Evidence map›Paper›PMID 37182137›Full record

ArticleFrontiers in oncology2023

Preoperative low muscle mass and malnutrition affect the clinical prognosis of locally advanced gastric cancer patients undergoing radical surgery.

Ailing Zhao, Chong Hou, Yingzi Li, Yipin Liu

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Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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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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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. A nomogram for predicting nutritional risk before gastric cancer surgery.Asia Pacific journal of clinical nutrition · 2024
    Article
  7. Article
  8. Article
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

4 authors.

Ailing ZhaoDepartment of Gastroenterology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong, China.
Chong HouDepartment of Gastroenterology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong, China.
Yingzi LiDepartment of Gastroenterology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong, China.
Yipin LiuDepartment of Gastroenterology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gastric cancer is a common and highly aggressive malignant tumor of the gastrointestinal tract that poses a serious threat to human life and health. As the clinical symptoms of early gastric carcinoma are not obvious, many patients are diagnosed in the middle or late stages. With the advancement of medical technology, gastrectomy has become a safer surgical procedure, but it still has a high recurrence and mortality rate after surgery. The prognosis of gastric cancer patients after surgery is not only related to tumor-related factors (i.e., tumor stage) but the patient's nutritional status. This study aimed to investigate the effect of preoperative muscle mass combined with the prognostic nutritional index (PNI) on clinical prognosis in locally advanced gastric carcinoma. Methods: The clinical data of 136 patients with locally advanced gastric carcinoma diagnosed by pathology and undergoing radical gastrectomy were retrospectively reviewed. To analyze the influencing factors of preoperative low muscle mass and its correlation with the prognostic nutritional index. Patients with both low muscle mass and low PNI (≤46.55) were assigned a score of 2, and those with only one or neither of these abnormalities were assigned a score of 1 or 0, respectively, according to the new prognostic score (PNIS). The relationship between PNIS and clinicopathological characteristics was analyzed. Univariate and multivariate analyses were performed to identify risk factors for overall survival (OS). Results: Low muscle mass was associated with a lower PNI ( Conclusions: The combination of muscle mass and the PNI score system can be used to predict the survival outcome of patients with locally advanced gastric cancer.

Indexed as

clinical prognosislocally advanced gastric cancerlow muscle massmalnutritionPNIS scoreprognostic nutritional indexsarcopenia

Identifiers

PMID37182137
PMCPMC10171366

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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.