Evidence map›Paper›PMID 31124974›Full record

SynthesisMedicine2019

Prognostic value of long non-coding RNA breast cancer anti-estrogen resistance 4 in human cancers: A meta-analysis.

Yang Meng, Yu-Lan Liu, Kai Li, Tao Fu

Abstract readMeta-AnalysisSystematic Review
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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

4 authors.

Yang MengDepartment of Gastrointestinal Surgery II, Key Laboratory of Hubei Province for Digestive System Disease.
Yu-Lan LiuDepartment of Critical Care Medicine, Remin Hospital of Wuhan University, Wuhan, China.
Kai LiDepartment of Gastrointestinal Surgery II, Key Laboratory of Hubei Province for Digestive System Disease.
Tao FuDepartment of Gastrointestinal Surgery II, Key Laboratory of Hubei Province for Digestive System Disease.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince long non-coding RNA breast cancer anti-estrogen resistance 4 (lncRNA BCAR4) is dysregulated in various types of cancers, we conducted a meta-analysis to determine its prognostic value in cancer.

methodsPubMed, EMBASE database, and CENTRAL were systematically searched.Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were collected to estimate the prognostic value. Odds ratios (ORs) and their 95% CIs were used to assess the association between lncRNA BCAR4 expression and clinicopathological features, including tumor size, differentiation, lymph node metastasis, distant metastasis, and tumor stage.

resultsTen studies with 890 patients were included in this meta-analysis. The pooled results indicated that high lncRNA BCAR4 expression was associated with poor overall survival (OS) (HR 2.80, 95% CI: 2.08-3.78; P < .001). Overexpression of lncRNA BCAR4 was related to lymph node metastasis (OR 3.68, 95% CI: 2.25-6.00; P < .001), high tumor stage (OR 3.19, 95% CI: 1.98-5.13; P < .001), and distant metastasis (OR 3.83, 95% CI: 2.15-6.82; P < .001), but not to tumor size.

conclusionsTherefore, lncRNA BCAR4 overexpression is associated with poor OS and advanced clinicopathological features, and lncRNA BCAR4 may be a novel prognostic biomarker in cancer patients. However, further high-quality studies are needed to confirm these findings.

Indexed as

AdultBiomarkers, TumorBreast NeoplasmsCarcinoma, Non-Small-Cell LungColorectal NeoplasmsFemaleHumansLung NeoplasmsLymphatic MetastasisMiddle AgedNeoplasmsOsteosarcomaPrognosisProportional Hazards ModelsRNA, Long NoncodingStomach NeoplasmsBCAR4 non-coding RNA, humanBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID31124974
PMCPMC6571273

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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.