Evidence map›Paper›PMID 38869739›Full record

SynthesisClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2024

Value of circulating tumor cell assisting low-dose computed tomography in screening pulmonary nodules based on existing liquid biopsy techniques: a systematic review with meta-analysis and trial sequential analysis.

Yixian Wang, Yuqing Duan, Dingjie Guo, Hongbo Lv, Qiong Li, Xuan Liu, Na Qiao, Hengyu Meng, Xin Zhang, Linwei Lan and 2 more

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

12 authors.

Yixian WangDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, 130021, China.
Yuqing DuanDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, 130021, China.
Dingjie GuoDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, 130021, China.
Hongbo LvDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, 130021, China.
Qiong LiDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, 130021, China.
Xuan LiuDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, 130021, China.
Na QiaoDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, 130021, China.
Hengyu MengDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, 130021, China.
Xin ZhangDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, 130021, China.
Linwei LanDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, 130021, China.
Xiumin Liu *Department of Clinical Laboratory, The Second Hospital of Jilin University, Changchun, Jilin, 130041, China. liuxium@jlu.edu.cn.
Xin Liu *Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, 130021, China. liuxinjlu01@163.com.ORCID http://orcid.org/0000-0002-3486-5753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to assess the diagnostic utility of circulating tumor cells (CTCs) in conjunction with low-dose computed tomography (LDCT) for differentiating between benign and malignant pulmonary nodules and to substantiate the foundation for their integration into clinical practice.

methodsA systematic literature review was performed independently by two researchers utilizing databases including PubMed, Web of Science, The Cochrane Library, Embase, and Medline, to collate studies up to September 15, 2023, that investigated the application of CTCs in diagnosing pulmonary nodules. A meta-analysis was executed employing Stata 15.0 and Revman 5.4 to calculate the pooled sensitivity, specificity, positive and negative likelihood ratios (PLR and NLR), diagnostic odds ratio (DOR), and the area under the receiver operating characteristic curve (AUC). Additionally, trial sequential analysis was conducted using dedicated TSA software.

resultsThe selection criteria identified 16 studies, encompassing a total of 3409 patients. The meta-analysis revealed that CTCs achieved a pooled sensitivity of 0.84 (95% CI 0.80 to 0.87), specificity of 0.80 (95% CI 0.73 to 0.86), PLR of 4.23 (95% CI 3.12 to 5.72), NLR of 0.20 (95% CI 0.16 to 0.25), DOR of 20.92 (95% CI 13.52 to 32.36), and AUC of 0.89 (95% CI 0.86 to 0.93).

conclusionsCirculating tumor cells demonstrate substantial diagnostic accuracy in distinguishing benign from malignant pulmonary nodules. The incorporation of CTCs into the diagnostic protocol can significantly augment the diagnostic efficacy of LDCT in screening for malignant lung diseases.

Indexed as

Lung NeoplasmsMultiple Pulmonary NodulesNeoplastic Cells, CirculatingTomography, X-Ray ComputedDiagnosis, DifferentialEarly Detection of CancerHumansLiquid BiopsyROC CurveSensitivity and SpecificitySolitary Pulmonary NoduleBenign and malignantCTCMeta-analysisPulmonary nodulesTrial sequential analysis

Identifiers

What OpenQuestion holds

Textmetadata
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.