Evidence map›Paper›PMID 30881916›Full record

SynthesisFrontiers in oncology2019

Diagnostic Value of Concentration of Circulating Cell-Free DNA in Breast Cancer: A Meta-Analysis.

Dandan Yu, Yan Tong, Xinnian Guo, Lingfang Feng, Zhaoqiang Jiang, Shibo Ying, Junlin Jia, Yuan Fang, Min Yu, Hailing Xia and 2 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. DNA Hyperstructure.ACS omega · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Impact of Preanalytical and Analytical Methods on Cell-Free DNA Diagnostics.Frontiers in cell and developmental biology · 2021
    Article
  16. Review
  17. Article
  18. Article
  19. Cell free DNA as a diagnostic and prognostic marker for cardiovascular diseases.Clinica chimica acta; international journal of clinical chemistry · 2020
    Review
  20. Review
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.

Dandan YuInstitute of Occupational Diseases, Zhejiang Academy of Medical Sciences (ZJAMS), Hangzhou, China.
Yan TongDepartment of Outpatient Office, Affiliated Hangzhou First People's Hospiital, Zhejiang University School of Medicine, Hangzhou, China.
Xinnian GuoInstitute of Occupational Diseases, Zhejiang Academy of Medical Sciences (ZJAMS), Hangzhou, China.
Lingfang FengInstitute of Occupational Diseases, Zhejiang Academy of Medical Sciences (ZJAMS), Hangzhou, China.
Zhaoqiang JiangInstitute of Occupational Diseases, Zhejiang Academy of Medical Sciences (ZJAMS), Hangzhou, China.
Shibo YingInstitute of Occupational Diseases, Zhejiang Academy of Medical Sciences (ZJAMS), Hangzhou, China.
Junlin JiaInstitute of Occupational Diseases, Zhejiang Academy of Medical Sciences (ZJAMS), Hangzhou, China.
Yuan FangInstitute of Occupational Diseases, Zhejiang Academy of Medical Sciences (ZJAMS), Hangzhou, China.
Min YuInstitute of Occupational Diseases, Zhejiang Academy of Medical Sciences (ZJAMS), Hangzhou, China.
Hailing XiaInstitute of Occupational Diseases, Zhejiang Academy of Medical Sciences (ZJAMS), Hangzhou, China.
Li ShiInstitute of Occupational Diseases, Zhejiang Academy of Medical Sciences (ZJAMS), Hangzhou, China.
Jianlin LouInstitute of Occupational Diseases, Zhejiang Academy of Medical Sciences (ZJAMS), Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnostic value of the concentration of circulating cell-free DNA (cfDNA) for breast cancer has generated inconsistent results. The aim of this study was to evaluate the first diagnostic value of the concentration of cfDNA for breast cancer by meta-analysis. Studies were retrieved by searching PubMed, Cochrane Library, and Web of Science before June 2018. Sensitivity, specificity, diagnostic odds ratio (DOR), the summary receiver operating characteristic (SROC) curve, and the area under curve (AUC) were used to summarize overall diagnostic performance. The random-effects model was used to calculate the pooled statistics. Subgroup analysis and meta-regression analysis were carried out to detect the source of heterogeneity. A total of 13 studies were identified with 1,087 breast cancer patients and 720 healthy controls. Overall, the pooled sensitivity and specificity of concentration of cfDNA for breast cancer were 87% (95% CI, 73-94%) and 87% (95% CI, 79-93%), respectively. The pooled DOR was 32.93 (95% CI, 13.52-80.19) and the SROC curve revealed an AUC of 0.93 (95% CI, 0.91-0.95). Meta-regression analysis showed that no covariate had a significant correlation with relative DOR (RDOR). Publication bias was not detected in this meta-analysis. This meta-analysis indicates that the concentration of cfDNA has potential first diagnostic value for breast cancer and plasma may be a better source of cfDNA for detection of breast cancer.

Indexed as

breast cancercirculating cell-free DNAconcentrationdiagnostic valuemeta-analysis

Identifiers

PMID30881916
PMCPMC6405437

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.