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Record W3000160977 · doi:10.1093/ecco-jcc/jjz203.271

P142 Systematic review: patient perceptions of monitoring tools in inflammatory bowel disease

2020· article· en· W3000160977 on OpenAlexaff
Thomas M Goodsall, Richard Noy, Tran M Nguyen, Samuel P. Costello, Vipul Jairath, Robert V. Bryant

Bibliographic record

VenueJournal of Crohn s and Colitis · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsWestern UniversityRobarts Clinical Trials
Fundersnot available
KeywordsMedicineMEDLINESystematic reviewPatient satisfactionCapsule endoscopyInflammatory bowel diseaseCalprotectinDiseasePhysical therapyMedical physicsInternal medicineSurgery

Abstract

fetched live from OpenAlex

Abstract Background Management of inflammatory bowel disease (IBD) is directed toward both clinical symptoms as well as objective disease activity as a part of a ‘treat to target’ strategy. Despite the increasing burden of disease activity assessment in IBD, patient preferences for monitoring tools have scarcely been considered. This study aimed to describe the available evidence for patient preference, satisfaction, tolerance and/or acceptability of the available monitoring tools in adults with IBD. Methods A systematic search of Embase, Medline, Pubmed, Cochrane Central and Clinical Trials.gov from January 1980 to April 2019 was conducted using PRISMA best practice guidelines. Included were all study types reporting on the perspectives of adults with confirmed IBD on monitoring tools, where two or more such tools were compared. Outcome measures with summary and descriptive data were presented. Results 10 studies evaluating 1846 participants were included. Study size ranged from 18 to 916 participants. Monitoring tools included venepuncture, stool collection and faecal calprotectin (FC), gastrointestinal ultrasound (GIUS), computed tomography (CT), magnetic resonance imaging (MRI), wireless capsule endoscopy (WCE), barium follow-through, and endoscopy. The measurement tools used were visual analogue scales (VAS), Likert scales or binary preference questions. Outcome domains were patient satisfaction, acceptability of monitoring tool, and patient preference. Meta-analysis was not possible due to heterogeneity of data. Overall, patient preference was for non-invasive tools of disease monitoring and these were associated with a higher level of acceptability. Across all included studies, GIUS was identified by patients as the preferred tool for disease activity assessment. Both FC and other forms of imaging (MRE and CTE) were generally considered preferable to endoscopy, however less so than GIUS. Patient preference for blood testing varied, but in one study was lower than endoscopy. Two studies compared VAS acceptability of multiple IBD monitoring tools. Among 1037 patients, GIUS was considered the most acceptable IBD monitoring tool (mean VAS 9.29), as compared with venepuncture (9.28), WCE (8.5), MRE (8.08), stool collection (7.87), colonoscopy (7.07) and sigmoidoscopy (5.27). Conclusion This is the first systematic review to evaluate patient perceptions of monitoring tools used in IBD. Patients showed a preference for GIUS and more generally for faecal sampling and non-invasive imaging over endoscopy. Further research should address whether clinician selection of more acceptable monitoring tools in IBD engenders greater patient satisfaction, adherence, and a consequent improvement in disease-related outcomes.

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)0.010
metaresearch head score (Gemma)0.054
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.054
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.008
Bibliometrics0.0070.009
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.010
GPT teacher head0.245
Teacher spread0.235 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2020
Admission routes1
Has abstractyes

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