Evidence map›Paper›PMID 27311007›Full record

ArticleMedicine2016

Impact of Age on the Prognosis of Operable Gastric Cancer Patients: An Analysis Based on SEER Database.

Jie Chen, Jinggui Chen, Yu Xu, Ziwen Long, Ye Zhou, Huiyan Zhu, Yanong Wang, Yingqiang Shi

Erratum issuedAbstract readMulticenter Study
In one paragraph

Article in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Jie ChenDepartment of Gastric Cancer and Soft Tissue Sarcomas, Fudan University Shanghai Cancer Center; and Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Jinggui Chen
Yu Xu
Ziwen Long
Ye Zhou
Huiyan Zhu
Yanong Wang
Yingqiang Shi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the impact of age on the clinicopathological features and survival of patients with gastric cancer (GC), and hope to better define age-specific patterns of GC and possible associated risk factors.Using the surveillance, epidemiology, and end results (SEER) database to search the patients who diagnosed GC between 2007 and 2011 with a known age. The overall and 5-year gastric cancer specific survival (CSS) data were obtained using Kaplan-Meier plots. Multivariable Cox regression models were built for the analysis of long-term survival outcomes and risk factors.A total of 7762 GC patients treated with surgery during the 4-year study period were included in the final study cohort. We divided into five subgroups according to the different age ranges. The overall 5-year cause-specific survival (CSS) was 60.3% in Group 1 (below 45 years), 60.3% in the Group 2 (45-55 years), 61.2% in Group 3 (56-65 years), 59.2% in Group 4 (66-75 years), and 59.2% in Group 5 (older than 76 years). Kaplan-Meier plots showed that patients older than 76 years had the worst 5-year CSS of 56.0% rate in all the subgroups. Age, tumor size, primary site, histological type, and Tumor Node Metastasis stage were identified as significant risk factors for poor survival on univariate analysis (all P < 0.001, log-rank test). Additionally, as the age increased, the risk of death for GC demonstrated a significant increase.In conclusion, our analysis of the SEER database revealed that the prognosis of GC varies with age. Patients at age 56 to 65 group have more favorable clinicopathologic characteristics and better CSS than other groups.

Indexed as

HepatectomySEER ProgramAdolescentAdultAgedAged, 80 and overAge FactorsBiopsyChinaFemaleHumansLiverMaleMiddle AgedPrognosisProportional Hazards Models

Identifiers

PMID27311007
PMCPMC4998493

What Socratic holds

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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 Socratic graph.