Evidence map›Paper›PMID 32845581›Full record

ArticleCancer communications (London, England)2020

Clinical characteristics and survival of 5283 esophageal cancer patients: A multicenter study from eighteen hospitals across six regions in China.

Yutong He, Di Liang, Lingbin Du, Tiantian Guo, Yanyu Liu, Xibin Sun, Ning Wang, Min Zhang, Kuangrong Wei, Baoen Shan and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Cancer communications (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 3 pooled it
–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

63 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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3 more citing papers are in PubMed but not listed here.

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

11 authors.

Yutong HeCancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang, Hebei, 050000, P. R. China.
Di LiangCancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang, Hebei, 050000, P. R. China.
Lingbin DuZhejiang Cancer Center, Hangzhou, Zhejiang, 310000, P. R. China.
Tiantian GuoCancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang, Hebei, 050000, P. R. China.
Yanyu LiuCancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang, Hebei, 050000, P. R. China.
Xibin SunHenan Cancer Hospital, Zhengzhou, Henan, 450000, P. R. China.
Ning WangBeijing Cancer Hospital, Beijing, 100021, P. R. China.
Min ZhangHubei Cancer Hospital, Wuhan, Hubei, 430000, P. R. China.
Kuangrong WeiZhongshan Cancer Hospital, Zhongshan, Guangdong, 528400, P. R. China.
Baoen ShanCancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang, Hebei, 050000, P. R. China.
Wanqing ChenNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100021, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to investigate the potential determining epidemiological and clinical risk factors affecting the survival of esophageal cancer (EC) patients across multiple hospitals in China.

methodsThis was a multicenter study comprising of newly diagnosed EC cases from Beijing, Hebei, Henan, Hubei, Zhejiang, and Guangdong Province of China. Their baseline characteristics and treatment methods data were collected from their medical records. The EpiData software was used for data quality control. The Kaplan-Meier method was used to estimate their overall survival (OS), and the Cox's proportional hazard regression model was used to estimate hazard ratios (HR) and 95% confidence interval (CI).

resultsThe 3- and 5-year OS rates of the 5283 investigated EC patients were 49.98% and 39.07%, respectively. Their median survival was 36.00 months. The median survival time of females was longer than that of males (females vs. males: 45.00 vs. 33.00, P < 0.001). The 5-year OS rate of patients who never-smoked was higher than that of smokers (never-smokers vs smokers: 40.73% vs. 37.84%, P = 0.001). There was no significant difference in the 5-year OS rate between drinkers and never-drinkers (drinkers vs never-drinkers: 34.22% vs. 29.65%, P = 0.330). In multivariate analysis, pathological stage (stage II: HR = 1.80, 95% CI = 1.40-2.31; stage III: HR = 2.62, 95% CI = 2.06-3.34; stage IV: HR = 3.90, 95% CI = 2.98-5.09), poor differentiation/undifferentiated (HR = 1.34, 95% CI = 1.11-1.63), not married status (HR = 2.45, 95% CI = 1.49-4.04), production and service personnel (HR = 1.36, 95% CI = 1.01-1.83) and farming/fishing (HR = 1.40, 95% CI = 1.12-1.76) were independent prognostic risk factors for poor EC survival. Tumors in the thoracic or abdominal part of the esophagus, female and family history of any cancer were independent factors predictive of a good EC OS.

conclusionGender, marital status, occupation, family history of any cancer, tumor topographical site, differentiation status, and pathological stage were associated with the survival rate of EC. This study reveals important clinical characteristics of esophageal cancer patients in China and provides helpful information for their clinical management and surveillance.

Indexed as

Esophageal NeoplasmsAdultAgedChinaFemaleHospitalsHumansMaleMiddle AgedNeoplasm StagingPrognosisRisk FactorsSurvival Analysisclinical factorsepidemiologyesophageal cancerlifestylemulticenter studyoverall survivalrisk factors

Identifiers

PMID32845581
PMCPMC7571391

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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.