Evidence map›Paper›PMID 26769233›Full record

ArticleJAMA2016

Ushering Hypertension Into a New Era of Precision Medicine.

Theodore A Kotchen, Allen W Cowley, Mingyu Liang

Abstract read
In one paragraph

Article in JAMA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Trial
  2. Special Issue: Recent Research on Hypertension and Related Complications.International journal of molecular sciences · 2026
    Article
  3. Review
  4. Article
  5. Gene editing of angiotensin for blood pressure management.International journal of cardiology. Cardiovascular risk and prevention · 2024
    Article
  6. Circulating microRNA Biomarkers of Thiazide Response in Hypertension.Journal of the American Heart Association · 2024
    Article
  7. Review
  8. Broad-acting therapeutic effects of miR-29b-chitosan on hypertension and diabetic complications.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Renal metabolism and hypertension.Nature communications · 2021
    Review
  15. Review
  16. Human Cell Modeling for Cardiovascular Diseases.International journal of molecular sciences · 2020
    Review
  17. Insufficient fumarase contributes to hypertension by an imbalance of redox metabolism in Dahl salt-sensitive rats.Hypertension research : official journal of the Japanese Society of Hypertension · 2019
    Article
  18. Article
  19. Article
  20. Epigenetic Mechanisms and Hypertension.Hypertension (Dallas, Tex. : 1979) · 2018
    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

3 authors.

Theodore A KotchenDepartment of Medicine, Medical College of Wisconsin, Milwaukee.
Allen W CowleyCenter of Systems Molecular Medicine, Department of Physiology, Medical College of Wisconsin, Milwaukee.
Mingyu LiangCenter of Systems Molecular Medicine, Department of Physiology, Medical College of Wisconsin, Milwaukee.

Funding

Clinical and Translational Science AwardUL1TR001436 · NCATS · MEDICAL COLLEGE OF WISCONSIN · PI FREED, JULIE K · 2015 to 2025
$47.5M
Research ServicesP01HL082798 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI GREENE, ANDREW S. · 2006 to 2015
$22.0M
NCATS NIH HHS UL1 TR001436NCATS NIH HHS UL1TR001436NHLBI NIH HHS HL-082798NHLBI NIH HHS P01 HL082798
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

EpigenomicsAntihypertensive AgentsHumansHypertensionMolecular Targeted TherapyPrecision MedicineAntihypertensive Agents

Identifiers

PMID26769233
PMCPMC5238956

What OpenQuestion holds

Textmetadata
LicenceTDM
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.