Evidence map›Paper›PMID 40406409›Full record

ArticleFrontiers in medicine2025

Novel non-curable resection prediction model for early colorectal cancer following endoscopic submucosal dissection based on inflammatory immune index.

Xiunan Li, Lei Zhang, Biao Xu, Shu Ding, Jing Wang, Yu Jia

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiunan LiDigestive Endoscopy Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Lei ZhangDigestive Endoscopy Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Biao XuDigestive Endoscopy Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Shu DingDepartment of Nursing, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Jing WangMass General Cancer Center, Mass General Brigham, Harvard Medical School, Somerville, MA, United States.
Yu JiaDepartment of Nursing, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Backgrounds: Colorectal carcinoma represents one of the common malignant tumors of digestive tract in clinic. Systemic immune inflammation index (SII) has great potential in predicting prognosis of digestive tract tumors. We sought to explore the predictive ability of SII for non-curative resection of early colorectal cancer treated with ESD, and to establish a related predictive model. Methods: A retrospective analysis was performed on data from patients with early-stage colorectal cancer who underwent ESD in our hospital between January 2019 and December 2022. To establish the optimal cut-off value for the SII, Receiver Operating Characteristic (ROC) curves were generated, correlating preoperative SII levels with postoperative resection outcomes. Patients were categorized into high SII and low SII groups, and their clinical characteristics were comparatively analyzed. Furthermore, patients were stratified according to the presence or absence of non-curative resection outcomes post-ESD, to identify independent risk factors associated with non-curative resection. A prognostic nomogram was subsequently developed to enhance predictive accuracy for non-curative resection, integrating identified risk variables. Results: A total of 215 patients were enrolled in this study, all of whom successfully underwent ESD, achieving an en bloc resection rate of 96.7%. Based on surgical procedures and pathological resection characteristics, 181 cases were classified as curative resections, whereas 34 cases of non-curative resections. Postoperative complications occurred in 10 patients, resulting in a complication rate of 4.7%. The optimal cut-off value of SII was 629.2 × 10 Conclusion: SII revealed well correlation in predicting non-curable resection in patients with early colorectal cancer treated by ESD. Meanwhile, the higher the patient's NLR, PLR, tumor diameter and infiltration depth, the more likely to occur postoperative non-curative resection.

Indexed as

colorectal carcinomaESD-related immune inflammation prediction model ESDnomogramnon-curative resectionSII

Identifiers

PMID40406409
PMCPMC12095304

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