Evidence map›Paper›PMID 27884236›Full record

ReviewThe Medical clinics of North America2017

Renal Arterial Disease and Hypertension.

Stephen C Textor

Abstract readReview
In one paragraph

Review in The Medical clinics of North America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 64 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Renovascular Disease and Mitochondrial Dysfunction in Human Mesenchymal Stem Cells.Journal of the American Society of Nephrology : JASN · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Hepatorenal bypass resulting in dialysis independence in case of acute renal failure.Journal of vascular surgery cases and innovative techniques · 2021
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. [Austrian Consensus on High Blood Pressure 2019].Wiener klinische Wochenschrift · 2019
    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

1 author at 1 institution in 1 country.

Stephen C TextorDivision of Nephrology and Hypertension, Mayo Clinic, 200 1st Street, Rochester, MN 55905, USA. Electronic address: textor.stephen@mayo.edu.
Mayo Clinic · US

Funding

Hypoxia and inflammatory injury in human renovascular hypertensionR01DK100081 · NIDDK · MAYO CLINIC ROCHESTER · PI LERMAN, LILACH O, TEXTOR, STEPHEN C · 2014 to 2018
$2.8M
NIDDK NIH HHS R01 DK100081
6 · The paper itself

Abstract

Renal artery disease produces a spectrum of progressive clinical manifestations ranging from minor degrees of hypertension to circulatory congestion and kidney failure. Moderate reductions in renal blood flow do not induce tissue hypoxia or damage, making medical therapy for renovascular hypertension feasible. Several prospective trials indicate that optimized medical therapy using agents that block the renin-angiotensin system should be the initial management. Evidence of progressive disease and/or treatment failure should allow recognition of high-risk subsets that benefit from renal revascularization. Severe reductions in kidney blood flow ultimately activate inflammatory pathways that do not reverse with restoring blood flow alone.

Indexed as

AngioplastyAntihypertensive AgentsHumansHypertensionRenal Artery ObstructionRenin-Angiotensin SystemStentsAntihypertensive AgentsAngiotensinHypertensionIschemic nephropathyKidneyRenal artery stenosisRenovascular

Identifiers

PMID27884236
PMCPMC5172461
OpenAlexW2551303799

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.