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Record W6927326088 · doi:10.25934/00006041

Histologic Predictors of Endoscopic Healing in Crohn's Disease

2023· dataset· en· W6927326088 on OpenAlexaff

Bibliographic record

VenueVivli · 2023
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacillus and Francisella bacterial research
Canadian institutionsHamilton Health Sciences
Fundersnot available
KeywordsDiseaseEndoscopyAbdominal painClinical trialInflammatory bowel diseaseUstekinumabCrohn's diseaseGastrointestinal tract

Abstract

fetched live from OpenAlex

Crohn's disease (CD) is an inflammatory bowel disease that can affect any part of the gastrointestinal tract and is characterized by periods of relapse and remission. Unfortunately, patients with CD often experience disease progression, including fistulas, strictures, and symptoms including worsening abdominal pain and/or diarrhea.(1) The Crohn’s Disease Activity Index (CDAI) is a widely used tool in clinical trials for CD as primary endpoints, namely clinical remission (CR) and response.(2,3) While the CDAI has demonstrated drug efficacy through these endpoints, histologic endpoints are lacking. Several studies have identified a disconnect between patient reported symptoms and endoscopic evidence of disease, which may be attributed to the presence of comorbid gastrointestinal disorders. Treatment goals have evolved to include endoscopic-based endpoints, using tools such as the Crohn’s Disease Endoscopic Index of Severity (CDEIS) and Simple Endoscopic Score for CD (SES-CD).(4,5) However, evidence of histologic inflammation is present in approximately one third of patients achieving endoscopic healing.(6,7) Therefore, the relationship between clinical, histologic and endoscopic measures of CD activity require further investigation. The Global Histology Activity Score (GHAS) is a widely used tool that grades biopsies of the ileum and colonic segments (collected at baseline, week 12 and 54 in EXTEND).(8) Therefore, regional and global GHAS can be separated and compared. Recently, the efficacy of ustekinumab on histologic improvement in CD patients have been explored, using data from the phase 3 induction and maintenance UNITI trials (ClinicalTrials.gov NCT01369329, NCT01369342, and NCT01369355) (9). However, to date, no study has investigated the relationship between baseline histologic disease activity and ability to attain endoscopic healing in CD. The primary objective of this study is to evaluate the association between baseline histologic characteristics and endoscopic measures of disease activity at week 54 using data from the EXTEND trial. The secondary objectives of this study include assessing alternative definitions of mucosal healing (SES-CD of 0 and/or absence of mucosal ulcerations) and endoscopic response (SES-CD reduction at least 50% from baseline) at week 12 and 54. Planned exploratory analyses with immunohistochemistry may be done. Logistic regression will be used and models will be adjusted for confounders, such as disease duration, treatment allocation, concomitant corticosteroid use and concomitant immunomodulator use.

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)0.002
metaresearch head score (Gemma)0.005
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: Dataset · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.286
Teacher spread0.267 · 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
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

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