Evidence map›Paper›PMID 34608415›Full record

ArticleJournal of healthcare engineering2021

Development and External Validation of a Nomogram for Predicting Overall Survival in Stomach Cancer: A Population-Based Study.

Haonan Ji, Huita Wu, Yu Du, Li Xiao, Yiqin Zhang, Qiuhua Zhang, Xin Wang, Wenfeng Wang

Abstract read
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Nomogram model includingWorld journal of gastrointestinal surgery · 2024
    Article
  4. 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

8 authors.

Haonan JiDepartment of Oncology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China.
Huita WuDepartment of Oncology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China.
Yu DuDepartment of Oncology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China.
Li XiaoDepartment of Oncology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China.
Yiqin ZhangDepartment of Oncology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China.
Qiuhua ZhangDepartment of Oncology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China.
Xin WangDepartment of Oncology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China.ORCID 0000-0002-5986-5936
Wenfeng WangSchool of Science, Shanghai Institute of Technology, Shanghai 201418, China.ORCID 0000-0002-0248-5625

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe study was to develop and externally validate a prognostic nomogram to effectively predict the overall survival of patients with stomach cancer.

methodsDemographic and clinical variables of patients with stomach cancer in the Surveillance, Epidemiology, and End Results (SEER) database from 2007-2016 were retrospectively collected. Patients were then divided into the Training Group (

resultsPrognostic factors including age, race, marital status, TNM stage, surgery, chemotherapy, grade, and the number of regional nodes positive were used to construct a nomogram. The C-index was 0.790 and the KS value was 0.45 for the Training Group, and the C-index was 0.789 for the Testing Group, all suggesting the good performance of the nomogram.

conclusionWe have developed an effective nomogram with ten easily acquired prognostic factors. The nomogram could accurately predict the overall survival of patients with stomach cancer and performed well on external validation, which would help improve the individualized survival prediction and decision-making, thereby improving the outcome and survival of stomach cancer.

Indexed as

NomogramsStomach NeoplasmsHumansNeoplasm StagingRetrospective StudiesSEER Program

Identifiers

PMID34608415
PMCPMC8487388

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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.