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Record W2157604340 · doi:10.1136/ebm.12.1.23

Review: opiate administration may alter physical examination findings but does not increase management errors in acute abdominal pain

2007· letter· en· W2157604340 on OpenAlexaff
Marcia L. Edmonds

Bibliographic record

VenueEvidence-Based Medicine · 2007
Typeletter
Languageen
FieldMedicine
TopicAppendicitis Diagnosis and Management
Canadian institutionsWestern University
Fundersnot available
KeywordsOpiateMedicineAdministration (probate law)Acute abdominal painPain managementAnesthesiaAbdominal painIntensive care medicineInternal medicinePolitical science

Abstract

fetched live from OpenAlex

Ranji SR, Goldman LE, Simel DL, et al. Do opiates affect the clinical evaluation of patients with acute abdominal pain? JAMA 2006;296:1764–74. [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q In patients with acute abdominal pain, does opiate administration for pain relief alter history and physical examination findings and increase management errors? Clinical impact ratings GP/FP/Primary care ★★★★★★☆ Gastroenterology ★★★★★★☆ Surgery—general ★★★★★★☆ Surgery—gastrointestinal ★★★★★★☆ Emergency medicine ★★★★★☆☆ ### ![Graphic][5]</img>Data sources: Medline (to May 2006), EMBASE/Excerpta Medica, and bibliographies of relevant studies. ### ![Graphic][6]</img>Study selection and assessment: randomised controlled trials (RCTs) or quasi-randomised controlled trials that compared opiate analgesia with placebo and reported changes in history, physical examination findings or clinical management in patients with acute abdominal pain. 12 RCTs, 9 in adults (n = 1062) and 3 in children (n = 291), met the selection criteria. Quality … [1]: {openurl}?query=rft.jtitle%253DJAMA%26rft.stitle%253DJAMA%26rft.issn%253D0002-9955%26rft.aulast%253DRanji%26rft.auinit1%253DS.%2BR.%26rft.volume%253D296%26rft.issue%253D14%26rft.spage%253D1764%26rft.epage%253D1774%26rft.atitle%253DDo%2Bopiates%2Baffect%2Bthe%2Bclinical%2Bevaluation%2Bof%2Bpatients%2Bwith%2Bacute%2Babdominal%2Bpain%253F%26rft_id%253Dinfo%253Adoi%252F10.1001%252Fjama.296.14.1764%26rft_id%253Dinfo%253Apmid%252F17032990%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1001/jama.296.14.1764&link_type=DOI [3]: /lookup/external-ref?access_num=17032990&link_type=MED&atom=%2Febmed%2F12%2F1%2F23.atom [4]: /lookup/external-ref?access_num=000241103400025&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
models splitAgreement compares identical category sets and study designs across arms.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.232
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.041
GPT teacher head0.343
Teacher spread0.301 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designObservational · Not applicable
Domainnot available
GenreEmpirical · Commentary

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
Published2007
Admission routes1
Has abstractyes

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