ArticleFrontiers in oncology2025
Clinical and pathological characteristics of patients with colorectal cancer under age stratification.
Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Oral plant-derived exosome-like nanovesicles: a new therapeutic perspective for intestinal diseases.Frontiers in pharmacology · 2026Review
- Gut microbiota regulation and Traditional Chinese Medicine syndrome differentiation in right- and left-sided colon cancer heterogeneity - A review.Frontiers in pharmacology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The incidence of early-onset colorectal cancer is increasing. The rate of early diagnosis and screening is low, and the prognosis is poor. This study aims to compare the clinical and pathological characteristics of colorectal cancer patients under age stratification, so as to improve the awareness of prevention in different populations and provide the basis for treatment strategies. Methods: This retrospective cross-sectional study included patients who underwent electronic colonoscopy and were diagnosed with colorectal cancer by pathology in Qilu Hospital of Shandong University from July 2017 to June 2020. Their clinical and pathological data were statistically analyzed according to <40 years, 40-50 years and >50 years groups. Results: 850 patients were included (40 <40 years, 108 40-50 years, and 702 >50 years). The proportions of comorbidities (7.5% vs 26.8% vs 55.4%, p=0.006) and medical history were higher (12.5% vs 11.1% vs 17.1%, p=0.163) in the >50 years group; the proportion of family history was higher in the <40 years group (10.0% vs 9.3% vs 3.8%, p=0.015). All patients in the age group under 40 years had symptoms (100% vs 96.3% vs 93.4%, p=0.161), while some patients in the other two groups did not. The incidence of left-sided colon was higher in the <40 years group (37.5% vs 25.0% vs 23.1%, p=0.392); the incidence of right-sided colon was higher in the 40-50 and >50 years group (10.0% vs 25.9% vs 21.9%, p=0.392). Low-grade (7.5% vs 5.6% vs 5.4%, p=0.057), mucinous adenocarcinoma (15.0% vs 9.3% vs 3.6%, p=0.002) and signet ring cell carcinoma (5.0% vs 0.9% vs 0.3%, p=0.002) were more common in the <40 years group. Late-stage tumors were more common in the <50 years group (65.0% vs 51.9% vs 46.6%, p<0.01); early-stage tumors were more common in the >50 years group (35.0% vs 48.2% vs 53.4%, p<0.01). Conclusion: There are more family history in early-onset colorectal cancer patients, with various symptoms, mucinous adenocarcinoma and signet ring cell carcinoma, poor tumor differentiation and late stage. Young adults with symptoms should undergo colonoscopy actively. For patients <40 years, genetic testing should be performed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.