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Record W2895833431 · doi:10.1177/1054773818820175

Oligoanalgesia in Adult Colles Fracture Patients Admitted to the Emergency Department

2018· article· en· W2895833431 on OpenAlexaffabout
Ashley Pasiorowski, Kärin Olson, Sunita Ghosh, Lynne Ray

Bibliographic record

VenueClinical Nursing Research · 2018
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsAlberta Cancer FoundationUniversity of AlbertaAlberta Health Services
Fundersnot available
KeywordsColles' fractureMedicineEmergency departmentIncidence (geometry)HomogeneousEmergency medicinePhysical therapySurgeryWrist

Abstract

fetched live from OpenAlex

Pain is a complex symptom to assess properly and it is often poorly managed in the Emergency Department. The majority of research has focused on exploring oligoanalgesia in samples of patients with heterogeneous injuries. The occurrence of oligoanalgesia in a homogeneous injury, such as Colles fracture, has yet to be explored. A retrospective chart review was conducted to determine the incidence of oligoanalgesia in adults with Colles fractures admitted to two urban Emergency Departments in Western Canada. Data were collected from one hundred fifty charts from a 5-year period (2009-2014). Age and gender predicted of pain assessment (p = .019), but were not significantly associated with receipt of an opioid or pain reassessment. Pain reassessment was only completed in 47% of patients who received an initial pain assessment; this was significantly different from current best practice standards ( p = .0002).

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)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.485
Teacher spread0.430 · 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 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

Citations8
Published2018
Admission routes2
Has abstractyes

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