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Record W4391218381 · doi:10.1093/ibd/izae020.048

IDENTIFICATION OF DISEASE SEVERITY DEFINITIONS FOR ULCERATIVE COLITIS AND CROHN’S DISEASE

2024· article· en· W4391218381 on OpenAlexaboutno aff
Chiahung Chou, Richa Mukherjee, Marie Sanchirico, Jeanne Jiang, Parambir S. Dulai

Bibliographic record

VenueInflammatory Bowel Diseases · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsUlcerative colitisDiseaseMedicineCrohn's diseaseIdentification (biology)Crohn diseaseGastroenterologyInternal medicineBiology

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Evidence suggests that, in patients with ulcerative colitis (UC) or Crohn’s disease (CD), those with moderate disease may achieve better outcomes with vedolizumab than those with severe disease. However, no consensus definition of moderate disease exists for UC or CD, as confirmed by a comprehensive literature review published in 2016.1 We aimed to identify definitions of disease severity for UC and CD in studies published since the approval of vedolizumab. METHODS The first stage of the research comprised a systematic literature review (SLR) that complied with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 statement and was registered prospectively with PROSPERO (CRD42023427948). Literature searches were conducted in Embase, MEDLINE, and the Cochrane Library databases on May 16, 2023 to identify publications from 2015 onwards. Title and abstract screening, followed by full-text review was undertaken by two blinded reviewers, with discrepancies resolved by a third reviewer. Data on disease severity indices and thresholds used to define mild, moderate, and/or severe disease were extracted from eligible primary publications. RESULTS Data were extracted from 119 eligible publications (Figure 1), of which 109 related to UC only, 7 to CD only, and 3 to both UC and CD. For UC, the most common disease severity index was Truelove and Witts’ criteria (N = 82), followed by Mayo score or one of its derivatives such as partial Mayo score or Mayo sub-score (N = 29), Lichtiger index (N = 9), Montreal classification (N = 4), Rachmilewitz score (N = 3), and Oxford criteria (N = 3). The definitions identified for mild and moderate disease were similar across studies; however, numerical thresholds used to define moderate and severe disease with Mayo score, partial Mayo score, and Lichtiger index overlapped (Figure 2). For CD, the Crohn’s Disease Activity Index (CDAI) (N = 6) was the most commonly used disease severity index, followed by the Harvey–Bradshaw index (HBI) (N = 2). Moderate disease was defined as a CDAI score of 200–450 or 220–450 or a HBI score of 8–16. CONCLUSION For UC, the thresholds used to define moderate disease were similar across studies but overlapped with those used for severe disease in some cases. Too few CD publications were identified to draw robust conclusions, likely due to the exclusion of those describing patients with mild-to-moderate or moderate-to-severe disease without further stratification in the title or abstract. A targeted literature review of publications reporting phase 3 clinical trials of drugs for UC or CD is ongoing; the thresholds of all measurements used to stratify the patient cohorts in these trials will be extracted to further understand the characteristics of patients with moderate disease. 1. Peyrin-Biroulet L, et al. Clin Gastroenterol Hepatol. 2016;14(3):348-354.e17. Figure 1 PRISMA flow diagram. Figure 2 Numerical ranges used to define mild, moderate, and severe disease for UC.

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)0.027
metaresearch head score (Gemma)0.071
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: none
Teacher disagreement score0.033
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.071
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.010
Bibliometrics0.0330.023
Science and technology studies0.0010.002
Scholarly communication0.0030.004
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.012
GPT teacher head0.254
Teacher spread0.242 · 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
Published2024
Admission routes1
Has abstractyes

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