Evidence map›Paper›PMID 37397397›Full record

SynthesisFrontiers in oncology2023

Clinical diagnostic biomarker "circulating tumor cells" in breast cancer - a meta-analysis.

Shiyan Bai, Shujin Lin, Ting Lin, Qiaowen Wang, Cui Cheng, Junru Lin, Ying Zhang, Xiwen Jiang, Xiao Han

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. 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

9 authors.

Shiyan BaiCollege of Biological Science and Engineering, Fuzhou University, Fuzhou, China.
Shujin LinCollege of Biological Science and Engineering, Fuzhou University, Fuzhou, China.
Ting LinCollege of Biological Science and Engineering, Fuzhou University, Fuzhou, China.
Qiaowen WangCollege of Biological Science and Engineering, Fuzhou University, Fuzhou, China.
Cui ChengCollege of Biological Science and Engineering, Fuzhou University, Fuzhou, China.
Junru LinCollege of Biological Science and Engineering, Fuzhou University, Fuzhou, China.
Ying ZhangIndustrial Management Engineering, National University of Singapore, Singapore, Singapore.
Xiwen JiangCollege of Biological Science and Engineering, Fuzhou University, Fuzhou, China.
Xiao HanCollege of Biological Science and Engineering, Fuzhou University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Using meta-analysis, we evaluate circulating tumor cells(CTCs) as a potential diagnostic tool for breast cancer. Methods: A document search was conducted using publicly available databases up to May 2021. Specific inclusion and exclusion criteria were formulated and summarize relevant data through literature types, research types, case populations, samples, etc. Subgroup analysis of documents based on regions, enrichment methods, and detection methods. The included research projects were evaluated using DeeKs' bias, and evaluation indicators such as specificity (SPE), sensitivity (SEN), diagnosis odds ratio (DOR) were used as evaluation indicators. Results: 16 studies on the use of circulating tumor cells to diagnose breast cancer were included in our meta-analysis. Overall sensitivity value was 0.50 (95%CI:0.48-0.52), specificity value was 0.93 (95%CI:0.92- 0.95), DOR value was 33.41 (95%CI:12.47-89.51), and AUC value was 0.8129. Conclusion: In meta-regressions and subgroup analysis, potential heterogeneity factors were analyzed, but the source of heterogeneity is still unclear. CTCs, as a novel tumor marker, have a good diagnostic value, but its enrichment and detection methods still need to continue to be developed to improve detection accuracy. Therefore, CTCs can be used as an auxiliary means of early detection, which is helpful to the diagnosis and screening of breast cancer.

Indexed as

breast cancercirculating tumor cellsdiagnosticliquid biopsymeta-analysis

Identifiers

PMID37397397
PMCPMC10313226

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.