Evidence map›Paper›PMID 42533323›Full record

ArticleBMC gastroenterology2026

Characteristics of small early colorectal cancer in the non-pedunculated lesions and its relationship with the depth of invasion.

Yu-Bei Li, Wen Song, Wen-Jun Zhao, Hua Liu, Xiao-Yu Li, Xiao-Yan Yin

Abstract read
In one paragraph

Article in BMC gastroenterology, 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

6 authors.

Yu-Bei LiDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong Province, China.
Wen SongDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong Province, China.
Wen-Jun ZhaoDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong Province, China.
Hua LiuDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong Province, China.
Xiao-Yu LiDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong Province, China.
Xiao-Yan YinDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong Province, China. yxy4503@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) exhibits high morbidity and mortality globally among malignant tumors. Early diagnosis and treatment can improve prognosis. Previously, tumor size was considered correlated with colorectal cancer invasion. However, whether small CRCs exhibit lower aggressiveness remains uncertain. To investigate the endoscopic features and risk factors for deep submucosal invasion in early, non-pedunculated CRCs with a diameter < 2 cm, and to establish a preliminary nomogram to inform clinical diagnosis and treatment.

methodsWe retrospectively analyzed clinical, endoscopic, and pathological data from 289 patients who underwent endoscopic submucosal dissection (ESD) or surgical resection for non-pedunculated polyps or early-stage colorectal cancer with a diameter < 2 cm at the Affiliated Hospital of Qingdao University between January 2015 and November 2024. Patients were grouped based on the nature and invasion depth of the lesion. Statistical descriptions were performed for each group, and a preliminary nomogram was constructed to evaluate its predictive value for deep submucosal invasion in colorectal lesions.

resultsThe mean age of patients was 63 years, with a higher proportion of males (60.9%). Lesions measuring 10-20 mm were predominant (83.7%). The majority were located in the left colon. Flat lesions were the most common endoscopic appearance (57.8%). The final pathology results showed precancerous lesions, intramucosal cancers, superficial submucosal invasion carcinoma and deep submucosal invasion carcinoma were 40.1%, 38.4%, 8.3% and 13.2% respectively. ESD was directly performed in 95.2% of cases (275 lesions). Surface fullness (OR = 13.81), dilated blood vessels in tumor periphery (OR = 6.44), JNET2B (OR = 6.43), JNET3 (OR = 22.94), and de novo carcinoma pathway (OR = 21.61) were independent risk factors for deep submucosal invasion in early colorectal cancer. Chicken skin mucosa (CSM) (OR = 5.71), surface depression (OR = 12.38), and invasive pit pattern (OR = 161.18) were independent risk factors for malignancy in non-pedunculated colorectal polyps less than 2 cm. The preliminary nomogram constructed based on these independent risk factors demonstrated predictive value for deep submucosal invasion in early-stage colorectal cancer.

conclusionsNon-pedunculated colorectal lesions smaller than 2 cm carry risks of malignancy and deep submucosal invasion. Surface fullness, dilated blood vessels in tumor periphery, type JNET2B/3, and de novo carcinoma pathway are independent risk factors for deep submucosal invasion. CSM, surface depression, and invasive pit pattern are independent risk factors for malignancy. The nomogram prediction model constructed based on these findings provides a basis for clinical decision-making. The preliminary nomogram developed from these findings could offer some guidance for clinical decision-making.

Indexed as

Colorectal NeoplasmsAdultAgedAged, 80 and overEndoscopic Mucosal ResectionFemaleHumansMaleMiddle AgedNeoplasm InvasivenessNeoplasm StagingNomogramsRetrospective StudiesRisk FactorsDepth of invasionEarly colorectal cancerPrediction modelRisk factorsSize

Identifiers

PMID42533323
PMCPMC13422327

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.