Evidence map›Paper›PMID 32515222›Full record

ReviewExperimental biology and medicine (Maywood, N.J.)2020

Telomere length in different metabolic categories: Clinical associations and modification potential.

Mykola Khalangot, Dmytro Krasnienkov, Alexander Vaiserman

Abstract readReview
In one paragraph

Review in Experimental biology and medicine (Maywood, N.J.), 2020. 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. Review
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Review
  7. Can Antidiabetic Medications Affect Telomere Length in Patients with Type 2 Diabetes? A Mini-Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
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

3 authors.

Mykola KhalangotEpidemiology Department, Komisarenko Institute of Endocrinology and Metabolism, Kyiv 04114, Ukraine.ORCID 0000-0002-4632-5447
Dmytro KrasnienkovLaboratory of Epigenetics, Chebotariov Institute of Gerontology, Kyiv 04114, Ukraine.
Alexander VaisermanLaboratory of Epigenetics, Chebotariov Institute of Gerontology, Kyiv 04114, Ukraine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

impact statementMetabolic disorders are known to be associated with accelerated telomere attrition. Their pathophysiological heterogeneity suggests the importance of multiple tests in examining these associations. However, oral glucose tolerance test (OGTT) has rarely been performed in such studies to date. There are few studies aimed at determining leukocyte telomere length (LTL) in different categories of impaired glucose tolerance (IGT), and those that do exist do not take into account the impaired fasting glucose (IFG)/IGT categorization. Therefore, we believe our study, when the OGTT was used, is important to the field. This testing made it possible to determine whether LTLs are associated with glucose levels in different hyperglycemic categories. Our data indicate that relationships between LTLs and IFG/IGT levels are not the same. This distinction can potentially be used in categorization of metabolic disorders and in determining the effectiveness of interventions aimed at treating diabetes and other metabolic abnormalities.

Indexed as

AnimalsBlood GlucoseFastingHumansLeukocytesMetabolic SyndromeTelomereBlood Glucoseagediabetes mellitusfasting plasma glucoseglucose toleranceLeukocyte telomeres lengthsmetabolic syndrome

Identifiers

PMID32515222
PMCPMC7400729

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.