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Record W2121449672 · doi:10.1086/381029

Acceptable Rates of Treatment Failure in Osteomyelitis Involving the Diabetic Foot: A Survey of Infectious Diseases Consultants

2004· article· en· W2121449672 on OpenAlex

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

VenueClinical Infectious Diseases · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Identification and Susceptibility Testing
Canadian institutionsMcMaster University
FundersNational Institute of Allergy and Infectious DiseasesCenters for Disease Control and Prevention
KeywordsMedicineOsteomyelitisDiabetic footFailure rateIntensive care medicineAntimicrobialAntibiotic resistanceAntibioticsSurgeryDiabetes mellitus

Abstract

fetched live from OpenAlex

Shortening the duration of antibiotic therapy is an attractive strategy for delaying the emergence of antimicrobial resistance. The paucity of data about optimal treatment durations hinders adoption of this approach. This study used contingent valuation analysis to identify failure rates for treatment of diabetic foot osteomyelitis acceptable to infectious diseases consultants (IDCs). The Infectious Diseases Society of America's Emerging Infections Network (EIN) provided members with the case scenario and 1 of 10 failure rates; members were asked, assuming delivery of standard therapy, if they would accept or reject the given failure rate. The relationship between specific failure rates and the willingness of IDCs to accept them was analyzed. The median acceptable failure rate for EIN members was 18.1%; 75% of IDCs found a failure rate of 7.8% to be acceptable, and 25% found a rate of 28.4% to be acceptable. The methodology used in this study may prove useful in delineating acceptable treatment failure thresholds, an initial step in shortening durations of antimicrobial therapy.

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)0.000
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.008
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 head0.042
GPT teacher head0.342
Teacher spread0.300 · 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