Evidence map›Paper›PMID 32725794›Full record

ArticleThoracic cancer2020

Combined neat model for the prognosis of postoperative stage III-N2 non-small cell lung cancer.

Yirui Zhai, Zhouguang Hui, Yu Men, Yang Luo, Yushun Gao, Jingjing Kang, Xin Sun, Jianyang Wang

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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 2 countries.

Yirui ZhaiDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Zhouguang HuiDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID 0000-0002-7189-4692
Yu MenDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yang LuoDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yushun GaoDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jingjing KangDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xin SunDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jianyang WangDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Beijing Hope Run Special Fund of Cancer Foundation of China LC2016L03CAMS Innovation Fund for Medical Sciences 2016-I2M-1-011CAMS Key Lab of Translational Research on Lung Cancer 2018PT31035Clinical Application Project of Beijing Municipal Commission of Science and Technology Z171100001017114National key research and development program 2017YFC1311000National key research and development program 2017YFC1311002
6 · The paper itself

Abstract

backgroundLung cancer serum tumor markers including carcinoembryonic antigen (CEA), cytokeratin 19 fragment (CYFRA21-1), and carbohydrate antigen 125(CA125) as prognostic predictors is controversial. Therefore, this study aimed to evaluate the association between these markers and the survival of patients with postoperative stage III-N2 non-small cell lung cancer (NSCLC).

methodsWe enrolled 1011 patients with pathologically confirmed stage III-N2 NSCLC who underwent resection and whose pretreatment serum tumor marker levels were available. Patients were categorized according to their serum levels into low-, medium-, and high-risk groups. Overall survival (OS), progression-free survival (PFS), local regional relapse-free survival (LRFS), and distant metastasis-free survival (DMFS) were calculated from the date of resection. Their association with each serum tumor marker was assessed using the log-rank test.

resultsAbnormal CEA levels were associated with worse five-year OS, PFS and DMFS; abnormal CYFRA21-1 levels were associated with worse five-year OS and LRFS; and abnormal CA125 levels were associated with worse five-year OS, PFS, LRFS and DMFS. Among the risk groups, there were significant differences in five-year OS, PFS, LRFS and DMFS (P = 0.000). In propensity score matching analysis, the model also achieved prognostic significance for all four survival classifications (P = 0.001-0.004) among the three risk groups.

conclusionsThe combined model achieved prognostic significance for all survival outcome types. The serum tumor markers tested are useful prognostic predictors for postoperative NSCLC patients but not for all survival outcomes. The combination of the three indices is more reliable in predicting all four of the survival outcomes. KEY POINTS: SIGNIFICANT FINDINGS OF THE STUDY: Serum CEA, CYFRA21-1, and CA125 levels can be used as prognostic factors of postoperative N2 non-small cell lung cancer patients but not for all survival outcomes, suggesting that combinative detection of all three indices would be more reliable. WHAT THIS STUDY ADDS: Our model utilizes available technology, with conventional cutoff values, inexpensive costs, and simple mathematics methods and, thus, can be feasibly employed by clinicians or oncologists.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingPostoperative PeriodPrognosisSurvival AnalysisCA 125CEACYFRA 21-1non-small cell lung cancerserum tumor marker

Identifiers

PMID32725794
PMCPMC7471036
OpenAlexW3045815696

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.