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Effect of Physician Specialty and Call Back Endoscopy Teams in Non-Variceal Upper Gastrointestinal Bleeding: A Comparison between Two Health Regions

2010· article· en· W2921813002 on OpenAlexaffabout
Mike OʼByrne, Sanchu Bhasin, Jennifer Jones

Bibliographic record

VenueThe American Journal of Gastroenterology · 2010
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Bleeding Diagnosis and Treatment
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineSpecialtyUpper gastrointestinal bleedingDescriptive statisticsGastrointestinal bleedingMortality rateEndoscopyEmergency medicineFamily medicineInternal medicine

Abstract

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Purpose: Non-variceal upper gastrointestinal bleeding (NVUGIB) is a common medical emergency and a frequent cause for admission to Canadian hospitals. There is significant morbidity and mortality associated with these admissions. In certain Canadian health regions, many NVUGIB are admitted to general surgical wards and many do not have call back endoscopy teams. The effect of these factors on mortality and re-bleeding is unknown. Methods: We examined two similar health regions which differed in the management of NVUGIB. The Saskatoon Health Region (SHR) has no formal call back endoscopy team and 40% of NVUGIB patients were admitted to a general surgery ward. In contrast, the Regina Qu'Appelle Health Region (RQHR) has a formal call back team and 80% of patients are admitted to a GI ward. ICD-10 codes were used to identify patients with a primary or secondary diagnosis of NVUGIB admitted to the SHR or RQHR between January 2008 and February 2010. The primary outcomes of interest were mortality and 30-day re-bleeding rates. Primary outcomes were also stratified by health region, endoscopist specialty, and weekend admission. Descriptive statistics using mean, medians and ranges were used to describe demographic and patient variables. Group comparisons of proportions and means were performed using Chi-square analysis and Student's t-test. Results: The mortality rate across both health regions for NVUGIB was 12.4% with 15.8% experiencing rebleeding and 3.6% readmitted within thirty days due to re-bleeding. There was no significant mortality difference between health regions (14.7% vs. 10.1% p=0.1), but there was a significant increase in rebleeding (23.1% vs. 8.5% p=<0.001; CI 0.17-0.30) and readmission (6.9% vs. 0.6% p=0.002; CI 0.03-0.11) in the SHR. This was unchanged when adjusted for age and comorbidities by logistic regression with an odds ratio of 3.11 (p=0.001; CI 1.6-5.9). Mortality and rebleeding rates were similar independent of endoscopist specialty. Readmission rates were higher across both health regions if admitted to a general surgeon versus gastroenterologist (7.5% vs. 1.9% p=0.01; CI 0.89-0.99). There was no significant weekend effect. Early endoscopy (<24 hrs) was significantly more frequent within the RQHR (84.7% vs. 65.0%; p<0.001; CI 1.13-1.36) and if the attending physician was a gastroenterologist (80.5% vs. 65.1% p=0.009; CI 1.13-1.36). Conclusion: Mortality rates across both health regions were higher than the national average, but not statistically different between the two. The presence of gastroenterologists admitting a larger proportion of NVUGIB and formal call back teams was associated with decreased rebleeding rates, readmission rates, and increased rates of early endoscopy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.248
Threshold uncertainty score0.492

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.314
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations0
Published2010
Admission routes2
Has abstractyes

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