Evidence map›Paper›PMID 25979978›Full record

Observational studyClinical journal of the American Society of Nephrology : CJASN2015

Glycated Hemoglobin Level and Mortality in a Nondiabetic Population with CKD.

Claire Trivin, Marie Metzger, Jean-Philippe Haymann, Jean-Jacques Boffa, Martin Flamant, François Vrtovsnik, Pascal Houillier, Benedicte Stengel, Eric Thervet, NephroTest Study Group

Abstract readObservational Study
In one paragraph

Observational study 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. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The joint association of self-rated health and diabetes status on 14-year mortality in elderly men and women.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    Article
  9. Article
  10. Article
  11. Should Hemoglobin A1C Be Routinely Measured in Patients with CKD?Clinical journal of the American Society of Nephrology : CJASN · 2015
    Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Claire TrivinDue to the number of contributing authors,the affiliations are provided in the Supplemental Material. trivinclaire@hotmail.com.
Marie MetzgerDue to the number of contributing authors,the affiliations are provided in the Supplemental Material.
Jean-Philippe HaymannDue to the number of contributing authors,the affiliations are provided in the Supplemental Material.
Jean-Jacques BoffaDue to the number of contributing authors,the affiliations are provided in the Supplemental Material.
Martin FlamantDue to the number of contributing authors,the affiliations are provided in the Supplemental Material.
François VrtovsnikDue to the number of contributing authors,the affiliations are provided in the Supplemental Material.
Pascal HouillierDue to the number of contributing authors,the affiliations are provided in the Supplemental Material.
Benedicte StengelDue to the number of contributing authors,the affiliations are provided in the Supplemental Material.
Eric ThervetDue to the number of contributing authors,the affiliations are provided in the Supplemental Material.
NephroTest Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesGlycated hemoglobin (HbA1c) is used to diagnose diabetes mellitus (DM) and guide its management. The association between higher HbA1c and progression to ESRD and mortality has been demonstrated in populations with DM. This study examined the association between HbA1c and these end points in a population with CKD and without DM. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: In the hospital-based NephroTest cohort study, measured GFR (mGFR) was taken by (51)Cr-EDTA renal clearance and HbA1c in 1165 adults with nondialysis CKD stages 1-5 and without DM between January 2000 and December 2010. The median follow-up was 3.48 years (interquartile range, 1.94-5.82) for the competing events of ESRD and pre-ESRD mortality. Time-fixed and time-dependent Cox models were used to estimate hazard ratios (HRs) for ESRD and mortality according to HbA1c, treated continuously or in tertiles.

resultsAt inclusion, the mean mGFR was 42.2±19.9 ml/min per 1.73 m(2), and the mean HbA1c value was 5.5%±0.5%. During follow-up, 109 patients died, and 162 patients reached ESRD. Pre-ESRD mortality was significantly associated with HbA1c treated continuously: for every 1% higher HbA1c, the crude HR was 2.16 (95% confidence interval [95% CI], 1.27 to 3.68), and it was 1.85 (95% CI, 1.05 to 3.24) after adjustment for mGFR and other risk factors of death. After excluding incident diabetes over time, the updated mean of HbA1c remained significantly associated with higher mortality risk: adjusted HR for the highest (5.7%-6.4%) versus the lowest tertile (<5.3%) was 2.62 (95% CI, 1.16 to 5.91). There was no association with ESRD risk after adjustment for risk factors of CKD progression.

conclusionsIn a CKD cohort, HbA1c values in the prediabetes range are associated with mortality. Such values should be therefore included among the risk factors for negative outcomes in CKD populations.

Indexed as

AdultAgedBiomarkersChi-Square DistributionDisease ProgressionFemaleGlomerular Filtration RateGlycated HemoglobinHumansKaplan-Meier EstimateKidneyMaleMiddle AgedPredictive Value of TestsPrognosisProportional Hazards ModelsBiomarkersGlycated Hemoglobinhemoglobin A1c protein, humanchronic kidney diseaseglycationmortality risk

Identifiers

PMID25979978
PMCPMC4455212

What OpenQuestion holds

Textmetadata
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.