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Record W2942891315 · doi:10.1093/ibd/izz081

US Practice Patterns and Impact of Monitoring for Mucosal Inflammation After Biologic Initiation in Inflammatory Bowel Disease

2019· article· en· W2942891315 on OpenAlexaff
Berkeley N. Limketkai, Siddharth Singh, Vipul Jairath, William J. Sandborn, Parambir S. Dulai

Bibliographic record

VenueInflammatory Bowel Diseases · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsWestern University
FundersNational Center for Advancing Translational SciencesNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institutes of Health
KeywordsMedicineUlcerative colitisCalprotectinInternal medicineInflammatory bowel diseaseHazard ratioFaecal calprotectinGastroenterologyDiseaseCrohn's diseaseBiomarkerConfidence interval

Abstract

fetched live from OpenAlex

BACKGROUND: We assessed practice patterns for monitoring mucosal inflammation after biologic initiation and the association between monitoring approaches and development of disease-related complications for Crohn's disease (CD) and ulcerative colitis (UC). METHODS: This study used a Truven Health MarketScan (2007-2016) query for CD and UC patients initiating biologic therapy. Cumulative 24-month disease-related complications (corticosteroids, change of biologic, hospitalization, surgery) in patients undergoing proactive disease monitoring with lower endoscopy, fecal calprotectin, or cross-sectional radiographic enterography (computed tomography enterography or magnetic resonance enterography) within 6 months of biologic initiation vs no early monitoring after biologic initiation were compared. Cox proportional hazard ratios (HRs with 95% confidence intervals [CIs]) adjusted for propensity score were used. RESULTS: Within the first 24 months after biologic initiation, monitoring (proactive or reactive) was performed in 56.4% of CD patients and 67.8% of UC patients, with considerable geographic variability. Early (within 6 months) proactive monitoring was endoscopy-based (87.9%), performed in 11% of CD (n = 2195/19,899) and 12.8% of UC (n = 925/7247) patients. Compared with no early monitoring, early proactive monitoring was associated with a reduction in disease-related complications for CD (adjusted HR [aHR], 0.90; 95% CI, 0.84-0.96) and UC (aHR, 0.87; 95% CI, 0.78-0.97) and predominately driven by a reduction in corticosteroid use (CD: aHR, 0.83; 95% CI, 0.77-0.90; UC: aHR, 0.77; 95% CI, 0.69-0.87). Results were consistent across multiple sensitivity analyses. CONCLUSIONS: Early proactive monitoring of mucosal inflammation in CD and UC within 6 months of biologic initiation was associated with reduction in disease-related complications over 24 months, primarily related to reduced steroid utilization. Wide variation exists in practice patterns for monitoring of mucosal inflammation after biologic initiation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.267
Teacher spread0.259 · 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 teacher head, not a consensus.

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

Citations49
Published2019
Admission routes1
Has abstractyes

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