Evidence map›Paper›PMID 32273757›Full record

ArticleCancer management and research2020

Association Between Multiple Lines of Active Therapy and Prognosis in Esophageal Squamous Cell Carcinoma.

Ying Yang, Jun Jia, Zhiwei Sun, Chuanling Liu, Yanjie Xiao, Jing Yu, Feng Du, Xiaodong Zhang

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2020. 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
–field-weighted citation impact, top 96% 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

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

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

8 authors at 1 institution in 1 country.

Ying YangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), The VIP-II Gastrointestinal Cancer Division of Medical Department, Peking University Cancer Hospital & Institute, Beijing, China.
Jun JiaKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), The VIP-II Gastrointestinal Cancer Division of Medical Department, Peking University Cancer Hospital & Institute, Beijing, China.
Zhiwei SunKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), The VIP-II Gastrointestinal Cancer Division of Medical Department, Peking University Cancer Hospital & Institute, Beijing, China.
Chuanling LiuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), The VIP-II Gastrointestinal Cancer Division of Medical Department, Peking University Cancer Hospital & Institute, Beijing, China.
Yanjie XiaoKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), The VIP-II Gastrointestinal Cancer Division of Medical Department, Peking University Cancer Hospital & Institute, Beijing, China.
Jing YuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), The VIP-II Gastrointestinal Cancer Division of Medical Department, Peking University Cancer Hospital & Institute, Beijing, China.
Feng DuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), The VIP-II Gastrointestinal Cancer Division of Medical Department, Peking University Cancer Hospital & Institute, Beijing, China.ORCID 0000-0002-3709-1933
Xiaodong ZhangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education, China), The VIP-II Gastrointestinal Cancer Division of Medical Department, Peking University Cancer Hospital & Institute, Beijing, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEsophageal squamous cell carcinoma (ESCC) is a critical threat to health and life. More than half of ESCC patients have recurrent or metastatic disease. Most late-stage patients undergo first-line treatment but experience further progression. Many of these patients have good performance status and are able to receive second-line therapy and even further treatments rather than best supportive care. Our analysis aimed to explore whether multiple lines of active treatment are beneficial in ESCC patients.

methodsWe conducted a retrospective cohort study. Univariate and multivariate survival analyses were used to identify whether the number of active treatment lines was related to prognosis. All analyses and the corresponding survival curves were based on the Cox proportional hazard regression model and the Kaplan-Meier method. Comparisons between groups were conducted using the

resultsOf a total of 138 patients with recurrent or metastatic disease, 66 (61.1%) received one line of active treatment, and 42 (38.9%) patients received two and more lines. Multiple lines of active therapy were statistically significantly associated with better prognosis (crude hazard ratio (HR) (95% confidence interval (CI))=0.21 (0.06-0.73)), even after adjusting for relevant confounders (adjusted HR (95% CI)=0.19 (0.04-0.86)). More grade 3-4 hepatotoxicity patients were observed in the multiple-line treatment group (p=0.033). A small number of patients were cured by palliative management; these patients were more likely to have received both systematic and local treatment than other patients with repeated progression (9/15 versus 40/117, p=0.051).

conclusionMultiple lines of active treatment are related to prolonged survival in recurrent and metastatic ESCC patients, and adverse effects are acceptable. Comprehensive therapy modalities are recommended.

Indexed as

esophageal squamous cell carcinomamultiple lines of active treatmentprognosis

Identifiers

PMID32273757
PMCPMC7102887
OpenAlexW3012562569

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.