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Record W3169338240 · doi:10.1093/ecco-jcc/jjab076.372

P246 Development of a new Inflammatory Bowel Disease Patient Identifier shortens time to clinic review and initiation of treatment

2021· article· en· W3169338240 on OpenAlexaboutno aff
Desmond Chee, Benjamin Hamilton, Vida Cairnes, Simeng Lin, Neil Chanchlani, Tariq Ahmad, James Goodhand, Nicholas A. Kennedy

Bibliographic record

VenueJournal of Crohn s and Colitis · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInflammatory bowel diseaseObservational studyEndoscopyUlcerative colitisRetrospective cohort studyCohortInternal medicineDiseaseCrohn's diseaseGeneral surgeryPediatrics

Abstract

fetched live from OpenAlex

Abstract Background Timely diagnosis of inflammatory bowel disease (IBD) is important because earlier use of biologic therapies leads to mucosal healing, a reduction in hospitalisations and surgeries and improvements in quality of life. In the United Kingdom, general practitioners refer patients with symptoms suggestive of IBD to colorectal surgeons, emergency department physicians, gastroenterologists or directly for a lower gastrointestinal endoscopy. Consequently, there is variation in the time from endoscopic diagnosis of IBD to specialist review. We created an electronic tool that screens all endoscopy reports for a new diagnosis of IBD. These cases are then reviewed in our weekly complex multidisciplinary team (MDT) meeting and new patients are allocated an IBD specialist. We sought to determine whether our new patient identifier reduced the time to clinical review by an IBD specialist and initiation of IBD treatment. Methods We designed a retrospective observational cohort study comparing time from endoscopic diagnosis of IBD to initiation of treatment and IBD specialist review. Outcomes were compared in the 18 months before and after the introduction, in January 2018, of our new IBD patient identifier. Demographic, endoscopic and treatment outcome data were recorded from our electronic patient record. Categorical and continuous variables were summarised as frequencies (%) and median [IQR] and compared with Fisher’s exact and Mann Whitney U tests respectively. Results Between the 1st January 2018 and 30th June 2019, 116 new patients diagnosed with IBD were identified and reviewed in our MDT meeting. In the preceding 18 months, 111 patients were diagnosed with IBD. There were no significant differences between groups according to sex, age, age at diagnosis, disease type, or phenotype according to the Montreal classification (Table 1). Both the median time from endoscopic diagnosis to treatment initiation (0 days [IQR 0 – 14.2] vs 14 days [IQR 0 – 31.6], p=0.007) and specialist clinic review (21 days [IQR 7 - 25] vs 48 days [IQR 34 – 63], p<0.0001) were shorter following the introduction of the new IBD patient identifier screening tool (Figure 1). Conclusion Systematic electronic screening of endoscopic reports linked to MDT review reduces the time to first treatment and specialist review in newly diagnosed patients with IBD.

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)0.003
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 spread0.248 · 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 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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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