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Record W4318184917 · doi:10.1093/ibd/izac247.114

THE PRECIOUS STUDY: A PROSPECTIVE, OBSERVATIONAL STUDY OF CD8+ BIOMARKER BASED PROGNOSTIC TEST IN NORTH AMERICAN IBD PATIENTS

2023· article· en· W4318184917 on OpenAlexaboutno aff
Lea Ann Chen, Keith Sultan, Melissa Weidner, Dana J. Lukin, Jordan E. Axelrad, Lawrence J. Saubermann, Parakkal Deepak, Caterina Oneto, Huimin Yu, Oriana M. Damas, Jenny Sauk, Maria Oliva‐Hemker, Sarah Sheibani, K. Hills, Lediona Ardolli, James Lee

Bibliographic record

VenueInflammatory Bowel Diseases · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineObservational studyInternal medicineBiomarkerCohortProspective cohort studyCrohn's diseaseDiseaseCohort study

Abstract

fetched live from OpenAlex

Abstract BACKGROUND The clinical course of IBD varies considerably among patients1. One barrier to personalized medicine in IBD is the lack of a reliable prognostic assay that can be used at diagnosis to guide effective therapy for each patient, to optimize clinical outcomes and minimize complications. To address this need, a whole-blood qPCR-based prognostic assay was developed to divide IBD patients into two subgroups2. This transcriptional signature yields CD8 T-cell exhaustion level data that correlated with disease outcomes among IBD patients in UK2. Here, we aimed to determine if this prognostic assay could stratify an ethnically diverse North American cohort of IBD patients at diagnosis into low and high-risk subgroups. METHODS PRECIOUS (Predicting Crohn’s & Colitis Outcomes in the United States) is a multi-centre, observational, double-blinded study of patients with active IBD, who are not receiving systemic steroids, immunomodulator, advanced small molecules or biologics. The study is recruiting up to 200 patients between 16-80 years of age, from 14 centres across the US and Canada. Patients are prospectively followed for >12 months after enrolment to monitor disease course, including the requirement for IBD-related surgery or treatment escalations. Patients and clinicians are blinded to the biomarker results and patients are treated according to local practice. RESULTS Of 120 patients recruited to date, 86 have reached the 12-month follow-up timepoint (Table 1). Of the 102 patients with complete race and ethnicity data (Table 1), 63.5% are non-Hispanic Whites, 13.7% identified as Hispanic/Latino, 11.8% Asian and 9.8% Black/African American. Biomarker results were obtained for 80 (88.8%) of the 90 samples tested to date – 10 (11.1%) of samples failed quality control. Of these 80 results, 38 patients (47.5%) were identified as high risk for disease progression and 42 (52.5%) as low risk – a similar breakdown to that seen in the UK cohort2. DISCUSSION This is the first trial of a prognostic biomarker for patients with CD and UC in North America. This patient population was significantly more diverse than the UK cohort which had ~98% White. This diversity is not generally reflected in clinical trials performed in the United States in which approximately 90% of participants for all conditions are White whereas non-Hispanic Whites represent approximately 60% of the U.S. population. 4,5. Our enrolment of only 63.5% non-Hispanic White subjects speaks to our targeted efforts to recruit a representative level of diversity into our study population to that represents the diversity of patients with IBD that are being diagnosed globally6.

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)0.001
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.996
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.261
Teacher spread0.244 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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