Evidence map›Paper›PMID 29845571›Full record

ArticleJournal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract2018

A Risk-Scoring Model for Predicting Lymph Node Metastasis in Early Gastric Cancer Patients: a Retrospective Study and External Validation.

Lihu Gu, Manman Chen, Parikshit Asutosh Khadaroo, Xueqiang Ma, Liya Kong, Xinlong Li, Hepan Zhu, Xin Zhong, Junhai Pan, XianFa Wang

Abstract readValidation Study
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In one paragraph

Article in Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
–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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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.

Lihu GuDepartment of General Surgery, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, No.3, East Qingchun Road, Hangzhou, 310016, Zhejiang, China.
Manman ChenZhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Parikshit Asutosh KhadarooZhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Xueqiang MaZhuji People's Hospital, Shaoxing, Zhejiang, China.
Liya KongZhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xinlong LiDepartment of General Surgery, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, No.3, East Qingchun Road, Hangzhou, 310016, Zhejiang, China.
Hepan ZhuDepartment of General Surgery, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, No.3, East Qingchun Road, Hangzhou, 310016, Zhejiang, China.
Xin ZhongDepartment of General Surgery, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, No.3, East Qingchun Road, Hangzhou, 310016, Zhejiang, China.
Junhai PanDepartment of General Surgery, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, No.3, East Qingchun Road, Hangzhou, 310016, Zhejiang, China.
XianFa WangDepartment of General Surgery, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, No.3, East Qingchun Road, Hangzhou, 310016, Zhejiang, China. 3195011@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe possibility of lymph node metastasis (LNM) is critical to the assessment of the indication for endoscopic submucosal dissection. Thus, the aim of this study is to identify the risk factors for LNM and construct a risk-scoring model for patients with early gastric cancer to guide treatment.

methodsA retrospective examination of reports and studies carried out January 2000 and December 2014 was conducted. A risk-scoring model for predicting LNM was developed based on the data thus collected. In addition, the model is subject to verification and validation by three institutions.

resultsOf the 1029 patients, 228 patients (22%) had LNM. Multivariate analysis showed that female, depressed type, undifferentiated type, submucosa, tumor size, and lymphovascular invasion were significantly associated with LNM. An 11-point risk-scoring model was used to predict LNM risk. An area under the receiver operating characteristic (AUROC) of the risk-scoring model was plotted using the development set and the AUROC of the model [0.76 (95% CI 0.73-0.80)] to predict LNM risk. After internal and external validation, the AUROC curve for predicting LNM was 0.77 (95% CI 0.68-0.86), 0.82 (95% CI 0.72-0.91), and 0.82 (95% CI 0.70-0.94), respectively.

conclusionsA risk-scoring model for predicting LNM was developed and validated. It could help with personalized care for patients with EGC.

Indexed as

Lymphatic MetastasisArea Under CurveBlood VesselsFemaleGastrectomyHumansLymphatic VesselsLymph Node ExcisionLymph NodesMaleMiddle AgedNeoplasm GradingNeoplasm InvasivenessRetrospective StudiesRisk AssessmentRisk FactorsEarly gastric cancerEndoscopic submucosal dissectionLymph node metastasisRisk-scoring model

Identifiers

PMID29845571

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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.