Evidence map›Paper›PMID 30663195›Full record

Trial reportNephrology (Carlton, Vic.)2019

Prevalence of chronic kidney disease in the elderly using the ASPirin in Reducing Events in the Elderly study cohort.

Kevan R Polkinghorne, Rory Wolfe, Kim M Jachno, James B Wetmore, Robyn L Woods, John J McNeil, Mark R Nelson, Christopher M Reid, Anne M Murray, ASPREE Investigator Group

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Nephrology (Carlton, Vic.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Observational
  7. Molecular Mechanisms Associated with Aging Kidneys and Future Perspectives.International journal of molecular sciences · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

10 authors at 3 institutions in 2 countries.

Kevan R PolkinghorneDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Rory WolfeDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Kim M JachnoDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
James B WetmoreDepartment of Medicine, Hennepin Healthcare Systems, Minneapolis, Minnesota, USA.
Robyn L WoodsDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
John J McNeilDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Mark R NelsonMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
Christopher M ReidDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Anne M MurrayDepartment of Medicine, Hennepin Healthcare Systems, Minneapolis, Minnesota, USA.
ASPREE Investigator Group
Monash University · AUHennepin Healthcare Research Institute · USUniversity of Tasmania · AU

Funding

ASPirin in Reducing Events in the ElderlyU01AG029824 · NIA · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · PI MCNEIL, JOHN JAMES, MURRAY, ANNE M · 2009 to 2018
$64.6M
Main Administrative CoreU19AG062682 · NIA · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · PI MURRAY, ANNE M · 2019 to 2023
$42.9M
UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
San Antonio OAIC - Research Education Component (REC)P30AG044271 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Adam Salmon, Elena Volpi · 2015 to 2026
$14.1M
Monash University (Australia)National Health and Medical Research Council of Australia 334 047, 1 127 060National Institute on Aging and the National Cancer Institute at the National Institutes of Health U01AG029824NIA NIH HHS P30 AG024832NIA NIH HHS P30 AG044271NIA NIH HHS U01 AG029824NIA NIH HHS U19 AG062682Victorian Cancer Agency (Australia)
6 · The paper itself

Abstract

aimThe prevalence of chronic kidney disease (CKD) in the elderly is controversial because age-related decline in kidney function may not truly reflect underlying kidney disease. We estimate the baseline prevalence and predictors of CKD using the CKD Epidemiology Collaboration (CKD-EPI

methodsGFR was estimated using CKD-EPI and BIS1 equations. CKD was defined as eGFR <60 mL/min/1.73 m

resultsData for analysis were complete for 17,762 participants. Mean age was 75.1 years (SD 5); 56.4% were female, 76.4% had hypertension, 9% had diabetes mellitus. Mean CKD-EPI

conclusionsPrevalence of CKD with CKD-EPI

Indexed as

Kidney Function TestsRenal Insufficiency, ChronicAgedAgingAspirinBody Mass IndexCross-Sectional StudiesDiabetes MellitusFemaleHumansHypertensionMalePlatelet Aggregation InhibitorsPrevalenceRisk FactorsAspirinPlatelet Aggregation Inhibitorsalbuminuriachronic kidney diseaseelderlyestimated glomerular filtration rateprevalence

Identifiers

PMID30663195
PMCPMC6812602
OpenAlexW2914936436

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.