Evidence map›Paper›PMID 29108337›Full record

ArticleOncotarget2017

Elevated hemoglobin glycation index identify non-diabetic individuals at increased risk of kidney dysfunction.

Teresa Vanessa Fiorentino, Maria Adelaide Marini, Elena Succurro, Angela Sciacqua, Francesco Andreozzi, Francesco Perticone, Giorgio Sesti

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
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  4. Observational
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  8. Association Between Hemoglobin Glycation Index and Metabolic Syndrome in Middle-Aged and Older People.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Standardizing the haemoglobin glycation index.Endocrinology, diabetes & metabolism · 2021
    Article
  14. Article
  15. 3'-Molecules (Basel, Switzerland) · 2019
    Article
  16. 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

7 authors at 2 institutions in 1 country.

Teresa Vanessa FiorentinoDepartment of Medical and Surgical Sciences, Viale Europa, University Magna Græcia of Catanzaro, 88100 Catanzaro, Italy.
Maria Adelaide MariniDepartment of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Elena SuccurroDepartment of Medical and Surgical Sciences, Viale Europa, University Magna Græcia of Catanzaro, 88100 Catanzaro, Italy.
Angela SciacquaDepartment of Medical and Surgical Sciences, Viale Europa, University Magna Græcia of Catanzaro, 88100 Catanzaro, Italy.
Francesco AndreozziDepartment of Medical and Surgical Sciences, Viale Europa, University Magna Græcia of Catanzaro, 88100 Catanzaro, Italy.
Francesco PerticoneDepartment of Medical and Surgical Sciences, Viale Europa, University Magna Græcia of Catanzaro, 88100 Catanzaro, Italy.
Giorgio SestiDepartment of Medical and Surgical Sciences, Viale Europa, University Magna Græcia of Catanzaro, 88100 Catanzaro, Italy.
Magna Graecia University · ITUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemoglobin glycation index (HGI), calculated as the difference between the observed value of HbA1 and the predicted HbA1c based on plasma glucose concentration, is a measure of the individual tendency toward non-enzymatic hemoglobin glycation which has been found to be positively associated with nephropathy in subjects with diabetes. In this cross-sectional study we aimed to evaluate whether higher HGI levels are associated with impaired kidney function also among nondiabetic individuals. The study group comprised 1505 White nondiabetic individuals stratified in quartiles according to HGI levels. Estimated glomerular filtration rate (eGFR) was calculated by using the MDRD equation. Individuals in the intermediate and high HGI groups exhibited a worse metabolic phenotype with increased levels of visceral obesity, total cholesterol, triglycerides, inflammatory biomarkers such as hsCRP and white blood cells count and lower values of HDL and insulin sensitivity assessed by Matsuda index in comparison to the lowest quartile of HGI. Subjects in the intermediate and high HGI groups displayed a graded decrease of eGFR levels in comparison with the lowest quartile of HGI. In a logistic regression analysis individuals in the highest quartile of HGI exhibited a significantly 3.6-fold increased risk of having chronic kidney disease (95% CI: 1.13-11.24,

Indexed as

chronic kidney diseasehemoglobin glycation indexkidney dysfunctionnon-enzymatic protein glycation

Identifiers

PMID29108337
PMCPMC5668070
OpenAlexW2647264617

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.