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Record W4400192178 · doi:10.1136/gutjnl-2024-bsg.157

P75 ‘IBD-Dermatology’: a novel and collaborative working model

2024· article· en· W4400192178 on OpenAlexaboutno aff
Amaani B Hussain, R Ally Speight, Nick J. Reynolds, Alison Havelin, Stephanie Ball, Christopher A Lamb

Bibliographic record

VenuePoster presentations · 2024
Typearticle
Languageen
FieldMedicine
TopicMedicine and Dermatology Studies History
Canadian institutionsnot available
Fundersnot available
KeywordsDermatologyComputer scienceMedicineComputer graphics (images)

Abstract

fetched live from OpenAlex

Introduction Skin disease occurs in 10% of patients with inflammatory bowel disease (IBD), most commonly in patients with active disease and a positive family history.1 Our gastroenterology-dermatology clinic (GDC) allows patients to be reviewed jointly by a gastroenterologist and dermatologist. In this study, we aimed to analyse clinical data from our patient cohort and survey patient satisfaction. Methods We reviewed the electronic health records of patients seen within the GDC and collected demographic and clinical data. We distributed an anonymous patient survey to those attending clinic in July 2023 to evaluate satisfaction following their appointment. Results Data was gathered from ten 3-monthly clinics between July 2021–October 2023 (105 appointments). Of forty-four patients attending the GDC (16:28 male: female, median age 36 (18–76)), 89% had IBD (Crohn’s disease (CD) n=32, ulcerative colitis (UC) n=7). Dermatological diagnoses included psoriasis (n=11, 25%), eczema (n=9, 20%), hidradenitis suppurativa (HS) (n=10, 23%, Hurley stage: I (n=2), II (n=2), III (n=2), scoring not documented (n=4)), cutaneous CD (n=9, 20%) and pyoderma gangrenosum (n=5, 11%). Three patients had overlapping cutaneous CD and HS. Four patients with psoriasis were paradoxical secondary to anti-TNF therapy. Most patients attended the clinic multiple times (median attendance=2 (1–9)). Twenty-four CD patients (75%) commenced biologic therapy. Twelve had therapy initiated for both the dermatological diagnosis and CD. Most common CD Montreal classifications were A2 (n=17, 53%), L2 and L3 (n=31, 97%), B1 (N=18, 58%), P (n=14, 44%). Proactive alteration of systemic therapy was undertaken in 32% (35/105) and investigations arranged in 37% (39/105) of appointments. Patient survey (n=10) responses were positive with a median satisfaction score of 50/50 (45–50). Patients particularly valued the proactive decision-making regarding related aspects of their care at one appointment. Conclusions The joint GDC model serves a complex group of patients with IBD and medical dermatological diagnoses. Following simultaneous review by a dermatologist and gastroenterologist in the GDC, prompt initiation of appropriate systemic therapy, particularly biologics, can be carried out, often aimed to address both speciality diagnoses. We encourage other centres to adopt such a model for patients with IBD and a relevant dermatological diagnosis to optimise patient care. Reference Vavricka SR, Brun L, Ballabeni P, et al. Am J Gastroenterol. 2011;106(1):110–9.

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)0.014
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.017
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0050.010
Scholarly communication0.0140.011
Open science0.0030.015
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0170.007

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 head0.046
GPT teacher head0.334
Teacher spread0.288 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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