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Record W2494423133 · doi:10.1097/sa.0000000000000244

Pregabalin Reduces Postoperative Opioid Consumption and Pain for 1 Week After Hospital Discharge but Does Not Affect Function at 6 Weeks or 3 Months After Total Hip Arthroplasty

2016· article· en· W2494423133 on OpenAlex

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

VenueSurvey of Anesthesiology · 2016
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsMcMaster UniversityHealth Sciences CentreOttawa HospitalYork UniversityToronto General HospitalUniversity of TorontoUniversity of OttawaSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicinePregabalinPerioperativeAnesthesiaArthroplastyOpioidTotal hip arthroplastyCelecoxibPostoperative painHip arthroplastySurgeryInternal medicine

Abstract

fetched live from OpenAlex

(Abstracted from Br J Anaesth, 115(6):903–911, 2015) The perioperative use of pregabalin to reduce postoperative pain in patients receiving hip arthroplasty has shown promise. The authors of this study sought to determine how effective the administration of pregabalin, when added to celecoxib, could be at relieving pain for an extended period after surgery.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.027
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.254
Teacher spread0.234 · 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