Evidence map›Paper›PMID 30214287›Full record

ArticleCancer management and research2018

TNM-PNI: a novel prognostic scoring system for patients with gastric cancer and curative D2 resection.

Zi-Ming Gao, Rui-Ying Wang, Peng Deng, Peng Ding, Chen Zheng, Bin Hou, Kai Li

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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  8. Which Nutritional Scoring System Is More Suitable for Evaluating the Short- or Long-Term Prognosis of Patients with Gastric Cancer Who Underwent Radical Gastrectomy?Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2020
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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

7 authors at 2 institutions in 1 country.

Zi-Ming GaoDepartment of Surgical Oncology and General Surgery, The First Affiliated Hospital of China Medical University, Shenyang 110001, China, cmu_likai@hotmail.com.
Rui-Ying WangDepartment of Ultrasound, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.
Peng DengDepartment of Surgical Oncology and General Surgery, The First Affiliated Hospital of China Medical University, Shenyang 110001, China, cmu_likai@hotmail.com.
Peng DingDepartment of Surgical Oncology and General Surgery, The First Affiliated Hospital of China Medical University, Shenyang 110001, China, cmu_likai@hotmail.com.
Chen ZhengDepartment of Surgical Oncology and General Surgery, The First Affiliated Hospital of China Medical University, Shenyang 110001, China, cmu_likai@hotmail.com.
Bin HouDepartment of Surgical Oncology and General Surgery, The First Affiliated Hospital of China Medical University, Shenyang 110001, China, cmu_likai@hotmail.com.
Kai LiDepartment of Surgical Oncology and General Surgery, The First Affiliated Hospital of China Medical University, Shenyang 110001, China, cmu_likai@hotmail.com.
First Hospital of China Medical University · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGastric cancer (GC) is one of the most common malignancies and has a high mortality rate. In recent years, several nutritional or inflammatory biomarkers have been shown to effectively predict the prognosis of tumors. In this study, we intended to establish a prognostic scoring system for GC patients. PATIENTS AND

methodsOur study included a total of 501 GC patients who were diagnosed with GC stage I-III and received curative gastrectomy with D2 lymphadenectomy between January 2011 and December 2012. Survival analysis was performed using Kaplan-Meier and log-rank tests. Two Cox multivariate models, one for continuous and one for categorical variables, were established to identify independent prognostic factors. All statistical analyses were performed using SPSS 20.0.

resultsUnivariate and multivariate analyses revealed that tumor-node-metastasis (TNM) stage, preoperative prognostic nutritional index (PNI), and adjuvant therapy were independent prognostic factors for GC patients. We established a new composite variable, TNM-PNI, which was confirmed to be a major prognostic factor for curative D2 resection, independent of whether adjuvant therapy was administered. GC patients with higher TNM-PNI scores always had worse cancer outcomes. In addition, we found that adjuvant therapy might be beneficial for the survival of GC patients with TNM-PNI =4 or 5.

conclusionPreoperative PNI plays a distinctly subsidiary role to the TNM stage when predicting patient prognosis. TNM-PNI is a novel and an effective prognostic index for GC patients with curative D2 resection and a good supplement for the National Comprehensive Cancer Network Guidelines.

Indexed as

adjuvant therapycancer outcome prognosisprognostic nutritional indextumor-node-metastasis stage

Identifiers

PMID30214287
PMCPMC6118288
OpenAlexW2889075404

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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.