Evidence map›Paper›PMID 30813180›Full record

SynthesisMedicine2019

Hypermethylation of tumor suppressor genes is a risk factor for poor prognosis in ovarian cancer: A meta-analysis.

Li-Yuan Feng, Chang-Xian Chen, Li Li

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Clinical Medicine Insights. Oncology · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. 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

3 authors.

Li-Yuan FengDepartment of Gynecologic Oncology, Affiliated Tumor Hospital of Guangxi Medical University, 71 Hedi Road, Nanning, Guangxi, PR China.
Chang-Xian Chen
Li Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDNA methylation is the earliest and most studied epigenetic modification in cancer. The literature reported that the abnormal methylation level of multiple genes was associated with poor prognosis in ovarian cancer. However, due to a small sample size, the results reported in the literature vary widely. In this study, the correlation between aberrant methylation level of genes and poor prognosis of ovarian cancer was reviewed in order to clarify the role of DNA methylation in the prognosis of ovarian cancer.

methodsA systematic research of PubMed, EMbase, Cochrane Library, China Biology Medicine disc (CBMdisc), China National Knowledge Infrastructure (CNKI), Wanfang databases, and EMBASE was performed, and calculated the hazard ratio (HR) of overall survival (OS) and progression-free survival (PFS) and its 95% confidence interval.

resultsHR of the OS obtained of target genes was 2.32 (95% CI: 1.54-3.48, P = .000); HR of the PFS obtained of target genes was 1.318 (95% CI: 0.848-2.050, P = .220). HR of OS achieved by tumor suppressor genes was 3.09 (95% CI 1.80 - 5.30, P = .000).

conclusionHypermethylation of tumor suppressor genes indicate poor prognosis of ovarian cancer.

Indexed as

Genes, Tumor SuppressorBiomarkers, TumorDNA MethylationFemaleHumansOvarian NeoplasmsPrognosisRisk FactorsSurvival RateBiomarkers, Tumor

Identifiers

PMID30813180
PMCPMC6408028

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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.