Evidence map›Paper›PMID 29451006›Full record

ArticleJournal of diabetes science and technology2018

Different Indexes of Glycemic Variability as Identifiers of Patients with Risk of Hypoglycemia in Type 2 Diabetes Mellitus.

Ana M Gómez, Oscar M Muñoz, Alejandro Marin, Maria Camila Fonseca, Martin Rondon, María Alejandra Robledo Gómez, Andrei Sanko, Dilcia Lujan, Maira García-Jaramillo, Fabian Mauricio León Vargas

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 43 citations in OpenAlex.

  1. Trial
  2. Trial
  3. When would I be surprised? Variability in predicted probability of survival for being "surprised" and "not surprised" to the surprise question.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Hydrocortisone for Septic Shock, Bolus or Infusion: Pro, Con, May be.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. The Role of Glycemic Variability in Cardiovascular Disorders.International journal of molecular sciences · 2021
    Review
  16. Observational
  17. Article
  18. Article
  19. Review
  20. 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

10 authors at 4 institutions in 1 country.

Ana M Gómez1 Pontificia Universidad Javeriana, Bogotá, Colombia.
Oscar M Muñoz1 Pontificia Universidad Javeriana, Bogotá, Colombia.ORCID 0000-0001-5401-0018
Alejandro Marin1 Pontificia Universidad Javeriana, Bogotá, Colombia.
Maria Camila Fonseca1 Pontificia Universidad Javeriana, Bogotá, Colombia.
Martin Rondon1 Pontificia Universidad Javeriana, Bogotá, Colombia.
María Alejandra Robledo Gómez1 Pontificia Universidad Javeriana, Bogotá, Colombia.
Andrei Sanko1 Pontificia Universidad Javeriana, Bogotá, Colombia.
Dilcia Lujan3 Colombian Diabetes Association, Bogotá, Colombia.
Maira García-Jaramillo2 Hospital Universitario San Ignacio, Bogotá, Colombia.
Fabian Mauricio León Vargas2 Hospital Universitario San Ignacio, Bogotá, Colombia.
Pontificia Universidad Javeriana · COAsociación Colombiana de Diabetes · COUniversidad Antonio Nariño · COUniversidad EAN · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRecent publications frequently introduce new indexes to measure glycemic variability (GV), quality of glycemic control, or glycemic risk; however, there is a lack of evidence supporting the use of one particular parameter, especially in clinical practice.

methodsA cohort of type 2 diabetes mellitus (T2DM) patients in ambulatory care were followed using continuous glucose monitoring sensors (CGM). Mean glucose (MG), standard deviation, coefficient of variation (CV), interquartile range, CONGA1, 2, and 4, MAGE, M value, J index, high blood glucose index, and low blood glucose index (LBGI) were estimated. Hypoglycemia incidence (<54 mg/dl) was calculated. Area under the curve (AUC) was determined for different indexes as identifiers of patients with risk of hypoglycemia (IRH). Optimal cutoff thresholds were determined from analysis of the receiver operating characteristic curves.

resultsCGM data for 657 days from 140 T2DM patients (4.69 average days per patient) were analyzed. Hypoglycemia was present in 50 patients with 144 hypoglycemic events in total (incidence rate of 0.22 events per patient/day). In the multivariate analysis, both CV (OR 1.20, 95% CI 1.12-1.28, P < .001) and LBGI (OR 4.83, 95% CI 2.41-9.71, P < .001) were shown to have a statistically significant association with hypoglycemia. The highest AUC were for CV (0.84; 95% CI 0.77-0.91) and LBGI (0.95; 95% CI 0.92-0.98). The optimal cutoff threshold for CV as IRH was 34%, and 3.4 for LBGI.

conclusionThis analysis shows that CV can be recommended as the preferred parameter of GV to be used in clinical practice for T2DM patients. LBGI is the preferred IRH between glycemic risk indexes.

Indexed as

Glycemic IndexAgedBlood GlucoseCohort StudiesDiabetes ComplicationsDiabetes Mellitus, Type 2FemaleHumansHypoglycemiaIncidenceMaleMiddle AgedProspective StudiesBlood Glucosecontinuous glucose monitoringglucose variabilityhypoglycemiatype 2 diabetes

Identifiers

PMID29451006
PMCPMC6134628
OpenAlexW2792346673

What Socratic 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 Socratic graph.