Evidence map›Paper›PMID 24216124›Full record

Trial reportThe American journal of cardiology2014

Influence of age-related versus non-age-related renal dysfunction on survival in patients with left ventricular dysfunction.

Jeffrey M Testani, Meredith A Brisco, Gang Han, Olga Laur, Alexander J Kula, Susan J Cheng, Wai Hong Wilson Tang, Chirag R Parikh

Open access · bronzeAbstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in The American journal of cardiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. [Renal replacement therapy in the elderly].Zeitschrift fur Gerontologie und Geriatrie · 2016
    Review
  4. Article
  5. Effect of renal function on prognosis in chronic heart failure.The American journal of cardiology · 2015
    Observational
  6. Novel renal biomarkers to assess cardiorenal syndrome.Current heart failure reports · 2014
    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

8 authors at 3 institutions in 1 country.

Jeffrey M TestaniDepartment of Internal Medicine, Yale University, New Haven, Connecticut; Program of Applied Translational Research, Yale University, New Haven, Connecticut. Electronic address: Jeffrey.testani@yale.edu.
Meredith A BriscoCardiology Division, Department of Medicine, Medical University of South Carolina, Charleston, South Carolina.
Gang HanProgram of Applied Translational Research, Yale University, New Haven, Connecticut.
Olga LaurDepartment of Internal Medicine, Yale University, New Haven, Connecticut; Program of Applied Translational Research, Yale University, New Haven, Connecticut.
Alexander J KulaDepartment of Internal Medicine, Yale University, New Haven, Connecticut; Program of Applied Translational Research, Yale University, New Haven, Connecticut.
Susan J ChengDepartment of Internal Medicine, Yale University, New Haven, Connecticut; Program of Applied Translational Research, Yale University, New Haven, Connecticut.
Wai Hong Wilson TangSection of Heart Failure and Cardiac Transplantation, The Cleveland Clinic, Cleveland, Ohio.
Chirag R ParikhDepartment of Internal Medicine, Yale University, New Haven, Connecticut; Program of Applied Translational Research, Yale University, New Haven, Connecticut; Veterans Affairs Health Care System, West Haven, Connecticut.
Yale University · USCleveland Clinic · USMedical University of South Carolina · US

Funding

Cardiology & pulmonary research training grantT32HL007891 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Jason D Christie · 1998 to 2026
$12.0M
Mentoring Program for Translational and Patient Oriented Research in AKIK24DK090203 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2012 to 2016
$896k
Cardio-renal phenotype and prognosis in chronic heart failureK23HL114868 · NHLBI · YALE UNIVERSITY · PI TESTANI, JEFFREY M · 2012 to 2017
$845k
NHLBI NIH HHS K23 HL114868NHLBI NIH HHS L30 HL115790NHLBI NIH HHS T32 HL007891NIDDK NIH HHS K24 DK090203
6 · The paper itself

Abstract

Normal aging results in a predictable decrease in glomerular filtration rate (GFR), and low GFR is associated with worsened survival. If this survival disadvantage is directly caused by the low GFR, as opposed to the disease causing the low GFR, the risk should be similar regardless of the underlying mechanism. Our objective was to determine if age-related decreases in estimated GFR (eGFR) carry the same prognostic importance as disease-attributable losses in patients with ventricular dysfunction. We analyzed the Studies Of Left Ventricular Dysfunction limited data set (n = 6,337). The primary analysis focused on determining if the eGFR-mortality relation differed by the extent to which the eGFR was consistent with normal aging. Mean eGFR was 65.7 ml/min/1.73 m(2) (SD = 19.0). Across the range of age in the population (27 to 80 years), baseline eGFR decreased by 0.67 ml/min/1.73 m(2)/year (95% confidence interval [CI] 0.63 to 0.71). The risk of death associated with eGFR was strongly modified by the degree to which the low eGFR could be explained by aging (p for interaction <0.0001). For example, in a model incorporating the interaction, uncorrected eGFR was no longer significantly related to mortality (adjusted hazard ratio 1.0 per 10 ml/min/1.73 m(2), 95% CI 0.97 to 1.1, p = 0.53), whereas a disease-attributable decrease in eGFR above the median carried significant risk (adjusted hazard ratio 2.8, 95% CI 1.6 to 4.7, p <0.001). In conclusion, in the setting of left ventricular dysfunction, renal dysfunction attributable to normal aging had a limited risk for mortality, suggesting that the mechanism underlying renal dysfunction is critical in determining prognosis.

Indexed as

AgingAdultAgedAged, 80 and overCreatinineDouble-Blind MethodFemaleFollow-Up StudiesGlomerular Filtration RateHumansMaleMiddle AgedPrognosisProspective StudiesRenal InsufficiencyRisk FactorsCreatinine

Identifiers

PMID24216124
PMCPMC3915785
OpenAlexW2088399453

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.