Evidence map›Paper›PMID 39462048›Full record

ArticleScientific reports2024

HbA1c and leukocyte mtDNA levels as major factors associated with post-COVID-19 syndrome in type 2 diabetes patients.

Anton Matviichuk, Viktoriia Yerokhovych, Yeva Ilkiv, Dmytro Krasnienkov, Veronika Korcheva, Oleksandr Gurbych, Anna Shcherbakova, Pavlina Botsun, Tetyana Falalyeyeva, Oksana Sulaieva and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

11 authors.

Anton MatviichukEndocrinology Department, Bogomolets National Medical University, Kyiv, Ukraine.
Viktoriia YerokhovychEndocrinology Department, Bogomolets National Medical University, Kyiv, Ukraine.
Yeva IlkivEndocrinology Department, Bogomolets National Medical University, Kyiv, Ukraine.
Dmytro KrasnienkovLaboratory of Epigenetics, Institute of Gerontology Academy of Medical Sciences of Ukraine, Kyiv, Ukraine.
Veronika KorchevaLaboratory of Epigenetics, Institute of Gerontology Academy of Medical Sciences of Ukraine, Kyiv, Ukraine.
Oleksandr GurbychBlackthorn AI, Ltd, London, UK.
Anna ShcherbakovaMedical Laboratory CSD, Kyiv, Ukraine.
Pavlina BotsunMedical Laboratory CSD, Kyiv, Ukraine.
Tetyana FalalyeyevaTaras Shevchenko National University of Kyiv, Kyiv, Ukraine.
Oksana SulaievaMedical Laboratory CSD, Kyiv, Ukraine.
Nazarii KobyliakEndocrinology Department, Bogomolets National Medical University, Kyiv, Ukraine. nazariikobyliak@gmail.com.

Funding

National Research Foundation of Ukraine 2021.01/0213
6 · The paper itself

Abstract

Post-COVID-19 syndrome (PCS) is an emerging health problem in people recovering from COVID-19 infection within the past 3-6 months. The current study aimed to define the predictive factors of PCS development by assessing the mitochondrial DNA (mtDNA) levels in blood leukocytes, inflammatory markers and HbA1c in type 2 diabetes patients (T2D) with regard to clinical phenotype, gender, and biological age. In this case-control study, 65 T2D patients were selected. Patients were divided into 2 groups depending on PCS presence: the PCS group (n = 44) and patients who did not develop PCS (n = 21) for up to 6 months after COVID-19 infection. HbA1c and mtDNA levels were the primary factors linked to PCS in different models. We observed significantly lower mtDNA content in T2D patients with PCS compared to those without PCS (1.26 ± 0.25 vs. 1.44 ± 0.24; p = 0.011). In gender-specific and age-related analyses, the mt-DNA amount did not differ significantly between the subgroups. According to the stepwise multivariate logistic regression analysis, low mtDNA content and HbA1c were independent variables associated with PCS development, regardless of oxygen, glucocorticoid therapy and COVID-19 severity. The top-performing model for PCS prediction was the gradient boosting machine (GBM). HbA1c and mtDNA had a notably greater influence than the other variables, indicating their potential as prognostic biomarkers.

Indexed as

COVID-19Diabetes Mellitus, Type 2DNA, MitochondrialGlycated HemoglobinLeukocytesAdultAgedBiomarkersCase-Control StudiesFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromeSARS-CoV-2BiomarkersDNA, MitochondrialGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID39462048
PMCPMC11513135

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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.