Evidence map›Paper›PMID 31577719›Full record

SynthesisMedicine2019

Prognostic significance of long non-coding RNAs in clear cell renal cell carcinoma: A meta-analysis.

Yan Wang, Zhan Li, Wei Li, Le Zhou, Yuehua Jiang

Open access · goldAbstract readMeta-Analysis
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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Machine Learning Gene Signature to Metastatic ccRCC Based on ceRNA Network.International journal of molecular sciences · 2024
    Article
  3. Article
  4. lncRNA PVT1: a novel oncogene in multiple cancers.Cellular & molecular biology letters · 2022
    Review
  5. Article
  6. Article
  7. Article
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

5 authors at 2 institutions in 1 country.

Yan WangDepartment of Nephrology, Affiliated Hospital of Shandong Academy of Medical Sciences, Shandong First Medical University.
Zhan LiDepartment of Cardiology, Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University.
Wei LiDepartment of Nephrology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine.
Le ZhouDepartment of Nephrology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine.
Yuehua JiangCentral Laboratory, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, PR China.
Affiliated Hospital of Shandong University of Traditional Chinese Medicine · CNShandong First Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClear cell renal cell carcinoma (ccRCC) is the most common form of kidney cancer in adults, and patients with advanced ccRCC have a 5-year survival rate of <30%. The poor prognosis of ccRCC is closely related to its lacking of potential therapeutic and prognostic biomarkers. This meta-analysis aimed to elucidate the precise prognostic value of long non-coding RNAs (lncRNAs) in patients with ccRCC.

methodsA literature search was performed in related databases up to January 31, 2019. Hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) were calculated to explore the relationship between special lncRNAs expression and survival in patients with ccRCC.

resultsAfter literature researching, a total of 16 studies, including 13 lncRNAs were identified. The data from studies that investigated the association between lncRNA expression and survival outcomes in patients with ccRCC were extracted. Results revealed that lncRNAs expression was significantly associated with poor overall survival (OS) outcome in patients with ccRCC (HR = 1.71, 95%CI = 1.40-2.01 in up-regulated subgroup; HR = 0.53, 95% CI = 0.25-0.80 in down-regulated subgroup). The overexpression of PVT1 was significantly associated with poor OS in ccRCC (HR = 1.51, 95% CI = 1.02-2.00). Meanwhile, up-regulation of LUCAT1 was significantly related to worse OS in ccRCC patients (HR = 1.51, 95% CI = 1.01-2.00).

conclusionsThese results suggest that lncRNAs could be used to predict unfavorable prognosis and function as potential prognostic biomarkers in ccRCC.

Indexed as

Age FactorsBiomarkers, TumorCarcinoma, Renal CellCell ProliferationClinical Trials as TopicDown-RegulationHumansKaplan-Meier EstimateKidney NeoplasmsNeoplasm StagingPrognosisProportional Hazards ModelsRNA, Long NoncodingSex FactorsSurvival RateTumor BurdenBiomarkers, Tumorlong non-coding RNA LUCAT1, humanPVT1 long-non-coding RNA, humanRNA, Long Noncoding

Identifiers

PMID31577719
PMCPMC6783199
OpenAlexW2979213577

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.