Evidence map›Paper›PMID 39607559›Full record

ArticleInternational journal of colorectal disease2024

The risk factors of lymph node metastasis in early colorectal cancer: a predictive nomogram and risk assessment.

Jiahui Xu, Fan Yin, Linlin Ren, Yushuang Xu, Congcong Min, Peng Zhang, Mengyu Cao, Xiaoyu Li, Zibin Tian, Tao Mao

Abstract read
In one paragraph

Article in International journal of colorectal disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

10 authors.

Jiahui XuDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, 266000, Shandong Province, China.
Fan YinTeaching and Research Department, Qingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong Province, China.
Linlin RenDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, 266000, Shandong Province, China.
Yushuang XuDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, 266000, Shandong Province, China.
Congcong MinDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, 266000, Shandong Province, China.
Peng ZhangDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, 266000, Shandong Province, China.
Mengyu CaoDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, 266000, Shandong Province, China.
Xiaoyu LiDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, 266000, Shandong Province, China.
Zibin TianDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, 266000, Shandong Province, China.
Tao MaoDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Qingdao, 266000, Shandong Province, China. maotao@qdu.edu.cn.

Funding

the National Natural Science Foundation of China No. 82273393
6 · The paper itself

Abstract

purposeEndoscopic procedures and surgery are common treatments for early colorectal cancer (CRC). However, only approximately 10% of patients who undergo surgery have lymph node metastases (LNM) detected on postoperative pathology, which often leads to overtreatment. This study aims to comprehensively analyze the risk factors for LNM in early CRC patients, establishing a predictive model to aid in treatment decisions.

methodsThis study reviewed the clinicopathologic data of patients with early CRC who underwent surgery from January 2015 to June 2023. Univariate and multivariate logistic regression analyses were employed to identify LNM risk factors. The receiver operating characteristic (ROC) analysis and calibration curves were also constructed to verify the model's discrimination and calibration. A simplified scale was calculated to promote the risk stratification for LNM.

resultsThe study analyzed medical records of 375 patients. Of these, 37 (9.9%) cases had LNM. Univariate analysis identified age, nerve invasion, depth of submucosal invasion, histologic grade, LVI, and tumor budding as risk factors. The multivariate analysis confirmed histologic grade (OR, 13.403; 95% CI, 1.415-126.979; P = 0.024), LVI (OR, 6.703; 95% CI, 2.600-17.284; P < 0.001), and tumor budding (OR, 3.090; 95% CI, 1.082-8.820; P = 0.035) as independent predictors. The optimal nomogram, incorporating six risk factors, demonstrated strong predictability with an area under the ROC curve (AUC) of 0.837 (95% CI, 0.762-0.912). A simplified risk assessment scale with a total score of 19 points was developed.

conclusionThe study developed a nomogram and a simplified risk assessment scale to predict LNM risk, potentially optimizing the management of early CRC patients.

Indexed as

Colorectal NeoplasmsLymphatic MetastasisNomogramsROC CurveAdultAgedFemaleHumansMaleMiddle AgedMultivariate AnalysisRisk AssessmentRisk FactorsBackgroundEarly colorectal cancerLymph node metastasisPredictive modelRisk stratification

Identifiers

PMID39607559
PMCPMC11604734

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LicenceCC BY-NC-ND
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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.