Evidence map›Paper›PMID 33893839›Full record

ArticleJournal of cancer research and clinical oncology2022

Application of circulating genetically abnormal cells in the diagnosis of early-stage lung cancer.

Xiaochang Qiu, Haoran Zhang, Yongheng Zhao, Jing Zhao, Yunyan Wan, Dezhi Li, Zhouhong Yao, Dianjie Lin

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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  3. Liquid biopsy in lung cancer.Breathe (Sheffield, England) · 2025
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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 2 institutions in 1 country.

Xiaochang QiuShandong First Medical University Affiliated Provincial Hospital, Shandong First Medical University, Jinan, 250021, Shandong Province, People's Republic of China.ORCID http://orcid.org/0000-0001-8814-7821
Haoran ZhangDepartment of Respiratory and Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250021, Shandong Province, People's Republic of China.
Yongheng ZhaoShandong University, Cheeloo College of Medicine, Jinan, 250021, Shandong Province, People's Republic of China.
Jing ZhaoShandong First Medical University Affiliated Provincial Hospital, Jinan, 250021, Shandong Province, People's Republic of China.
Yunyan WanShandong First Medical University Affiliated Provincial Hospital, Jinan, 250021, Shandong Province, People's Republic of China.
Dezhi LiShandong First Medical University Affiliated Provincial Hospital, Jinan, 250021, Shandong Province, People's Republic of China.
Zhouhong YaoShandong First Medical University Affiliated Provincial Hospital, Jinan, 250021, Shandong Province, People's Republic of China. yaozhouhong@163.com.
Dianjie LinShandong First Medical University Affiliated Provincial Hospital, Jinan, 250021, Shandong Province, People's Republic of China. lindianjie@126.com.
Shandong Provincial Hospital · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLung cancer is the leading cause of cancer-related death worldwide. The early detection of lung cancer is crucial for the diagnosis of this disease. Therefore, an effective and noninvasive method for the early diagnosis of lung cancer is urgently needed.

methodsTo evaluate the diagnostic performance of circulating genetically abnormal cells (CACs) in early lung cancer, a total of 63 participants who completed CAC detection by Zhuhai SanMed Biotech Inc. and obtained pathological results from January to December 2020 were included in our study; 50 patients had lung cancer and 13 patients had benign lung disease. The levels of lung cancer-related markers in peripheral blood and the chest computed tomography (CT) imaging characteristics of these patients were collected before pathological acquisition.

resultsThe positive rate of CAC was 90.0% in the lung cancer group and 23.1% in the benign lung disease group, and the difference was statistically significant (P < 0.01). The area under the receiver operating characteristic (ROC) curve of CAC was 0.837, the sensitivity was 90%, and the specificity was 76.9%. The area under the ROC curve and sensitivity were both higher than those of the combined or single serum tumor marker test.

conclusionsThis study preliminarily concludes that the CAC test, as a noninvasive test, has high sensitivity and specificity for the early diagnosis of lung cancer. This test is expected to help with the early detection of disease in lung cancer patients.

Indexed as

AdultAgedBiomarkers, TumorEarly Detection of CancerFemaleFollow-Up StudiesHumansLung NeoplasmsMaleMiddle AgedNeoplastic Cells, CirculatingPrognosisRetrospective StudiesROC CurveSmall Cell Lung CarcinomaTomography, X-Ray ComputedBiomarkers, TumorCACCirculating genetically abnormal cellsEarly diagnosisLung cancer

Identifiers

PMID33893839
PMCPMC11801133
OpenAlexW3156785895

What OpenQuestion holds

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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.