Evidence map›Paper›PMID 33682521›Full record

SynthesisThe Journal of international medical research2021

Role of circulating tumor cells in diagnosis of lung cancer: a systematic review and meta-analysis.

Qingtao Zhao, Zheng Yuan, Huien Wang, Hua Zhang, Guochen Duan, Xiaopeng Zhang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 2 syntheses or guidelines 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

6 authors.

Qingtao ZhaoDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China.
Zheng YuanDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China.
Huien WangDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China.
Hua ZhangDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China.
Guochen DuanDepartment of Thoracic Surgery, Children's Hospital of Hebei Province, Shijiazhuang, China.ORCID https://orcid.org/0000-0002-3877-4453
Xiaopeng ZhangDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe systematically reviewed the literature relating to the diagnostic accuracy of circulating tumor cells (CTCs) for the clinical determination of lung cancer.

methodsThis meta-analysis aimed to evaluate the diagnostic accuracy of CTCs for the clinical determination of lung cancer. The PubMed, Embase, Cochrane Library, and Web of Science databases were searched for relevant studies up to 31 May 2020. The numbers of patients with true positive, false positive, false negative, and true negative results were extracted from each individual study. Pooled sensitivity, specificity, and area under the curve values were calculated with 95% confidence intervals (CI).

resultsTwenty-one studies with 3997 subjects met the inclusion criteria. The overall diagnostic accuracy was assessed. The pooled sensitivity and specificity were 0.72 (95%CI: 0.65-0.79) and 0.96 (95%CI: 0.91-0.98), respectively, and the pooled positive and negative likelihood ratios were 16.86 (95%CI: 7.65-37.12) and 0.29 (95%CI: 0.23-0.37), respectively. The combined diagnostic odds ratio was 58.12 (95%CI: 24.82-136.09).

conclusionThis meta-analysis indicated that CTCs had good diagnostic value for detecting lung cancer.

Indexed as

Lung NeoplasmsNeoplastic Cells, CirculatingCell CountHumansOdds RatioSensitivity and Specificitybiomarkercirculating tumor celldiagnosisLung cancermeta-analysissensitivityspecificity

Identifiers

PMID33682521
PMCPMC7944544

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.