Evidence map›Paper›PMID 28977966›Full record

ArticleOncotarget2017

Clinicopathological and prognostic significance of circulating tumor cells in patients with lung cancer: a meta-analysis.

Tingjuan Xu, Guodong Shen, Min Cheng, Weiping Xu, Gan Shen, Shilian Hu

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PubMed Full text at PMC Publisher
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Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

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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.

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4 · The record

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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.

Tingjuan XuGerontology Institute of Anhui Province, Anhui Provincial Hospital Affiliated Anhui Medical University, Hefei 230001, China.
Guodong ShenGerontology Institute of Anhui Province, Anhui Provincial Hospital Affiliated Anhui Medical University, Hefei 230001, China.
Min ChengGerontology Institute of Anhui Province, Anhui Provincial Hospital Affiliated Anhui Medical University, Hefei 230001, China.
Weiping XuGerontology Institute of Anhui Province, Anhui Provincial Hospital Affiliated Anhui Medical University, Hefei 230001, China.
Gan ShenGerontology Institute of Anhui Province, Anhui Provincial Hospital Affiliated Anhui Medical University, Hefei 230001, China.
Shilian HuGerontology Institute of Anhui Province, Anhui Provincial Hospital Affiliated Anhui Medical University, Hefei 230001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognostic significance of circulating tumor cells in patients with lung cancer is controversial. Therefore, we aimed to comprehensively and quantitatively assess the prognostic role of CTCs in patients with lung cancer.

methodsThe relevant literature was searched using PubMed, the Cochrane database and the China National Knowledge Internet database (up to June 2016). Using Review Manager 5.1.2, a meta-analysis was performed using hazard ratio (HR), odds ratio (OR) and 95% confidence interval (CI) as effect values.

resultsThirty studies comprising 2,060 patients with lung cancer were analyzed. The pooled HR values showed that circulating tumor cells were significantly correlated with overall survival (HR =2.63, 95% CI [2.04, 3.39]) and progression-free survival (HR =3.74, 95% CI [2.49, 5.61]) in these patients. Further subgroup analyses were conducted and categorized by sampling time, detection method, and histological type; these analyses showed the same trend. The pooled OR values showed that circulating tumor cells were associated with non small cell lung cancer stage(OR = 2.11, 95% CI [1.42, 3.14]), small cell lung cancer stage (OR = 10.91, 95% CI [4.10, 29.06]), distant metastasis (OR =7.06, 95%CI [2.82, 17.66]), lymph node metastasis (OR =2.31, 95% CI [1.19,4.46]), and performance status(OR =0.42, 95%CI [0.22, 0.78]).

conclusionThe detection of circulating tumor cells in the peripheral blood of patients with lung cancer can be indicative of a poor prognosis.

Indexed as

circulating tumor cellsclinicopathological parameterslung cancermeta-analysisprognosis

Identifiers

PMID28977966
PMCPMC5617526

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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.