Evidence map›Paper›PMID 23514730›Full record

Trial reportDiabetes care2013

Baseline markers of inflammation are associated with progression to macroalbuminuria in type 1 diabetic subjects.

Maria F Lopes-Virella, Nathaniel L Baker, Kelly J Hunt, Patricia A Cleary, Richard Klein, Gabriel Virella, DCCT/EDIC Research Group

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 4 pooled it
6.5field-weighted citation impact, top 3% 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

45 citing papers in PubMed, 4 syntheses or guidelines pooled it, 85 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Glucose targets for preventing diabetic kidney disease and its progression.The Cochrane database of systematic reviews · 2017
    Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Review
  8. Article
  9. Article
  10. A Role for Advanced Glycation End Products in Molecular Ageing.International journal of molecular sciences · 2023
    Review
  11. Review
  12. Article
  13. Molecular Mechanisms of Diabetic Kidney Disease.International journal of molecular sciences · 2022
    Review
  14. Observational
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Maria F Lopes-VirellaDepartment of Medicine and Laboratory Services, Medical University of South Carolina and Ralph H Johnson VA Medical Center, Charleston, South Carolina, USA. virellam@musc.edu
Nathaniel L Baker
Kelly J Hunt
Patricia A Cleary
Richard Klein
Gabriel Virella
DCCT/EDIC Research Group
Medical University of South Carolina · USRalph H. Johnson VA Medical Center · US

Funding

UNM HSC Clinical and Translational Science CenterUL1TR001449 · NCATS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CAMPEN, MATTHEW J, PANDHI, NANCY · 2015 to 2024
$36.9M
University of New Mexico Clinical and Translational Science CenterUL1TR000041 · NCATS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI LARSON, RICHARD S · 2012 to 2014
$9.8M
Biomarkers of Vascular Disease Progression in Type 1 Diabetes MellitusR01DK081352 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI LOPES-VIRELLA, MARIA F · 2008 to 2011
$2.2M
NCATS NIH HHS UL1 TR000041NCATS NIH HHS UL1 TR001449NIDDK NIH HHS R01 DK081352NIDDK NIH HHS R01-DK-081352
6 · The paper itself

Abstract

objectiveThe current study aimed to determine in the Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications cohort whether or not abnormal levels of markers of inflammation and endothelial dysfunction measured in samples collected at DCCT baseline were able to predict the development of macroalbuminuria. RESEARCH DESIGN AND

methodsLevels of inflammation and endothelial cell dysfunction biomarkers were measured in 1,237 of 1,441 patients enrolled in the DCCT study who were both free of albuminuria and cardiovascular disease at baseline. To test the association of log-transformed biomarkers with albuminuria, generalized logistic regression models were used to quantify the association of increased levels of biomarkers and development of abnormal albuminuria. Normal, micro-, and macroalbuminuria were the outcomes of interest.

resultsIn the logistic regression models adjusted by DCCT treatment assignment, baseline albumin excretion rate, and use of ACE/angiotensin receptor blocker drugs, one unit increase in the standardized levels of soluble E-selectin (sE-selectin) was associated with an 87% increase in the odds to develop macroalbuminuria and one unit increase in the levels of interleukin-6 (IL-6), plasminogen activator inhibitor 1 (PAI-1; total and active), and soluble tumor necrosis factor receptors (TNFR)-1 and -2 lead to a 30-50% increase in the odds to develop macroalbuminuria. Following adjustment for DCCT baseline retinopathy status, age, sex, HbA1c, and duration of diabetes, significant associations remained for sE-selectin and TNFR-1 and -2 but not for IL-6 or PAI-1.

conclusionsOur study indicates that high levels of inflammatory markers, mainly E-selectin and sTNRF-1 and -2, are important predictors of macroalbuminuria in patients with type 1 diabetes.

Indexed as

AdolescentAdultAlbuminuriaBiomarkersDiabetes Mellitus, Type 1E-SelectinFemaleHumansInflammationInterleukin-6MalePlasminogen Activator Inhibitor 1Receptors, Tumor Necrosis Factor, Type IReceptors, Tumor Necrosis Factor, Type IIBiomarkersE-SelectinInterleukin-6Plasminogen Activator Inhibitor 1Receptors, Tumor Necrosis Factor, Type IReceptors, Tumor Necrosis Factor, Type II

Identifiers

PMID23514730
PMCPMC3714479
OpenAlexW2082001761

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.