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Record W2922136811 · doi:10.1093/jcag/gwz006.115

A116 EFFECTIVENESS OF A REMOTE PATIENT MONITORING PROTOCOL AIMING TO IMPROVE CARE FOR ULCERATIVE COLITIS PATIENTS

2019· article· en· W2922136811 on OpenAlexaffabout
Candace L. Beilman, Ellina Lytvyak, M Garolera Molas, Farhad Peerani, Levinus A. Dieleman, Karen I. Kroeker, Karen Wong, Richard N. Fedorak, Brendan P. Halloran

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldMedicine
TopicMicroscopic Colitis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineUlcerative colitisCalprotectinProtocol (science)DiseaseInternal medicineFaecal calprotectinPhysical therapyColectomyInflammatory bowel diseaseAlternative medicinePathology

Abstract

fetched live from OpenAlex

Ulcerative colitis (UC) is a chronic, relapsing and remitting condition, characterized by inflammation and ulceration limited to the colon. Treatment of UC involves long-term maintenance therapy in an attempt to maintain remission and prevent disease flares. However, when patients are not experiencing symptoms, they can be lost to follow-up, decrease medication compliance, and delay or avoid regular visits with their gastroenterologist. This can be problematic because symptoms can have a poor correlation with disease activity. To ensure regular follow-up, our center has initiated a clinical outreach protocol in order to remotely monitor the disease activity of UC patients to potentially improve long-term patient care. The aim of our study is to assess the effectiveness of this protocol aiming to improve care for UC patients not on biologic therapy. UC outpatients at the University of Alberta IBD Clinic who had not been seen by their gastroenterologist in over six months were asked to participate in the protocol. Patients were excluded if they were taking biologic therapies or had a previous colectomy. As part of the protocol, patients completed a fecal calprotectin (FCP) stool test and routine blood work. Patients also completed a partial Mayo and a MARS-5 questionnaire to assess disease activity and medication adherence, respectively. Upon protocol completion, a summary of results was reviewed by their gastroenterologist, who was then asked to complete a survey regarding the utility of the protocol, as well as if the protocol led to a change in disease management. Eighty-two patients (60% female) completed the protocol, with an average age of 52 years. Partial Mayo scores indicated clinical remission in 82% of patients. Decreased age was correlated with poor medication adherence (p=0.003), however FCP was not correlated with age (p=0.48). Sixteen (20%) patients in clinical remission according to Partial Mayo score had a FCL greater than 250 µg/g. Mean FCP of these patients was 798 µg/g. Based on results from the protocol, disease management was altered in 56% of patients. Of these patients, 25% had a clinic appointment booked, 31% had an endoscopy appointment booked, 9% had further investigative tests completed, and 9% had a delayed follow-up requested by their gastroenterologist due to quiescent disease activity. The remote patient monitoring protocol resulted in a change in disease management for the majority of UC patients. Furthermore, approximately 20% of patients who completed the protocol had elevated inflammatory markers despite none or few symptoms. Abbvie

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)0.031
metaresearch head score (Gemma)0.076
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.076
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.005
GPT teacher head0.261
Teacher spread0.256 · 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".

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Citations0
Published2019
Admission routes2
Has abstractyes

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