Subsequently, appropriateness criteria that consider preoperative medical therapy, 22-item SinoNasal Outcome Test (SNOT-22) scores, and Lund-Mackay computed tomography scores were retrospectively applied. RESULTS: A total of 92.6% (436 of 471) were categorized as "appropriate" ESS candidates, 3.8% (18 of 471) as "uncertain," and 3.6% (17 of 471) as "inappropriate." Among uncertain patients, two-thirds (12 of 18) had identifiable reasons for undergoing ESS, most commonly oral corticosteroid intolerance (n = 6). Postoperative follow-up was available for 79% (n = 372). Clinically significant SNOT-22 improvements occurred in both appropriate and uncertain groups (all P < 0.050) but not among the inappropriate group. The inappropriate group reported less mean improvement in SNOT-22 total score compared to appropriate (P = 0.008) and uncertain (P = 0.006) groups. CONCLUSION: The vast majority of patients (∼93%) who underwent ESS in a multi-institutional research program were identified as appropriate candidates for surgical intervention, as defined by current appropriateness criteria. Valid considerations frequently exist for offering ESS to patients categorized as uncertain. Appropriate and uncertain candidates report similar, clinically significant SNOT-22 improvements following surgery. Patients classified as inappropriate reported significantly less improvement following ESS. Surgical appropriateness criteria may assist in predicting outcomes of ESS. LEVEL OF EVIDENCE: 2b. Laryngoscope, 2448-2454, 2018.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.279

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.020
GPT teacher head0.293
Teacher spread0.272 · 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

Citations18
Published2018
Admission routes1
Has abstractyes

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