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Record W4318539874 · doi:10.1093/ecco-jcc/jjac190.0555

P425 The utility of intestinal ultrasound to inform clinical decision making

2023· article· en· W4318539874 on OpenAlexaffabout
F Yeaman, Remo Panaccione, Christopher Ma, Cathy Lu, Cynthia H. Seow, Gilaad G. Kaplan, Brooke Maracle, K Novak

Bibliographic record

VenueJournal of Crohn s and Colitis · 2023
Typearticle
Languageen
FieldMedicine
TopicAppendicitis Diagnosis and Management
Canadian institutionsFoothills Medical CentreUniversity of Calgary
Fundersnot available
KeywordsMedicineUlcerative colitisAsymptomaticInflammatory bowel diseaseFaecal calprotectinInternal medicineReferralProspective cohort studyInformed consentCalprotectinCohortCrohn's diseaseDiseaseAlternative medicineFamily medicinePathology

Abstract

fetched live from OpenAlex

Abstract Background Inflammatory bowel disease (IBD) is a chronic, immune-mediated disease leading to progressive bowel damage. Objective monitoring is essential to improve outcomes. Intestinal ultrasound (IUS) is an accurate, repeatable modality preferred by patients. The aim of this study was to evaluate changes in medical therapy and further tests requested, when IUS is used routinely to follow patients in an expert centre. Methods This is a single centre, prospective observational cohort study. All recruited provided informed consent with ethics approval through the University of Calgary. Patients over the age of 18 years were recruited via convenience sampling from October 1, 2020 to September 31, 2022. Patients were part of a registry where clinic-based IUS is standard of care. Patient demographics, medical treatment changes and further investigations were recorded. IUS were performed by an IBD gastroenterologist trained in advanced IUS. Patients were classified as symptomatic (Harvey Bradshaw Index [HBI] ≥5) or asymptomatic (HBI<5). IUS were categorised as inactive if the bowel wall thickness (BWT) was <3mm without colour Doppler and inflammatory mesenteric fat) or active (BWT ≥3mm, colour Doppler ≥2 and presence of inflammatory fat). Data were reviewed regarding management: medication changes were defined as dose change, addition of corticosteroids or other medication and medication change. Referral for surgical opinion was recorded. Further outcomes included faecal calprotectin, stool for infection, blood tests, endoscopy, imaging or hospital admission. Results 138 episodes of care were logged including 103(74%) with Crohn’s disease, 16(12%) with ulcerative colitis, 2(1.4%) with IBD-unclassified, 13(9.4%) without IBD investigated for symptoms and 4(2.9%) not recorded. Figure 1 shows symptomatic and active episodes compared to asymptomatic and inactive. IUS were performed: for flare symptoms in 22(16%); for monitoring in 107(78%); or to investigate symptoms in 9(6.5%). IBD medication was escalated in 22(52%) patients with active IUS disease plus symptoms and in 9(39%) asymptomatic patients with active IUS. Medication escalation was performed in 4(16%) symptomatic patients with inactive IUS and 2(4.2%) asymptomatic patients with inactive IUS based on low drug level or adverse events. One patient had medication reduced in frequency due to the IUS findings(Table 1). No hospital admissions occurred following IUS. Conclusion Active IUS triggered treatment modification in almost 40% of patients, regardless of symptoms. Future studies will assess benefits of timely treatment changes for long term outcome. IUS supports a clinician at the bedside to make timely clinical decisions that may avoid invasive testing and decrease resource limited 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 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score0.252

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.056
GPT teacher head0.391
Teacher spread0.335 · 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".

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Citations0
Published2023
Admission routes2
Has abstractyes

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