Evidence map›Paper›PMID 29961674›Full record

ArticleBioscience reports2018

The diagnostic values of circulating miRNAs for hypertension and bioinformatics analysis.

Xiaoyi Zhang, Xiaoyan Wang, Jian Wu, Juan Peng, Xin Deng, Yi Shen, Chunjie Yang, Jie Yuan, Yunzeng Zou

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 30% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Impact of microRNAs on cardiovascular diseases and aging.The Journal of international medical research · 2024
    Review
  5. Article
  6. Circulating microRNA Biomarkers of Thiazide Response in Hypertension.Journal of the American Heart Association · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Noncoding RNAs in Hypertension.Hypertension (Dallas, Tex. : 1979) · 2019
    Review
  19. Epigenetic modification: a regulatory mechanism in essential hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2019
    Review
  20. 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

9 authors at 4 institutions in 1 country.

Xiaoyi ZhangDepartment of Geriatrics, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaoyan WangShanghai Institute of Cardiovascular Diseases, Zhongshan Hospital and Institutes of Biomedical Science, Fudan University, Shanghai, China.
Jian WuShanghai Institute of Cardiovascular Diseases, Zhongshan Hospital and Institutes of Biomedical Science, Fudan University, Shanghai, China.
Juan PengShanghai Institute of Cardiovascular Diseases, Zhongshan Hospital and Institutes of Biomedical Science, Fudan University, Shanghai, China.
Xin DengShanghai Institute of Cardiovascular Diseases, Zhongshan Hospital and Institutes of Biomedical Science, Fudan University, Shanghai, China.
Yi ShenDepartment of Geriatrics, Zhongshan Hospital, Fudan University, Shanghai, China.
Chunjie YangShanghai Institute of Cardiovascular Diseases, Zhongshan Hospital and Institutes of Biomedical Science, Fudan University, Shanghai, China.
Jie YuanShanghai Institute of Cardiovascular Diseases, Zhongshan Hospital and Institutes of Biomedical Science, Fudan University, Shanghai, China zou.yunzeng@zs-hospital.sh.cn yuanjie@zs-hospital.sh.cn.
Yunzeng ZouShanghai Institute of Cardiovascular Diseases, Zhongshan Hospital and Institutes of Biomedical Science, Fudan University, Shanghai, China zou.yunzeng@zs-hospital.sh.cn yuanjie@zs-hospital.sh.cn.
Sun Yat-sen University · CNZhongshan Hospital · CNThe First Affiliated Hospital, Sun Yat-sen University · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few studies have compared the performances of those reported miRNAs as biomarkers for hypertension in a same cohort, we aimed to comprehensively examine the performances of those reported miRNAs as biomarkers for hypertension and identify the genes and pathways targetted by these miRNAs. Serum samples were collected from patients hospitalized for hypertension in Zhongshan Hospital. Gene expressions of 25 miRNAs were compared between hypertension and normal groups. Receiver operating characteristic (ROC) curves were used to evaluate the accuracy of those miRNAs as biomarkers for hypertension. miRWALK2.0 and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed to predict the target genes and pathways of selected miRNAs. A total of 164 participants were enrolled, amongst which 53 were patients with hypertension, 111 were normal population.

Indexed as

Gene Expression ProfilingAdultAgedBiomarkersComputational BiologyFemaleHumansHypertensionMaleMicroRNAsMiddle AgedBiomarkersMicroRNAsbiomarkershypertensionKEGG analysis

Identifiers

PMID29961674
PMCPMC6147777
OpenAlexW2809996551

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.