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Record W4400158287 · doi:10.12998/wjcc.v12.i21.4856

Non-steroidal anti-inflammatory drugs in postoperative hand fracture management: Do they positively or negatively impact recovery?

2024· article· en· W4400158287 on OpenAlexaff
Andrew Gorgy, Jacqueline Dalfen, Natasha Barone, Johnny Ionut Efanov

Bibliographic record

VenueWorld Journal of Clinical Cases · 2024
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsUniversity of TorontoMcGill University Health CentreCentre Hospitalier de l’Université de MontréalMcGill University
Fundersnot available
KeywordsMedicineAnti-inflammatoryAnesthesiaPharmacology

Abstract

fetched live from OpenAlex

This editorial explores the impact of non-steroidal anti-inflammatory drugs (NSAIDs) on postoperative recovery in hand fracture patients, amidst shifting pain management strategies away from opioids due to their adverse effects. With hand fractures being significantly common and postoperative pain management crucial for recovery, the potential of NSAIDs offers a non-addictive pain control alternative. However, the controversy over NSAIDs' effects on bone healing-stemming from their Cyclooxygenase-2 inhibition and associated risks of fracture non-union or delayed union-necessitates further investigation. Despite a comprehensive literature search, the study finds a lack of specific research on NSAIDs in postoperative hand fracture management, highlighting an urgent need for future studies to balance their benefits against possible risks.

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)0.002
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 score0.426
Threshold uncertainty score0.530

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.028
GPT teacher head0.380
Teacher spread0.353 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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