Evidence map›Paper›PMID 42337066›Full record

ArticleInternational journal of colorectal disease2026

Development and internal validation of a nomogram to predict colorectal cancer risk in patients with diverticulitis.

Muhammad Usman, Elon Correa, Wen Yuan Chung, Sayyada Nuha Farazi, Konstantinos Baronos, Lasitha Samarakoon, Sudarshan Rao Kadri

Abstract readValidation Study
In one paragraph

Article in International journal of colorectal disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Muhammad UsmanDepartment of Gastroenterology, University Hospitals of Leicester, Leicester, UK. Muhammad.usman5@nhs.net.
Elon CorreaLiverpool John Moores University, Liverpool, UK. e.s.correa@ljmu.ac.uk.
Wen Yuan ChungDepartment of Surgery, University Hospitals of Leicester, Leicester, UK.
Sayyada Nuha FaraziDepartment of Gastroenterology, University Hospitals of Leicester, Leicester, UK.
Konstantinos BaronosDepartment of Surgery, University Hospitals of Leicester, Leicester, UK.
Lasitha SamarakoonDepartment of Surgery, University Hospitals of Leicester, Leicester, UK.
Sudarshan Rao KadriDepartment of Gastroenterology, University Hospitals of Leicester, Leicester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimDiverticulitis, considered a benign condition, has emerging evidence linking it to colorectal cancer (CRC). Current guidelines lack standardised risk stratification tools to guide post-diverticulitis surveillance. This study aims to create and validate a nomogram to predict CRC risk in patients with diverticulitis.

methodThis retrospective cohort study included 1546 patients diagnosed with diverticulitis at a UK tertiary hospital between January 2021 and December 2023. Patients aged ≥ 18 years who underwent endoscopic assessment following a diverticulitis episode were included. A logistic regression model with L2 regularisation and balanced class weights (C = 0.1) was developed to predict a binary outcome: high CRC risk (histologically confirmed cancer) versus low/moderate risk (no cancer), designed to guide referral for flexible sigmoidoscopy (FS).

resultsThe mean age of the cohort was 69.2 years, with near-equal sex distribution. CRC was identified in 42 patients (2.7%). Significant predictors of high CRC risk included older age, male sex, and CT-detected colonic wall thickening, whereas abdominal pain, PR bleeding, and diverticulosis were associated with lower risk. The model achieved a cross-validated mean AUC of 0.736 (95% CI 0.661-0.811) and full-sample AUC of 0.784. At the Youden-optimal threshold (0.523), sensitivity was 72.1% and specificity 73.8%.

conclusionWe developed and internally validated a nomogram to predict CRC risk in patients with diverticulitis, using a binary classification to guide FS referral. The tool demonstrated robust discriminative ability and could reduce unnecessary colonoscopies while prioritising high-risk patients for timely evaluation. Unlike existing CRC risk models targeting asymptomatic individuals, our nomogram is tailored to diverticulitis patients. External validation in multi-centre cohorts is required before adoption into routine clinical practice.

Indexed as

Colorectal NeoplasmsDiverticulitisNomogramsAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsColorectal cancerDiverticulitisNomogram

Identifiers

PMID42337066
PMCPMC13547170

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.