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Record W2793330250 · doi:10.1093/ecco-jcc/jjx180.387

P260 Point of Care Ultrasound (POCUS) when performed by gastroenterologists with 200 supervised scans is accurate and clinically useful for patients with Crohn’s disease

2018· article· en· W2793330250 on OpenAlexaffabout
I Wang, MA Kamm, Darren Wong, Sally Bell, William Connell, Alexander Thompson, Kerri L. Novak, Emily K. Wright

Bibliographic record

VenueJournal of Crohn s and Colitis · 2018
Typearticle
Languageen
FieldMedicine
TopicDiverticular Disease and Complications
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineColonoscopyUltrasoundCrohn's diseaseRadiologyVirtual colonoscopyAbscessMagnetic resonance imagingInflammatory bowel diseaseInternal medicineDiseaseSurgery

Abstract

fetched live from OpenAlex

IBD imaging involves invasive ileo-colonoscopy, radiation-exposing CAT (Computerised Axial Tomography) or high cost and limited availability MRE (Magnetic Resonance Enterography). In contrast, point of care ultrasound (POCUS), performed by a gastroenterologist in the IBD clinic, provides immediate, cheap, and convenient imaging. Preliminary data suggest good accuracy, but confirmation is required. We hypothesised that POCUS provides accurate and clinically useful information in patients with Crohn’s disease. Disease activity, disease extent and the presence of complications [entero-enteric fistula and extra mural complication (abscess)] were assessed by POCUS, MRE and ileo-colonoscopy. At a single-centre, a single-gastroenterologist conducted POCUS scans within three months of either MRE or ileo-colonoscopy without intervening change in medical therapy. The gastroenterologist had performed 200 previous supervised scans in patients with IBD at a high volume intestinal ultrasound centre (Foothills Medical Centre, Calgary, Canada), a training level regarded as the minimum required to achieve independent competence. The accuracy of POCUS was analysed with respect to both MRE and ileo-colonoscopy and its agreement with these modalities assessed using kappa coefficient. 43 patients (49% males) with confirmed Crohn’s disease had a POCUS that was paired with MRE and 38 patients (47% males) had a POCUS paired with ileo-colonoscopy. When compared with ileo-colonoscopy POCUS was accurate in the assessment of disease activity (sensitivity 72%, specificity 86%, ROC 0.79) and extent (sensitivity 85.7%, specificity 86%, ROC 0.86). No analysis was made for POCUS in relation to lleo-colonoscopy for the accuracy of diagnosing complications due to the low number of patients with complications diagnosed at ileo-colonoscopy. For POCUS and ileo-colonoscopy kappa estimates were 0.55 (95% CI 0.30–0.80) p < 0.001 for disease activity and 0.62 (95% CI 0.32 – 0.92) p < 0.001 for disease extent. When compared with MRE, POCUS was accurate in the assessment of disease activity (sensitivity 87.5%, specificity 61.1%, ROC 0.74), extent (sensitivity 77.8%, specificity 83.3%, ROC 0.81) and complications (sensitivity 85.7%, specificity 94.3%, ROC 0.90). Agreement between POCUS and MRE was good (kappa estimates 0.50 (95% CI 0.24–0.76) p < 0.001, 0.61 (95% CI 0.37–0.85) p < 0.001 and 0.76 (95% CI 0.50 – 1.00) p < 0.001) for disease activity, extent and complications respectively. POCUS performed by gastroenterologists with a minimum training fulfilment is accurate for assessing Crohn’s disease activity, extent and the presence of complications.

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 score0.027
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.011
GPT teacher head0.260
Teacher spread0.249 · 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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Citations1
Published2018
Admission routes2
Has abstractyes

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