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Record W3096962057 · doi:10.5489/cuaj.6749

Location of residence and mortality for patients diagnosed with Fournier’s gangrene

2020· article· en· W3096962057 on OpenAlexaffvenueabout
Rachel Wong, Rubén Blachman-Braun, Uday Mann, Amanda Eng, Sylvain Lother, Premal A. Patel

Bibliographic record

VenueCanadian Urological Association Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicAppendicitis Diagnosis and Management
Canadian institutionsUniversity of AlbertaUniversity of Manitoba
Fundersnot available
KeywordsMedicineInterquartile rangeGangreneOdds ratioComorbidityMortality rateColostomyConfidence intervalIntensive care unitSurgeryCharlson comorbidity indexInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Fournier's gangrene (FG) is a necrotizing infection of the genitalia. Time from to surgical intervention is a critical determinant of prognosis. We sought to investigate whether patients from rural locations have worse clinical outcomes given distance from a tertiary center. METHODS: The Manitoba Intensive Care Unit (ICU) registry includes patients who have been admitted into ICUs across Manitoba. We identified patients admitted with FG from February 1999 to October 2019. Age, gender, Charlson comorbidity index (CCI), presence of colostomy and scrotal debridement, length of stay (LOS), and mortality outcomes were obtained. Patients were categorized as being rural or urban. RESULTS: From 1999-2019, a total of 79 patients were admitted with FG. The median age was 60 years [interquartile range [IQR] 48-67). The mortality rate during hospitalization was 16.5%. There was no statistically significant difference in the number of deaths for patients from urban vs. rural dwellings (9/47 [19.1%] vs. 4/32 [12.5%], p=0.434]. A comparison of the 66 (83.5%) patients that survived and the 13 (16.5%) that died during ICU hospitalization demonstrated no difference in age, gender, CCI, presence of colostomy, and rates of scrotal re-debridement (p>0.05). Multivariable analysis demonstrated that living in a rural area was not associated with increased mortality (odds ratio 0.64, 95% confidence interval 00.16-2.57, p=0.527). CONCLUSIONS: Location of residence was not predictive of death from FG. In addition, baseline characteristics such as age, gender, CCI, surgical interventions, or LOS were not found to be associated with mortality.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.013
Threshold uncertainty score0.211

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.023
GPT teacher head0.249
Teacher spread0.226 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations6
Published2020
Admission routes3
Has abstractyes

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