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ArticleBioMed research international2018

Increased Micronuclei Frequency in Oral and Lingual Epithelium of Treated Diabetes Mellitus Patients.

Jesús Emilo Quintero Ojeda, Maribel Aguilar-Medina, Vicente Olimón-Andalón, Rosa Alicia García Jau, Alfredo Ayala Ham, José Geovanni Romero Quintana, Erika de Lourdes Silva-Benítez, Guzmán Sanchez-Schmitz, Rosalío Ramos-Payán

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Article in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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.

Jesús Emilo Quintero OjedaFaculty of Odontology, Autonomous University of Sinaloa, 80010 Culiacán, SIN, Mexico.
Maribel Aguilar-MedinaFaculty of Odontology, Autonomous University of Sinaloa, 80010 Culiacán, SIN, Mexico.
Vicente Olimón-AndalónFaculty of Biology, Autonomous University of Sinaloa, 80010 Culiacán, SIN, Mexico.ORCID 0000-0001-9995-5680
Rosa Alicia García JauFaculty of Odontology, Autonomous University of Sinaloa, 80010 Culiacán, SIN, Mexico.
Alfredo Ayala HamFaculty of Odontology, Autonomous University of Sinaloa, 80010 Culiacán, SIN, Mexico.
José Geovanni Romero QuintanaFaculty of Biological and Chemical Sciences, Autonomous University of Sinaloa, 80010 Culiacán, SIN, Mexico.ORCID 0000-0003-2646-106X
Erika de Lourdes Silva-BenítezFaculty of Odontology, Autonomous University of Sinaloa, 80010 Culiacán, SIN, Mexico.
Guzmán Sanchez-SchmitzBoston Children's Hospital and Harvard Medical School, Harvard University, Boston, MA 02115, USA.ORCID 0000-0002-3566-7505
Rosalío Ramos-PayánFaculty of Odontology, Autonomous University of Sinaloa, 80010 Culiacán, SIN, Mexico.ORCID 0000-0001-7500-7571

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) is a metabolic disease characterized by persistent high levels of glucose in plasma. Chronic hyperglycemia is thought to increase oxidative stress and the formation of free radicals that in turn damage cells. Thus, we decided to determine the frequency of nuclear abnormalities in epithelial cells from cheek and tongue mucosa of DM patients with type 1 (DM1, treated only with insulin) and type 2 (DM2, treated with metformin) using the buccal micronucleus cytome (BMCyt) assay. Micronuclei frequency in cheek epithelial cells was higher in both DM1 (0.75 ± 0.31,

Indexed as

CheekDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2DNA DamageEpitheliumFemaleHumansInsulinMaleMetforminMicronucleus TestsMiddle AgedMouth MucosaOxidative StressTongueInsulinMetformin

Identifiers

PMID29546061
PMCPMC5818950

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Registered trials

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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.