Evidence map›Paper›PMID 42495107›Full record

ArticleEClinicalMedicine2026

Glycaemic biomarker trends across pre-war and wartime periods in Ukraine, 2021-2024: a repeated cross-sectional study.

Oksana Sulaieva, Yeva Ilkiv, Viktoriia Yerokhovych, Vitalii Gurianov, Anna Shcherbakova, Pavlina Botsun, Damir Sapunar, Livia Puljak, Mykola Tronko, Olena Kovzun and 3 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Oksana SulaievaMedical Laboratory CSD, Kyiv, 02000, Ukraine.
Yeva IlkivBogomolets National Medical University, Kyiv, 01024, Ukraine.
Viktoriia YerokhovychBogomolets National Medical University, Kyiv, 01024, Ukraine.
Vitalii GurianovBogomolets National Medical University, Kyiv, 01024, Ukraine.
Anna ShcherbakovaMedical Laboratory CSD, Kyiv, 02000, Ukraine.
Pavlina BotsunMedical Laboratory CSD, Kyiv, 02000, Ukraine.
Damir SapunarUniversity of Split, Split, Croatia.
Livia PuljakCatholic University of Croatia, Zagreb, Croatia.
Mykola TronkoV.P. Komisarenko Institute of Endocrinology and Metabolism, The National Academy of Medical Sciences of Ukraine, 04114, Kyiv, Ukraine.
Olena KovzunV.P. Komisarenko Institute of Endocrinology and Metabolism, The National Academy of Medical Sciences of Ukraine, 04114, Kyiv, Ukraine.
Volodymyr PushkarevV.P. Komisarenko Institute of Endocrinology and Metabolism, The National Academy of Medical Sciences of Ukraine, 04114, Kyiv, Ukraine.
Victoriia PopovaV.P. Komisarenko Institute of Endocrinology and Metabolism, The National Academy of Medical Sciences of Ukraine, 04114, Kyiv, Ukraine.
Nazarii KobyliakMedical Laboratory CSD, Kyiv, 02000, Ukraine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The ongoing war in Ukraine have exposed the population to unprecedented stressors the long-term metabolic consequences of which remain insufficiently characterised. This study evaluated changes in glycaemic control and related biomarkers in the Ukrainian population during ongoing war between 2021 and 2024. Methods: This large-scale, single centre repeated cross-sectional study analysed routine laboratory data across Ukraine from January 2021 to December 2024. We included a convenience sample of adults aged 18-90 years with complete demographic data who underwent on fasting plasma glucose (FPG) (108,346 individuals), of whom 86,077 also had glycated haemoglobin (HbA1c) results. Additional data was available for 2502 insulin and 9000 cortisol measurements. Biomarker trends were assessed annually and quarterly, stratified by sex, age, and geographic region, and categorised as corresponding to normoglycemia, prediabetes, and diabetes. Findings: In 2021, median HbA1c was 5.71% (interquartile range; IQR 5.34-6.34), with 28.7% of individuals in the prediabetic and 22.3% in the diabetic range. By 2024, median HbA1c rose to 5.91%, with prediabetes increasing from 28.7% to 37.7%, and diabetic levels rate growing from 22.3% to 26.4%. As a result, 64% of all individuals tested in 2024 had HbA1c above the normoglycaemic threshold. Women and working-age adults showed the greatest glycaemic deterioration, despite men having higher absolute levels. Interpretation: The Ukrainian population experienced significant metabolic deterioration during the war. Rising HbA1c and the growing prevalence of prediabetes and diabetes, particularly among women and younger adults, indicate escalating cardiometabolic risks. Future prospective longitudinal studies are needed to evaluate the long-term effectiveness of integrated metabolic and psychosocial interventions in conflict-affected populations. Funding: National Research Foundation of Ukraine.

Indexed as

Armed conflictsDiabetes mellitusGlucose metabolism disordersGlycated haemoglobinPrediabetic stateUkraine

Identifiers

PMID42495107
PMCPMC13393166

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.