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Record W4283817366 · doi:10.1111/acem.14556

Hot off the press: Low‐risk, recurrent abdominal pain in the emergency department

2022· article· en· W4283817366 on OpenAlexaff
Justin Morgenstern, Kirsty Challen, Corey Heitz, William K. Milne

Bibliographic record

VenueAcademic Emergency Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicAppendicitis Diagnosis and Management
Canadian institutionsWestern UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineEmergency departmentAbdominal painComplaintAnxietyEmergency medicinePsychiatrySurgery

Abstract

fetched live from OpenAlex

Recurrent abdominal pain is a common complaint in the emergency department, but the appropriate workup and management of patients with frequent visits is unclear. We discuss the GRACE-2 guidelines on low-risk, recurrent abdominal pain in the emergency department published in Academic Emergency Medicine, May 2022. The guidelines address 4 issues: the role of repeat computed topography (CT) when another CT has been performed within 12 months, the role of ultrasound after a negative CT, the role of screening for depression and anxiety, and the role of opioids. We provide critical analysis of the article, and summarize the social media discussion and a podcast in which the authors discuss their work.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0120.000

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 head0.042
GPT teacher head0.339
Teacher spread0.296 · 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.

Study designNot applicable
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

Citations0
Published2022
Admission routes1
Has abstractyes

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