Evidence map›Paper›PMID 41713829›Full record

ArticleClinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association2026

Automated Phenotyping With Artificial Intelligence Predicts Future Advanced Neoplasia Risk in Colitis-associated Low-grade Dysplasia.

Brian Johnson, Hyrum Eddington, Misha Kabir, Samir Gupta, Shailja C Shah, Kit Curtius

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Brian JohnsonDivision of Biomedical Informatics, Department of Medicine, University of California San Diego, La Jolla, California.
Hyrum EddingtonDivision of Biomedical Informatics, Department of Medicine, University of California San Diego, La Jolla, California.
Misha KabirDivision of Gastrointestinal Services, University College London Hospitals NHS Trust, London, United Kingdom.
Samir GuptaVA San Diego Healthcare System, San Diego, California; Division of Gastroenterology, University of California, La Jolla, California; Moores Cancer Center, University of California San Diego, La Jolla, California.
Shailja C ShahVA San Diego Healthcare System, San Diego, California; Division of Gastroenterology, University of California, La Jolla, California; Moores Cancer Center, University of California San Diego, La Jolla, California.
Kit CurtiusDivision of Biomedical Informatics, Department of Medicine, University of California San Diego, La Jolla, California; VA San Diego Healthcare System, San Diego, California; Moores Cancer Center, University of California San Diego, La Jolla, California. Electronic address: kcurtius@health.ucsd.edu.

Funding

San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
Multiscale modeling of spatiotemporal evolution in Barrett's esophagusR01CA270235 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Kathleen M. Curtius · 2023 to 2026
$2.3M
BLRD VA I01 BX005958CSRD VA IK2 CX002027NCI NIH HHS R01 CA270235NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

The ability to precisely determine future risk of advanced neoplasia (AN; high-grade dysplasia and/or colorectal cancer [CRC]) in patients with ulcerative colitis (UC) and low-grade dysplasia (LGD) is a major unmet need. Given the uncertainty in existing prognostic data, current guidelines advise incorporating expert opinion into management decisions, which can be challenging and imprecise.

Identifiers

PMID41713829
PMCPMC13178804

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.