Evidence map›Paper›PMID 25937839›Full record

ArticleDiabetology & metabolic syndrome2014

Insulin resistance and associated factors in patients with Type 1 Diabetes.

Mônica Maria Teixeira, Maria de Fátima Haueisen Sander Diniz, Janice Sepúlveda Reis, Teresa Cristina Abreu Ferrari, Maria Goretti Bravim de Castro, Bruna Polonio Teixeira, Isabella Cristina da Silva Arantes, Danielle Marques Bicalho, Rodrigo Bastos Fóscolo

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
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  7. Article
  8. Article
  9. Article
  10. Review
  11. Acanthosis Nigricans: Pointer of Endocrine Entities.Diagnostics (Basel, Switzerland) · 2022
    Review
  12. Article
  13. The Causes of Insulin Resistance in Type 1 Diabetes Mellitus: Is There a Place for Quaternary Prevention?International journal of environmental research and public health · 2020
    Review
  14. Observational
  15. Article
  16. Article
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  18. 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

9 authors at 2 institutions in 1 country.

Mônica Maria TeixeiraFederal University of Minas Gerais UFMG, Rua Padre Rolim 769, sala 802. Bairro São Lucas, Belo Horizonte, Minas Gerais Brazil.
Maria de Fátima Haueisen Sander DinizDepartment of Internal Medicine, UFMG, Belo Horizonte, Minas Gerais Brazil.
Janice Sepúlveda ReisEndocrinology Service, Santa Casa of Belo Horizonte, Belo Horizonte, Minas Gerais Brazil.
Teresa Cristina Abreu FerrariDepartment of Internal Medicine, UFMG, Belo Horizonte, Minas Gerais Brazil.
Maria Goretti Bravim de CastroCentre for Studies in Densitometry, Belo Horizonte, Minas Gerais Brazil.
Bruna Polonio TeixeiraFederal University of Minas Gerais UFMG, Rua Padre Rolim 769, sala 802. Bairro São Lucas, Belo Horizonte, Minas Gerais Brazil.
Isabella Cristina da Silva ArantesFederal University of Minas Gerais UFMG, Rua Padre Rolim 769, sala 802. Bairro São Lucas, Belo Horizonte, Minas Gerais Brazil.
Danielle Marques BicalhoFederal University of Minas Gerais UFMG, Rua Padre Rolim 769, sala 802. Bairro São Lucas, Belo Horizonte, Minas Gerais Brazil.
Rodrigo Bastos FóscoloDepartment of Internal Medicine, UFMG, Belo Horizonte, Minas Gerais Brazil.
Universidade Federal de Minas Gerais · BRGrupo Santa Casa de Belo Horizonte · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the presence of insulin resistance (IR) in patients with type 1 diabetes (T1DM) according to the estimated glucose disposal rate formula (eGDR) and the insulin sensitivity score (ISS) and to estimate the correlation between these two measures and identify the clinical and laboratory markers related to IR. RESEARCH DESIGN AND

methodsCross-sectional study of adults with T1DM (n = 135). The results of the formulas that estimate IR were separated into quartiles and correlated with demographic data, clinical characteristics and laboratory parameters. We analyzed the total and regional adiposity by dual-energy X-ray absorptiometry and skin fold thickness measurements.

resultsTwo thirds of the patients were overweight or obese. A moderate correlation was found between eGDR and ISS (r = 0.612). The results of both formulas were positively correlated with BMI (r = -0.373 eGDR and r = -0.721 ISS), thoracic-abdominal fat (r = -0.484 eGDR and r = -0.758 ISS), waist/height ratio (r = -0.537 eGDR and r = -0.779 ISS), subscapular skinfold (mm) (r = -0.356 eGDR and r = -0.569 ISS), total dose insulin IU/lean mass (kg) (r = -0.279 eGDR and r = -0.398 ISS), age (years) (r = -0.495 eGDR and r = -0.190 ISS) and diabetes duration (years) (r = -0.428 eGDR and r = -0.187 ISS). A moderate agreement (Kappa 0.226) was observed between the 1st quartile of results determined by the formulas in 10.4% of the patients, but the 4th quartile presented a strong correlation (Kappa 0.679). The individuals with IR that were classified in the 1st quartile by the ISS formula had a higher chance of presenting with acanthosis nigricans (OR = 5.58, 95% CI =1.46-21.3).

conclusionsThe correlations found in this study indicate the possibility of using clinical and laboratory data to estimate IR in patients with TDM1. The detection of IR in T1DM patients may allow early intervention and possibly impact on future diabetes complications.

Indexed as

Estimated glucose disposal rate formulaInsulin resistanceInsulin sensitivity scoreType 1 diabetes

Identifiers

PMID25937839
PMCPMC4416245
OpenAlexW2109683287

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.