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Record W4323353460 · doi:10.1093/jcag/gwac036.076

A76 PHYSICIANS PERCEIVED VALUE OF COMPUTED TOMOGRAPHY SCANS FOR INFLAMMATORY BOWEL DISEASE PATIENTS IN THE EMERGENCY DEPARTMENT: A SURVEY OF CANADIAN PHYSICIANS

2023· article· en· W4323353460 on OpenAlexaffabout
C Roda, I Stiell, C Dube, B Macdonald, H Moloo, A DeBuck, J McCurdy

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2023
Typearticle
Languageen
FieldMedicine
TopicAppendicitis Diagnosis and Management
Canadian institutionsMount Sinai HospitalOttawa Hospital
Fundersnot available
KeywordsMedicineSpecialtyInflammatory bowel diseaseEmergency departmentUlcerative colitisComputed tomographyEmergency medicineDiseaseInternal medicineGeneral surgeryRadiologyFamily medicineNursing

Abstract

fetched live from OpenAlex

Abstract Background Despite concerns regarding the risks of ionizing radiation from computed tomography (CT) imaging, the rates of abdominal pelvic CT (APCT) utilization in the emergency department (ED) continues to increase for patients with inflammatory bowel disease (IBD). Purpose To determine the factors that drive decisions on when to perform APCT imaging in the ED for patients with IBD and to determine if differences exist between physician specialties. Method We performed a quantitative, web-based survey between November 2021 and August 2022. Structured questions for Crohn’s disease (CD) and ulcerative colitis (UC) were developed with input from stakeholders in gastroenterology, surgery, and emergency medicine. Surveys were disseminated to Canadian physicians in each of the three specialities through personal emails, and by newsletter from national specialty organizations. Between specialty comparisons were performed by Chi-squared and Fisher exact tests where appropriate. Result(s) A total of 208 participants responded to our survey: median age 44 years (IQR 37-50), 132 (63%) male, and 141 (68%) in an academic practice. Survey participants included 81 (39%) gastroenterologists, 35 (17%) surgeons and 92 (44%) emergency physicians. There were significant differences between specialties in the perceived rates of positive findings from APCT imaging. In UC, gastroenterologists felt inflammation alone was more common than emergency physicians and bowel obstruction and septic complications less common than surgeons and emergency physicians. In CD, surgeons felt bowel obstructions, septic complications and bowel perforations were more common compared with gastroenterologists and emergency physicians. There were significant differences between specialties in the types of clinical presentations that drove decisions to arrange APCT imaging (Figure 1a&b). In UC, gastroenterologists were less likely to order APCT imaging for diarrhea with rectal bleeding, abdominal pain without peritoneal findings and fever than surgeons and emergency physicians. In CD, there were similar practice patterns between specialities except gastroenterologists were less likely to order APCT imaging for diarrhea with rectal bleeding than surgeons. Image Conclusion(s) Our survey identified key differences between physician specialties in the perceived rates of positive findings from APCT imaging and practice patterns of CT utilization. These findings will help to guide the development of future multidisciplinary consensus guidelines for the appropriateness of CT imaging in the ED for patients with IBD. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest None Declared

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.239
Teacher spread0.227 · 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 designQualitative
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
Published2023
Admission routes2
Has abstractyes

Explore more

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