Evidence map›Paper›PMID 30354825›Full record

ReviewHypertension (Dallas, Tex. : 1979)2018

Noncoding RNAs in the Regulatory Network of Hypertension.

Gengze Wu, Pedro A Jose, Chunyu Zeng

Abstract readReview
In one paragraph

Review in Hypertension (Dallas, Tex. : 1979), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. microRNA and Hypertension.Hypertension (Dallas, Tex. : 1979) · 2025
    Review
  5. Article
  6. Article
  7. The hypertension-based chronic disease model in a primary care setting.International journal of cardiology. Cardiovascular risk and prevention · 2023
    Article
  8. Review
  9. Article
  10. Genetic Deletion of theNon-coding RNA · 2023
    Article
  11. MicroRNA-195a-5p Regulates Blood Pressure by Inhibiting NKCC2A.Hypertension (Dallas, Tex. : 1979) · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Role of long non-coding RNAs in adipogenesis: State of the art and implications in obesity and obesity-associated diseases.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Gengze WuFrom the Department of Cardiology, Daping Hospital, The Third Military Medical University, Chongqing, P.R. China (G.W., C.Z.).
Pedro A JoseDivision of Renal Disease and Hypertension, Departments of Medicine and Pharmacology/Physiology, The George Washington University School of Medicine and Health Sciences, Washington, DC (P.A.J.).
Chunyu ZengFrom the Department of Cardiology, Daping Hospital, The Third Military Medical University, Chongqing, P.R. China (G.W., C.Z.).

Funding

Spatiotemporal transregulation of D1-like angiotensin receptors in genetically...P01HL074940 · NHLBI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI GILDEA, JOHN JOSEPH · 2004 to 2020
$31.8M
RENAL DOPAMINE-1 RECEPTOR DEFECT IN HYPERTENSIONR01DK039308 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI JOSE, PEDRO A. · 1987 to 2020
$7.4M
Renal Dopamine Receptor & RegulationR37HL023081 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI JOSE, PEDRO A. · 2007 to 2016
$4.3M
RENAL DOPAMINE RECEPTOR REGULATION AND FUNCTIONR01HL023081 · NHLBI · GEORGETOWN UNIVERSITY · PI JOSE, PEDRO A. · 1985 to 2006
$2.4M
NHLBI NIH HHS P01 HL074940NHLBI NIH HHS R01 HL023081NHLBI NIH HHS R37 HL023081NIDDK NIH HHS R01 DK039308
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Gene Regulatory NetworksRNA, UntranslatedHumansHypertensionRNA, Untranslated

Identifiers

PMID30354825
PMCPMC6208146

What OpenQuestion holds

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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.