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Record W3127707579 · doi:10.1136/bcr-2020-237784

Fournier’s gangrene with dapagliflozin in a rural hospital: a case report

2021· article· en· W3127707579 on OpenAlex
Ali Elbeddini, Yasamin Tayefehchamani, Michelle Davey, Jodi Gallinger, Naushin Hooda, Ahmed Aly, D. Erickson, Stephanie J. Lee

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 · 2021
Typearticle
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsYork Central HospitalUniversity of WaterlooUniversity of TorontoUniversity of Ottawa
Fundersnot available
KeywordsDapagliflozinMedicineNecrotising fasciitisGangreneType 2 diabetesDiabetes mellitusSurgeryGenitourinary systemIncision and drainageFournier gangreneFasciitisAbscessInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

Sodium-glucose cotransporter 2 (SGLT2) inhibitors, which are used for treatment of type 2 diabetes, are associated with risk of urogenital infections. FDA issued a black box warning about multiple case reports of Fournier's gangrene (FG) observed in patients taking SGLT2 inhibitors. FG is a type of necrotising fasciitis that occurs in the anogenital area. We report a case of a 71-year-old woman with type 2 diabetes on dapagliflozin, presenting with foul-smelling discharge and a large abscess in the perianal area. Her risk factors for FG included her advanced age, obesity, diabetes and trauma to the site. During her stay, dapagliflozin was discontinued and she received procedural debridement, wound care and broad-spectrum intravenous antibiotics. Due to possible association between FG and SGLT2 inhibitors, patients presenting with signs and symptoms of FG who are taking SGLT2 inhibitors should be examined for infection in the urogenital area and treated promptly.

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)0.000
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 score0.232
Threshold uncertainty score0.685

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.323
Teacher spread0.303 · 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