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Record W4391873678 · doi:10.1093/jcag/gwad061.079

A79 PATIENT AND PHYSICIAN PERSPECTIVES ON IMPLEMENTION OF BEDSIDE INTESTINAL ULTRASOUND FOR THE ASSESSMENT OF INFLAMMATORY BOWEL DISEASE

2024· article· en· W4391873678 on OpenAlexaff
Rachael Chan, Michael J. Stewart, Jennifer Jones

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsDalhousie University
Fundersnot available
KeywordsInflammatory bowel diseaseMedicineDiseaseIntensive care medicineGeneral surgeryGastroenterologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background New tools for evaluating Inflammatory Bowel Disease (IBD) activity and complications are needed to deliver timely disease management and improve patient outcomes. Point of care (POC) intestinal ultrasound (IUS) is safe, inexpensive, and less invasive compared to standard endoscopy and imaging. Aims To evaluate the implementation of POC IUS within an ambulatory IBD clinic at the QEII Health Sciences Center. Methods This was a retrospective evaluation of a cohort of patients who had undergone IUS within the Nova Scotia Collaborative Inflammatory Bowel Diseases Clinic (NSCIBD) between January 18, 2023 and August 13, 2023. Medical records were reviewed retrospectively. Patient demographics, disease-related characteristics, perceived impact of IUS on need for endoscopy, perceived impact of IUS on IBD management, and clinical utility of IUS were collected. Surveys were administered prospectively to referring care providers and patients following IUS. Patient surveys assessed IUS satisfaction, acceptance of other methods to assess IBD activity, whether IUS improved knowledge of illness, and impact on quality of life (QoL). Results One physician completed 107 IUS exams on 92 patients at the NSCIBD clinic over a nine-month period. Of 92 patients, 47 (51%) were male and 78 (85%) had Crohn’s disease. 53 patients provided an email and consented to survey participation. 34 responses were submitted (64%). There were 97 responses (91%) from 12 referring gastroenterology specialist clinicians. Ninety-three percent of responses show IUS reports were very helpful (60%) or somewhat helpful (33%). More than a third (37%) of IUS exams were reported to delay or prevent the need for endoscopic evaluation, and 34% were reported to prompt a therapeutic change. Of available tools, IUS had the highest proportion of patients who felt it was completely acceptable (77%), compared to colonoscopy (41%), stool sampling (50%), blood tests (71%), and computed tomography/magnetic resonance imaging (47%). Most (89%) indicated IUS caused either no discomfort (68%) or little discomfort (21%), with no patient reporting a lot of discomfort. Some patients (41%) reported that IUS improved their understanding of their illness, and 38% believe it improved their QoL. Conclusions POC IUS offers an accurate, less invasive option for monitoring IBD activity compared to traditional investigations. There is limited data on implementation of, and patient and clinician perspectives regarding use of IUS and its clinical implications. Even early in implementation, POC IUS has clear benefits. This study suggests that IUS is highly acceptable to patients for investigating/monitoring their illness. Treating clinicians find significant value in IUS and report that it can prevent the need for endoscopic evaluation and prompt changes in therapeutic management. Funding Agencies None

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)0.004
metaresearch head score (Gemma)0.020
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 score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
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 head0.004
GPT teacher head0.242
Teacher spread0.237 · 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
Published2024
Admission routes1
Has abstractyes

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