Evidence map›Paper›PMID 35832243›Full record

ArticleComputational intelligence and neuroscience2022

Application Value Analysis of Seven-Autoantibody Panel in the Lung Cancer Screening in Yunnan.

Wenrun Li, Yi Sun, Ning Xu

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Wenrun LiDepartment of Medical Laboratory, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.ORCID https://orcid.org/0000-0001-9644-0892
Yi SunDepartment of Medical Laboratory, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.ORCID https://orcid.org/0000-0001-9532-948X
Ning XuDepartment of Medical Laboratory, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.ORCID https://orcid.org/0000-0001-8800-4484
Kunming University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To study the application value of seven-autoantibody (anti-CAGE, anti-GAGE7, anti-GBU4-5, anti-MAGE A1, anti-P53, and anti-PGP9.5, anti-SOX2) in lung cancer (LC) screening in Yunnan. Methods: The clinical data of 329 lung cancer patients and 202 nonlung cancer controls in the First People's Hospital of Yunnan Province from November 2018 to April 2022 were retrospectively analyzed. The detection results of anti-CAGE, anti-GAGE7, anti-GBU4-5, anti-MAGE A1, anti-P53, anti-PGP9.5, and anti-SOX2 were collected. The receiver operating curve (ROC) was used to analyze the value of these seven-autoantibody in the detection of LC alone and in combination, and the area under the curve (AUC), sensitivity, specificity, and cut-off values were calculated. Results: The levels of anti-CAGE, anti-GAGE7, anti-GBU4-5, anti-MAGE A1, anti-P53, anti-PGP9.5 and anti-SOX2 in LC patients were significantly higher than those in the controls, and the differences were statistically significant ( Conclusion: The individual detection and combined detection of the seven-autoantibody have a certain value in the diagnosis of LC in Yunnan, and it can provide a certain reference for clinical LC screening.

Indexed as

Lung NeoplasmsAutoantibodiesChinaEarly Detection of CancerHumansRetrospective StudiesROC CurveAutoantibodies

Identifiers

PMID35832243
PMCPMC9273362
OpenAlexW4283821719

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.