Evidence map›Paper›PMID 25901093›Full record

Trial reportClinical journal of the American Society of Nephrology : CJASN2015

Rate of change in renal function and mortality in elderly treated hypertensive patients.

Enayet K Chowdhury, Robyn G Langham, Zanfina Ademi, Alice Owen, Henry Krum, Lindon M H Wing, Mark R Nelson, Christopher M Reid, Second Australian National Blood Pressure Study Management Committee

2 registry-linked trialsOpen access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Clinical journal of the American Society of Nephrology : CJASN, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 19% 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.

NCT04264403 nacompletednot on this mapstarted 2020, after this paper: background citation

Effect of Renal Denervation on Blood Pressure in Patients With Chronic Kidney Disease and Uncontrolled Hypertension

TypeinterventionalSponsorUniversity of Erlangen-Nürnberg Medical SchoolRan2020 to 2024Enrolled44ConditionsUncontrolled Hypertension, Renal Denervation, Chronic Kidney Disease stage3ArmsRenal denervation
NCT07742787 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

Effect of Renal Denervation on Blood Pressure in Patients With Chronic Kidney Disease and Uncontrolled Hypertension

TypeinterventionalSponsorHippocration General HospitalRan2024 to 2027Enrolled20ConditionsUncontrolled Hypertension, Renal Denervation, Chronic Kidney Disease (Stage 3)ArmsRenal denervation, Sham procedure control
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pharmacotherapy for mild hypertension.The Cochrane database of systematic reviews · 2025
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Ultra-long-term efficacy and safety of catheter-based renal denervation in resistant hypertension: 10-year follow-up outcomes.Clinical research in cardiology : official journal of the German Cardiac Society · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Chronic kidney disease progression in aged patients.International urology and nephrology · 2021
    Article
  11. MALAT1: a therapeutic candidate for a broad spectrum of vascular and cardiorenal complications.Hypertension research : official journal of the Japanese Society of Hypertension · 2020
    Review
  12. Article
  13. Review
  14. 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

9 authors at 5 institutions in 2 countries.

Enayet K ChowdhuryCentre of Cardiovascular Research and Education in Therapeutics, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; enayet.chowdhury@monash.edu.
Robyn G LanghamDepartment of Nephrology and University of Melbourne Department of Medicine, St. Vincent's Hospital, Melbourne, Victoria, Australia;
Zanfina AdemiCentre of Cardiovascular Research and Education in Therapeutics, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Melbourne EpiCentre, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia;
Alice OwenCentre of Cardiovascular Research and Education in Therapeutics, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia;
Henry KrumCentre of Cardiovascular Research and Education in Therapeutics, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia;
Lindon M H WingSchool of Medicine, Flinders University, Adelaide, South Australia, Australia; and.
Mark R NelsonMenzies Research Institute Tasmania, University of Tasmania, Hobart, Tasmania, Australia.
Christopher M ReidCentre of Cardiovascular Research and Education in Therapeutics, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia;
Second Australian National Blood Pressure Study Management Committee
Monash University · AUFlinders University · AUSt. Vincent's Birmingham · USUniversity of Melbourne · AUUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesEvidence relating the rate of change in renal function, measured as eGFR, after antihypertensive treatment in elderly patients to clinical outcome is sparse. This study characterized the rate of change in eGFR after commencement of antihypertensive treatment in an elderly population, the factors associated with eGFR rate change, and the rate's association with all-cause and cardiovascular mortality. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Data from the Second Australian National Blood Pressure study were used, where 6083 hypertensive participants aged ≥65 years were enrolled during 1995-1997 and followed for a median of 4.1 years (in-trial). Following the Second Australian National Blood Pressure study, participants were followed-up for a further median 6.9 years (post-trial). The annual rate of change in the eGFR was calculated in 4940 participants using creatinine measurements during the in-trial period and classified into quintiles (Q) on the basis of the following eGFR changes: rapid decline (Q1), decline (Q2), stable (Q3), increase (Q4), and rapid increase (Q5).

resultsA rapid decline in eGFR in comparison with those with stable eGFRs during the in-trial period was associated with older age, living in a rural area, wider pulse pressure at baseline, receiving diuretic-based therapy, taking multiple antihypertensive drugs, and having blood pressure <140/90 mmHg during the study. However, a rapid increase in eGFR was observed in younger women and those with a higher cholesterol level. After adjustment for baseline and in-trial covariates, Cox-proportional hazard models showed a significantly greater risk for both all-cause (hazard ratio, 1.28; 95% confidence interval, 1.09 to 1.52; P=0.003) and cardiovascular (hazard ratio, 1.40; 95% confidence interval, 1.11 to 1.76; P=0.004) mortality in the rapid decline group compared with the stable group over a median of 7.2 years after the last eGFR measure. No significant association with mortality was observed for a rapid increase in eGFR.

conclusionsIn elderly persons with treated hypertension, a rapid decline in eGFR is associated with a higher risk of mortality.

Indexed as

AgedAged, 80 and overAge FactorsAntihypertensive AgentsAustraliaBiomarkersBlood PressureCreatinineFemaleGlomerular Filtration RateHumansHypertensionKidneyLogistic ModelsMaleOdds RatioAntihypertensive AgentsBiomarkersCreatinineelderlyglomerular filtration ratehypertensionsurvival

Identifiers

PMID25901093
PMCPMC4491290
OpenAlexW2012528136

What OpenQuestion holds

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Registered trials

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.