Evidence map›Paper›PMID 34187416›Full record

ArticleBMC cancer2021

A nomogram prediction model for lymph node metastasis in endometrial cancer patients.

Zhiling Wang, Shuo Zhang, Yifei Ma, Wenhui Li, Jiguang Tian, Ting Liu

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% of its field
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Zhiling WangDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong Province, 250012, P. R. China.
Shuo ZhangDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong Province, 250012, P. R. China.
Yifei MaDepartment of Obstetrics and Gynecology, Jinan Central Hospital Affiliated to Shandong University, Jinan, 250013, Shandong Province, China.
Wenhui LiDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong Province, 250012, P. R. China.
Jiguang TianDepartment of Emergency, Qilu Hospital of Shandong University, Jinan, Shandong Province, China.
Ting LiuDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, Shandong Province, 250012, P. R. China. sdwfqzlt@163.com.ORCID http://orcid.org/0000-0001-8809-4707
Qilu Hospital of Shandong University · CNShandong University · CN

Funding

Science Foundation of Shandong Provence ZR2019PH064
6 · The paper itself

Abstract

backgroundThis study aimed to explore the risk factors for lymph node metastasis (LNM) in patients with endometrial cancer (EC) and develop a clinically useful nomogram based on clinicopathological parameters to predict it.

methodsClinical information of patients who underwent staging surgery for EC was abstracted from Qilu Hospital of Shandong University from January 1st, 2005 to June 31st, 2019. Parameters including patient-related, tumor-related, and preoperative hematologic examination-related were analyzed by univariate and multivariate logistic regression to determine the correlation with LNM. A nomogram based on the multivariate results was constructed and underwent internal and external validation to predict the probability of LNM.

resultsThe overall data from the 1517 patients who met the inclusion criteria were analyzed. 105(6.29%) patients had LNM. According the univariate analysis and multivariate logistic regression analysis, LVSI is the most predictive factor for LNM, patients with positive LVSI had 13.156-fold increased risk for LNM (95%CI:6.834-25.324; P < 0.001). The nomogram was constructed and incorporated valuable parameters including histological type, histological grade, depth of myometrial invasion, LVSI, cervical involvement, parametrial involvement, and HGB levels from training set. The nomogram was cross-validated internally by the 1000 bootstrap sample and showed good discrimination accuracy. The c-index for internal and external validation of the nomogram are 0.916(95%CI:0.849-0.982) and 0.873(95%CI:0.776-0.970), respectively.

conclusionsWe developed and validated a 7-variable nomogram with a high concordance probability to predict the risk of LNM in patients with EC.

Indexed as

Endometrial NeoplasmsFemaleHumansLymphatic MetastasisLymph NodesNeoplasm MetastasisNomogramsRisk FactorsEndometrial cancerLymphadenectomyLymph node metastasisNomogram

Identifiers

PMID34187416
PMCPMC8243766
OpenAlexW3025050012

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LicenceCC BY
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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.