Evidence map›Paper›PMID 35596744›Full record

ArticleJournal of clinical laboratory analysis2022

Efficacy of autoantibodies combined with tumor markers in the detection of lung cancer.

Yinyu Mu, Jing Li, Fuyi Xie, Lin Xu, Guodong Xu

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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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

5 authors at 1 institution in 1 country.

Yinyu MuDepartment of Laboratory Medicine, Ningbo Medical Center, Lihuili Hospital, Ningbo University, Ningbo, China.ORCID https://orcid.org/0000-0003-1239-2761
Jing LiDepartment of Laboratory Medicine, Ningbo Medical Center, Lihuili Hospital, Ningbo University, Ningbo, China.
Fuyi XieDepartment of Laboratory Medicine, Ningbo Medical Center, Lihuili Hospital, Ningbo University, Ningbo, China.
Lin XuDepartment of Laboratory Medicine, Ningbo Medical Center, Lihuili Hospital, Ningbo University, Ningbo, China.
Guodong XuDepartment of Cardiothoracic Surgery, Ningbo Medical Center, Lihuili Hospital, Ningbo University, Ningbo, China.
Ningbo University · CN

Funding

Natural Science Foundation of Ningbo 2019A610230Natural Science Foundation of Ningbo 2021J278Natural Science Foundation of Zhejiang Province LY22H160004NINGBO Medical & Health Leading Academic Discipline Project 2022-F06Zhejiang Province Medical and Health Project 2019KY606Zhejiang Province Medical and Health Project 2022518296
6 · The paper itself

Abstract

backgroundThe purpose of this study was to explore the detection value of seven autoantibodies (TAAbs): p53, PGP9.5, SOX2, GBU4-5, MAGE A1, CAGE, and GAGE7 and three tumor markers: CYFRA21-1, NSE, and SCCA in the diagnosis of lung cancer.

methodsELISA was used to detect the levels of the TAAbs, and chemiluminescence immunoassay was used to test the levels of the tumor markers. The diagnostic efficacy of the TAAbs combined with the tumor markers for lung cancer was evaluated by receiver operating characteristic (ROC) curves.

resultsThe positive rate of the combined detection of seven TAAbs and three tumor markers in lung cancer (37.8%) was higher than that in other three groups. The positive rates of SOX2, GAGE7, MAGE A1, CAGE, CYFRA21-1, and SCCA had differences among the four groups. Compared with the benign lung disease group, only GAGE7, CYFRA21-1, and SCCA differed among the groups. The combined sensitivity of the TAAbs was 29.07% (AUC, 0.594), the combined sensitivity of all the markers was 37.76% (AUC, 0.660 [p < 0.05]), and Youden's index was 0.196. In the lung cancer group, CYFRA21-1 had a significant difference in age and sex, and SOX2, MAGE A1, CYFRA21-1, NSE, and SCCA were significantly different in pathological type and TNM. In contrast, p53 and GBU4-5 showed no significant differences in age, sex, pathological type, and TNM.

conclusionsThe combined detection of seven TAAbs and three tumor markers could be useful in early diagnosis of lung cancer.

Indexed as

Biomarkers, TumorLung NeoplasmsAntigens, NeoplasmAutoantibodiesHumansKeratin-19Tumor Suppressor Protein p53antigen CYFRA21.1Antigens, NeoplasmAutoantibodiesBiomarkers, TumorKeratin-19Tumor Suppressor Protein p53autoantibodycombinationdiagnosislung cancertumor markers

Identifiers

PMID35596744
PMCPMC9396187
OpenAlexW4281249847

What OpenQuestion holds

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LicenceCC BY
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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.