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Record W4381125429 · doi:10.1136/gutjnl-2023-bsg.136

P64 The impact of anti-TNF and thiopurine therapy on the natural history of Crohn’s disease: a population-based study

2023· article· en· W4381125429 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePoster presentations · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsThiopurine methyltransferaseMedicineCrohn's diseaseNatural historyInternal medicineRetrospective cohort studyPopulationHazard ratioCohortConfoundingPropensity score matchingConfidence intervalSurgeryInflammatory bowel diseaseDisease

Abstract

fetched live from OpenAlex

<h3>Introduction</h3> It has been hard to demonstrate if early immunosuppression alters resection rates for Crohn’s disease (CD). We studied a population-based cohort from Cardiff to evaluate the impact of both anti-TNF therapy and thiopurines on the natural history of CD, including surgical resection rates. <h3>Methods</h3> This was a retrospective population-based cohort study of all patients diagnosed with CD whilst resident in Cardiff and nearby towns over 12 years 2005–2016. The primary outcome was the impact of therapy on the time to first resection surgery up to 5 years for patients receiving early sustained use (ESU): drug started within one year of diagnosis and continued at least 3 months, versus never use (NU). A propensity score (PS) was calculated. Inverse probability of treatment weighting (IPTW) based on the PS was used so that confounders (baseline Montreal classification, smoking, steroid use, serum albumin) was similar in both the treated and untreated groups. To address immortal time bias (ITB) if an outcome occurs after diagnosis but before the start of therapy, then this time segment is attributed to the untreated group. Therefore, <i>n</i> represents time segments, not individual patients, in statistical analyses. <h3>Results</h3> 419 CD cases were studied. With IPTW there was a significant reduction in risk of surgical resection with ESU anti-TNF vs NU (p=0.0026,<i> n</i>=460 (57 ESU vs 403 NU segments), hazard ratio (HR) 0.28, 95% confidence interval (CI) 0.12 to 0.62) but not with ESU thiopurine vs NU (p=0.39, <i>n</i>=545, HR 0.82, 95% CI 0.52 to 1.29). 138/419 patients received any anti-TNF therapy prior to resection, while 57 had ESU. Probability of avoiding surgery in ESU vs NU at 1 year (98% v 83%), 2 years (95% vs 80%), and 5 years (91% vs 75%). See figure 1. After 5 years the resection rates converged with wider CIs. <h3>Conclusions</h3> Strengths of our study include the individual patient detail conferred from hospital record data collection, contributing to a PS and IPTW to account for confounders, and removal of ITB. ITB artificially protracts treatment arm survival, therefore its removal portrays a more accurate comparison. With this, we demonstrate a significant reduction in surgical resection rates at 5 years in ESU anti-TNF therapy vs NU. Larger numbers are needed to analyse benefits beyond 5 years.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.017
Threshold uncertainty score0.210

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
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 head0.020
GPT teacher head0.304
Teacher spread0.284 · 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