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Record W2922099952 · doi:10.1093/jcag/gwz006.089

A90 SCREENING FOR COMORBID SERONEGATIVE ARTHRITIS AND INFLAMMATORY BOWEL DISEASE IN AN AMBULATORY GASTROENTEROLOGY AND RHEUMATOLOGY PRACTICE MODEL

2019· article· en· W2922099952 on OpenAlexaff
Natasha Bollegala, Natasha Gakhal, Husayn Marani, Cherry Chu

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsWomen's College Hospital
Fundersnot available
KeywordsMedicineInternal medicineRheumatologyInflammatory bowel diseaseAmbulatoryCohortOutpatient clinicDiseaseArthritisLogistic regressionGastroenterologyPhysical therapy

Abstract

fetched live from OpenAlex

The most common extra-intestinal manifestation of inflammatory bowel disease (IBD) is arthritis with a prevalence of 17–39%. Two thirds of patients with seronegative spondyloarthropathies show histologic signs of gut inflammation, and some of these patients go on to develop clinical symptoms of IBD. Though the frequency of bowel and joint symptoms in the respective diseases has been well published there is no data that shows how frequently these symptoms are screened for and the extent of screening. This is important knowledge as the identification of comorbid disease may have a critical impact on initiation of therapy and reduction in disease related morbidity. The objective of this study was to determine the frequency and type of screening for bowel and joint symptoms in outpatient rheumatology and gastroenterology (GI) clinics in an academic ambulatory hospital. A retrospective cohort study was performed using data from a sample of gastroenterology (n=221) and rheumatology (n=172) patients recorded in the electronic medical record between January 1, 2015 and December 31 2017. Data was extracted between February 1st, 2018 and May 31st, 2018. Data on patient characteristics, disease type, medications and presence and method of screening was manually extracted data from each patient’s electronic chart. Chi-square tests of independence were conducted to assess the distribution of patient and provider baseline characteristics based on screening status. Multivariate logistic regression was used to investigate the likelihood of being screened while adjusting for baseline characteristics. Time to screening from first visit was measured using a Kaplan-Meier survival analysis. In rheumatology, 87.8% of patients were screened for GI symptoms. Age, type of arthritis, and medications did not affect screening rates. Providers who were in practice longer tended to screen less frequently (16.4 vs 13.5 years p value = 0.0003). In GI, only 16.3% of patients were screened for joint symptoms. Age and medications did not affect screening rates, however patients with a history of ulcerative colitis tended to be screened less frequently (77.8% not screened, p value = 0.0059). A history of any extra- intestinal manifestation of IBD increased screening rates (77.8% screened p value < 0.0001) and providers who were in practice longer tended to screen less frequently (9.5 vs 5.1 years, p value < 0.0001). There exist patient and provider characteristics that predict screening rates for comorbid conditions in GI and rheumatology. This baseline data will be used to develop a quality improvement intervention to improve screening rates in both populations. Department of Medicine, Women’s College Hospital

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)0.001
metaresearch head score (Gemma)0.004
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 score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.006
GPT teacher head0.225
Teacher spread0.219 · 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
Published2019
Admission routes1
Has abstractyes

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