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Record W2230030491 · doi:10.5055/jom.2007.0033

Opioid administration for acute abdominal pain in the pediatric emergency department

2007· review· en· W2230030491 on OpenAlexaff
Adi Klein‐Kremer, Ran D. Goldman

Bibliographic record

VenueJournal of Opioid Management · 2007
Typereview
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineEmergency departmentOpioidAcute painAbdominal painDosingAnesthesiaAcute abdominal painEtiologyIntensive care medicineEmergency medicineSurgeryInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

The use of opioid analgesia for acute abdominal pain of unclear etiology has traditionally been thought to mask symptoms, alter physical exam findings, delay diagnosis, and increase morbidity and mortality. However, studies in children and adults have demonstrated that administering intravenous opioids to patients with acute abdominal pain induces analgesia but does not delay diagnosis or adversely affect diagnostic accuracy. This review discusses the effects of opioid administration on pain relief and diagnostic accuracy in children with moderate to severe acute abdominal pain who have been evaluated in the emergency department. We hold that current evidence supports the administration of opioids to children with acute abdominal pain, and future trials will help determine safe and effective timing and dosing related to opioid administration.

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)0.000
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.868
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.045
GPT teacher head0.393
Teacher spread0.348 · 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
GenreReview

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

Citations14
Published2007
Admission routes1
Has abstractyes

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