Evidence map›Paper›PMID 38410801›Full record

SynthesisPeerJ2024

The relationship between cancer associated fibroblasts biomarkers and prognosis of breast cancer: a systematic review and meta-analysis.

Meimei Cui, Hao Dong, Wanli Duan, Xuejie Wang, Yongping Liu, Lihong Shi, Baogang Zhang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
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

11 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
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  5. Review
  6. Postpartum breast cancer: evidence for a distinct phenotype.Journal of the National Cancer Institute · 2026
    Article
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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

7 authors.

Meimei CuiDepartment of Pathology, School of Basic Medical Sciences, Shandong Second Medical University, Weifang, Shandong, China.
Hao DongDepartment of Pathology, School of Basic Medical Sciences, Shandong Second Medical University, Weifang, Shandong, China.
Wanli DuanDepartment of Pathology, School of Basic Medical Sciences, Shandong Second Medical University, Weifang, Shandong, China.
Xuejie WangDepartment of Pathology, School of Basic Medical Sciences, Shandong Second Medical University, Weifang, Shandong, China.
Yongping LiuDepartment of Pathology, School of Basic Medical Sciences, Shandong Second Medical University, Weifang, Shandong, China.
Lihong ShiSchool of Rehabilitation Medicine, Shandong Second Medical University, Weifang, Shandong, China.
Baogang ZhangDepartment of Pathology, School of Basic Medical Sciences, Shandong Second Medical University, Weifang, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To elucidate the relationship between cancer-associated fibroblast (CAFs) biomarkers and the prognosis of breast cancer patients for individualized CAFs-targeting treatment. Methodology: PubMed, Web of Science, Cochrane, and Embase databases were searched for CAFs-related studies of breast cancer patients from their inception to September, 2023. Meta-analysis was performed using R 4.2.2 software. Sensitivity analyses were performed to explore the sources of heterogeneity. Funnel plot and Egger's test were used to assess the publication bias. Results: Twenty-seven studies including 6,830 patients were selected. Univariate analysis showed that high expression of platelet-derived growth factor receptor- Conclusions: The high expression of

Indexed as

Breast NeoplasmsCancer-Associated FibroblastsBiomarkers, TumorBreastFemaleHumansReceptor, Platelet-Derived Growth Factor betaTissue Inhibitor of Metalloproteinase-2Biomarkers, TumorReceptor, Platelet-Derived Growth Factor betaTissue Inhibitor of Metalloproteinase-2Breast cancerCancer associated fibroblastsMeta-analysisPrognostic biomarkers

Identifiers

PMID38410801
PMCPMC10896086
OpenAlexW4392106702

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.