Evidence map›Paper›PMID 36093557›Full record

ArticleTranslational cancer research2022

Prognostic risk factors for T1 thoracic esophageal cancer: a retrospective cohort study.

Linghua Wei, Chengzhen Xu, Longjian Gao, Debao Chen, Yaxi Duan, Xiangjun Gao, Xiaomin Wu

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

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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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Linghua WeiCollege of Computer Science and Technology, Huaibei Normal University, Huaibei, China.
Chengzhen XuCollege of Computer Science and Technology, Huaibei Normal University, Huaibei, China.
Longjian GaoCollege of Computer Science and Technology, Huaibei Normal University, Huaibei, China.
Debao ChenCollege of Computer Science and Technology, Huaibei Normal University, Huaibei, China.
Yaxi DuanCollege of Computer Science and Technology, Huaibei Normal University, Huaibei, China.
Xiangjun GaoCollege of Computer Science and Technology, Huaibei Normal University, Huaibei, China.
Xiaomin WuCollege of Life Sciences, Huaibei Normal University, Huaibei, China.
Huaibei Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Esophageal cancer has a poor overall prognosis and a high incidence of post-treatment complications. This study aimed to analyze the common surgical methods for treating T1 thoracic esophageal cancer and explore its prognostic risk factors to provide a basis for appropriate treatment selection. Methods: In this population-based retrospective cohort study, data of patients diagnosed with T1 thoracic esophageal cancer from 2010 to 2016 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were divided according to those who had surgery and those who had radiotherapy. Survival curves were generated using the Kaplan-Meier method and validated by the log-rank test. Cox's regression model was used to analyze the independent prognostic risk factors. Results: Overall, 2,027 eligible patients, including 824 and 1,203 patients in the surgical and non-surgical groups, respectively, were analyzed. There was no significant difference in survival between the surgical and non-surgical groups (P=0.79). In subgroup analysis, the Cox regression analysis showed that radiotherapy was a significant prognostic factor (P=0.00059). Conclusions: The impact of surgery on patients with T1 thoracic esophageal cancer was insignificant; however, radiotherapy was an independent prognostic risk factor. These results provide a reliable basis for clinical treatment of patients with T1 thoracic esophageal cancer.

Indexed as

Esophageal cancerprognostic risk factorsradiotherapysurgerySurveillance, Epidemiology, and End Results database (SEER database)

Identifiers

PMID36093557
PMCPMC9459650
OpenAlexW4285537525

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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.