Evidence map›Paper›PMID 41637071›Full record

Observational studyJAMA network open2026

Demographic and Clinicopathologic Factors Associated With Colorectal Adenoma Recurrence.

Usman Ayub Awan, Qingyuan Song, Kristen K Ciombor, Adetunji T Toriola, Jungyoon Choi, Timothy Su, Xiao-Ou Shu, Kamran Idrees, Kay M Washington, Wei Zheng and 3 more

Abstract readObservational Study
In one paragraph

Observational study in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Observational
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. 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

13 authors.

Usman Ayub AwanDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
Qingyuan SongDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.
Kristen K CiomborDivision of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee.
Adetunji T ToriolaDivision of Public Health Sciences, Department of Surgery, and Siteman Cancer Center, Washington University School of Medicine St Louis, St Louis, Missouri.
Jungyoon ChoiDivision of Oncology and Hematology, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea.
Timothy SuDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
Kamran IdreesDivision of Surgical Oncology and Endocrine Surgery, Department of Surgery, Vanderbilt University Medical Center, Vanderbilt-Ingram Cancer Center Nashville, Tennessee.
Kay M WashingtonDepartment of Pathology, Vanderbilt University Medical Center, Nashville, Tennessee.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
Wanqing WenDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
Zhijun YinDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.
Xingyi GuoDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.

Funding

Leveraging Omics and Electronic Health Records Data to study Colorectal Adenoma genetics and Drug RepurposingR01CA297582 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GUO, XINGYI, YIN, ZHIJUN · 2025 to 2025
$4.2M
Uncovering colorectal cancer etiology and biology by integrating proteomics with other omics dataR01CA269589 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Xingyi Guo, Wei Zheng · 2023 to 2026
$2.9M
NCI NIH HHS R01 CA269589NCI NIH HHS R01 CA297582
6 · The paper itself

Abstract

Importance: Current colorectal surveillance guidelines emphasize adenoma characteristics but overlook temporal, racial, and sex-based heterogeneity in recurrence risk, a gap that limits equitable and personalized care. Objective: To evaluate the associations of demographic factors, obesity, and adenoma features with recurrence risk over time in a large longitudinal surveillance cohort. Design, Setting, and Participants: This retrospective cohort study included adults who underwent their first colonoscopic polypectomy between January 1990 and July 2024 at a tertiary medical center. Exposures: Demographic variables included race and ethnicity, sex, obesity (body mass index >30), family history of colorectal cancer (CRC) or polyps, and age at adenoma onset (<50 vs ≥50 years). Adenoma features included histology, size, number, and dysplasia. Main Outcomes and Measures: The primary outcome was recurrence-free survival, defined as time from initial polypectomy to histologically confirmed recurrence. Time-varying coefficient Cox models were fitted to handle the nonconstant associations of exposure over the follow-up time. The follow-up time was categorized into 3 periods (less than 5 years, 5 to 10 years, and 10 or more years). The heterogeneity of exposure associations across the 3 follow-up periods was assessed with likelihood ratio tests. Results: Among 59 667 patients (mean [SD] age, 60 years [11.2]; 29 401 [49.3%] female; 1007 [1.7%] Asian and Pacific Islander, 646 [1.1%] Hispanic, 5972 [10.0%] non-Hispanic Black, and 52 042 [87.2%] non-Hispanic White; median [IQR] follow-up, 4 [1-9] years), 17 596 (29.5%) experienced overall recurrence within 5 years. High-grade dysplasia demonstrated the largest early phase association (adjusted hazard ratio [aHR], 4.00; 95% CI, 3.56-4.50) with complete midterm and late attenuation, while villous histology exhibited biphasic patterns with early elevation (aHR, 2.89; 95% CI, 2.63-3.18) and late-phase (>10 years) reemergence (aHR, 2.71; 95% CI, 2.15-3.41). Obesity conferred persistent risk across all surveillance intervals (early: aHR, 1.16; 95% CI, 1.11-1.21; late: aHR, 1.22; 95% CI, 1.09-1.35). Female patients with high-risk adenomas exhibited marked late-term (>10 years) elevation exceeding male patients (female patients: aHR, 1.73; 95% CI, 1.43-2.08 vs male patients: aHR, 1.29; 95% CI, 1.06-1.58). Conclusions and Relevance: Both histopathologic features and demographic factors demonstrated distinct time-dependent patterns in adenoma recurrence, underscoring the need for surveillance strategies that account for temporal variation and population-specific risk profiles.

Indexed as

AdenomaColorectal NeoplasmsEarly Detection of CancerNeoplasm Recurrence, LocalSentinel SurveillanceAdultAgedDemographyFemaleHumansLongitudinal StudiesMaleMiddle AgedObesityProportional Hazards ModelsRetrospective Studies

Identifiers

PMID41637071
PMCPMC12873766

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.