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Record W2979482072 · doi:10.1097/mpa.0000000000001397

Lowest Case Fatality Rate for Patients With Acute Pancreatitis Admitted in Gastroenterology Units in Veneto Region, Italy

2019· article· en· W2979482072 on OpenAlexaff
L.G. Cavallaro, Bastianello Germanà, Marino Venerito, Luca Frulloni, Fabio Farinati, Armando Gabbrielli, Mario Saïa

Bibliographic record

VenuePancreas · 2019
Typearticle
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsMedicineCase fatality rateConfidence intervalOdds ratioAcute pancreatitisInternal medicineIntensive care unitMortality ratePancreatitisMedical recordGastroenterologyPediatricsEpidemiology

Abstract

fetched live from OpenAlex

OBJECTIVES: This study aimed to evaluate trends in hospitalizations and outcomes of acute pancreatitis (AP) according to first admitting hospital unit and hospital volumes. METHODS: Hospital discharge records of patients with AP admitted in the Veneto Region (Northeast Italy) during the period 2001-2015 were examined. RESULTS: A total of 23,389 patients (54% males; mean age, 62.2 years; standard deviation, 19.3 years) were admitted for AP. Both hospitalization (32.4 to 29.5/100,000 inhabitants per year; P < 0.05) and in-hospital mortality (1.41 to 0.79/100,000 inhabitants per year; P < 0.05) decreased over the study period. Case fatality rate was altogether 3.2%. The percentages of patients admitted in surgery, nongastroenterology medical units, gastroenterology, and intensive care were 52%, 30%, 16%, and 2%, respectively. Fewer fatalities were observed in gastroenterology units (1.7%) compared with nongastroenterology medical units (4.3%; odds ratio, 0.37; 95% confidence interval, 0.28-0.49) and surgical units (2.7%; odds ratio, 0.61; 95% confidence interval, 0.47-0.80). Fatalities decreased progressively with increasing hospital volumes from 3.7% to 2.9% (P < 0.05). CONCLUSION: In the Veneto Region, both hospitalizations and in-hospital mortality for AP significantly decreased over the last 15 years. Case fatality rate was lowest for patients admitted in gastroenterology units.

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)0.000
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 score0.925

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.012
GPT teacher head0.247
Teacher spread0.235 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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