Evidence map›Paper›PMID 30361292›Full record

SynthesisBioscience reports2018

Diagnostic potential of circulating LncRNAs in human cardiovascular disease: a meta-analysis.

Fei Luo, Tao Wang, Lini Zeng, Shanshan Zhu, Wenjun Cao, Wei Wu, Hongfu Wu, Tangbin Zou

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Bioscience reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Novel Cardiovascular Risk Factors in Patients with Diabetic Kidney Disease.International journal of molecular sciences · 2021
    Review
  7. Review
  8. 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

8 authors at 2 institutions in 1 country.

Fei LuoDongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan 523808, China.ORCID 0000-0002-9147-1961
Tao WangThe Third Affiliated Hospital of Guangdong Medical University (Longjiang Hospital of Shunde District), Foshan 528318, China.
Lini ZengSchool of Basic Medical Sciences, Guangdong Medical University, Dongguan 523808, China.
Shanshan ZhuDongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan 523808, China.
Wenjun CaoDongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan 523808, China.
Wei WuSchool of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Hongfu WuSchool of Basic Medical Sciences, Guangdong Medical University, Dongguan 523808, China zoutb@163.com hongfuw@126.com.
Tangbin ZouDongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan 523808, China zoutb@163.com hongfuw@126.com.
Guangdong Medical College · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) is a major killer of the human population around the world. Identifying effective diagnostic biomarkers for CVDs is particularly important in order to guide optimizing treatment. Accumulating evidence on aberrantly regulated circulating long non-coding RNAs (LncRNAs) promise to serve as a diagnostic or prognostic biomarker for various types of CVDs. We summarized studies to identify the potential diagnostic values of LncRNAs in CVD patients. We included articles reporting on the association between LncRNAs and diagnosis in CVDs. We calculated sensitivities, specificities, and area under the curves of LncRNAs. The pooled overall sensitivity and specificity for LncRNAs expression profile in differentiating CVD patients from controls (non-CVDs or healthy subjects) were 0.74 (95%CI 0.68-0.80) and 0.81 (95%CI 0.76-0.85), respectively; the overall positive likelihood ratio, 3.9 (95%CI 3.1-4.9); the negative likelihood ratio, 0.32 (95%CI 0.25-0.40); corresponding to an area under curve of 0.85 (95%CI 0.82-0.88) and overall diagnostic odds ratio 12 (95%CI 9-18). Subgroup analysis showed that the detection of LncRNAs expression in plasma substantially improved the diagnostic accuracy. Likewise, meta-regression analysis indicated that the detection method and sample size were the main source of heterogeneity. All these results suggested a relatively good reference value of LncRNAs as auxiliary biomarkers for CVDs, and should be considered in cases where the diagnosis is uncertain. Population-based prospective cohort studies are warranted to confirm our findings.

Indexed as

BiomarkersCardiovascular DiseasesCell-Free Nucleic AcidsHumansRNA, Long NoncodingBiomarkersCell-Free Nucleic AcidsRNA, Long NoncodingbiomarkerCardiovascular diseaseDiagnosisLong non-coding RNA

Identifiers

PMID30361292
PMCPMC6435511
OpenAlexW2898371452

What OpenQuestion holds

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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.