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Record W2334588225 · doi:10.1097/mej.0000000000000324

Renal colic

2015· review· en· W2334588225 on OpenAlexaff
Mike Leveridge, Frank D’Arcy, Dermot O’Kane, Joseph Ischia, David R. Webb, Damien Bolton, Nathan Lawrentschuk

Bibliographic record

VenueEuropean Journal of Emergency Medicine · 2015
Typereview
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsQueen's University
Fundersnot available
KeywordsRenal colicMedicineFlank painEmergency departmentPresentation (obstetrics)Intervention (counseling)Intensive care medicineAcute painConservative managementMedical emergencyGeneral surgerySurgeryAlternative medicineAnesthesiaPathology

Abstract

fetched live from OpenAlex

Flank pain caused by renal colic is a common presentation to emergency departments. This paper reviews the acute clinical assessment of these patients, outlines appropriate diagnostic strategies with labwork and imaging and updates the reader on conservative treatments, suitable choices for analgesia and indications for surgical intervention. Prompt diagnosis and appropriate treatment instituted in the Emergency Department can rapidly and effectively manage this excruciatingly painful condition.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.632
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.203
GPT teacher head0.427
Teacher spread0.224 · 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

Citations31
Published2015
Admission routes1
Has abstractyes

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