Evidence map›Paper›PMID 27321055›Full record

ArticleUpsala journal of medical sciences2016

Associations between urinary kidney injury biomarkers and cardiovascular mortality risk in elderly men with diabetes.

Aleksandra Tonkonogi, Axel C Carlsson, Johanna Helmersson-Karlqvist, Anders Larsson, Johan Ärnlöv

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In one paragraph

Article in Upsala journal of medical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

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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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Novel Cardiovascular Risk Factors in Patients with Diabetic Kidney Disease.International journal of molecular sciences · 2021
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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

5 authors at 1 institution in 1 country.

Aleksandra Tonkonogia Department of Medical Sciences , Cardiovascular Epidemiology, Uppsala University , Uppsala , Sweden ;
Axel C Carlssona Department of Medical Sciences , Cardiovascular Epidemiology, Uppsala University , Uppsala , Sweden ;
Johanna Helmersson-Karlqvistc Department of Medical Sciences, Biochemical Structure and Function , Uppsala University , Uppsala , Sweden ;
Anders Larssonc Department of Medical Sciences, Biochemical Structure and Function , Uppsala University , Uppsala , Sweden ;
Johan Ärnlöva Department of Medical Sciences , Cardiovascular Epidemiology, Uppsala University , Uppsala , Sweden ;
Uppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThree urinary biomarkers, kidney injury molecule-1 (KIM-1), neutrophil gelatinase-associated lipocalin (NGAL), and cystatin C, have been suggested as clinically relevant highly specific biomarkers of acute kidney tubular damage. Yet, the utility of these biomarkers in the prognostication of diabetic nephropathy has been less studied. Therefore, we aimed to investigate the longitudinal association between these urinary biomarkers and cardiovascular mortality in patients with diabetes.

methodsThe study sample consisted of participants with diabetes in the community-based Uppsala Longitudinal Study of Adult Men (n = 91; mean age 77.8 years). During follow-up (median 8.3 years, interval 0.7-13.4 years), 33 participants died of cardiovascular causes.

resultsIn a multivariable Cox regression model adjusting for age, glomerular filtration rate, and urinary albumin/creatinine ratio, higher urinary KIM-1/creatinine was associated with an increased risk for cardiovascular mortality (HR per SD increase 1.51, 95% confidence intervals 1.03-2.24, P = 0.03). Neither urinary NGAL/creatinine nor urinary cystatin C/creatinine were independently associated with an increased cardiovascular mortality risk.

conclusionIn elderly men with diabetes, higher urinary KIM-1/creatinine was associated with an increased long-term risk of cardiovascular mortality independently of established markers of diabetic nephropathy. Our data provide support for kidney tubular damage as an important aspect of diabetic nephropathy that merits further investigation.

Indexed as

Acute Kidney InjuryAgedBiomarkersCardiovascular DiseasesCystatin CDiabetes ComplicationsDiabetes MellitusDiabetic NephropathiesHepatitis A Virus Cellular Receptor 1HumansKidney TubulesLipocalin-2Longitudinal StudiesMalePrognosisProportional Hazards ModelsBiomarkersCystatin CHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1LCN2 protein, humanLipocalin-2BiomarkersdiabetesepidemiologykidneyKIM-1

Identifiers

PMID27321055
PMCPMC4967263
OpenAlexW2469418077

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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.