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Record W2486736482 · doi:10.1136/bcr-2016-216048

Ciprofloxacin and statin interaction: a cautionary tale of rhabdomyolysis

2016· article· en· W2486736482 on OpenAlex
Fraser C. Goldie, Amy Brogan, James Graham Boyle

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBMJ Case Reports · 2016
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsFraser Health
Fundersnot available
KeywordsMedicineDiscontinuationSimvastatinCiprofloxacinRhabdomyolysisStatinUrinary systemAtorvastatinMedical historyWeaknessInternal medicineAntibioticsSurgery

Abstract

fetched live from OpenAlex

A 62-year-old woman presented to hospital, on general practitioner (GP) advice, with a 15-day history of slowly progressing muscle weakness. Results showed newly deranged liver function and creatine kinase (CK) of >24 000. Prior medical history includes previous myocardial infarction and recurrent urinary tract infection. 4 days prior to symptom onset, the patient developed typical urinary tract infection symptoms, treated with ciprofloxacin. The patient had been taking simvastatin (40 mg nocte) for 13 years and had never previously taken ciprofloxacin. Initial management included intravenous crystalloid fluids and discontinuation of simvastatin. CK level fell, liver function slowly improved and renal function remained stable. Muscle weakness improved and the patient became independently able to perform activities of daily living. While the interactions between statins and other antibiotics are well documented, the interaction between statins and ciprofloxacin is less so. The consequences of this interaction can have potentially serious outcomes.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.324
Threshold uncertainty score0.220

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.314
Teacher spread0.295 · 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