Evidence map›Paper›PMID 39980006›Full record

ArticleDiabetology & metabolic syndrome2025

Prediction of unfavorable outcome of acute decompensation of diabetes mellitus.

L P Kogan, K G Korneva, A E Volvach, S V Sorokoumova, A A Modelkina, G A Novikov

Abstract read
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Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

L P KoganRadio Astronomy Laboratory of Crimean Astrophysical Observatory, Katsively, RT-22, Crimea.
K G KornevaPrivolzhsky Research Medical University, Nizhny Novgorod, Russia.
A E VolvachRadio Astronomy Laboratory of Crimean Astrophysical Observatory, Katsively, RT-22, Crimea. volvach@meta.ua.
S V SorokoumovaResearch Institute Federal Penitentiary Service of Russia, Moscow, Russia.
A A ModelkinaPrivolzhsky Research Medical University, Nizhny Novgorod, Russia.
G A NovikovPrivolzhsky Research Medical University, Nizhny Novgorod, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

the aim of the studyUsing the method of spectral-probability analysis, to evaluate the possibility of predicting an unfavorable outcome of acute decompensation of diabetes mellitus in patients hospitalized in the intensive care unit using a mathematical model. In relation to clinical practice, the implementation of the proposed algorithm for mathematical processing of a set of test data provides the physician with an additional significant criterion for assessing the probability of a tendency to develop type 1 diabetes in healthy children being examined whose brothers or sisters suffer from this disease. MATERIALS AND

methodsA retrospective analysis of 103 medical records of patients hospitalized in the intensive care unit for acute decompensation of diabetes mellitus was conducted.

resultsWith regard to the set of analyses of patients with acute decompensation of diabetes mellitus, carried out at the time of admission to hospital, a group of mathematical criteria has been defined that makes it possible to identify patients with a high risk of an unfavorable course of the disease.

Indexed as

Bayes' theoremDiabetes mellitusDiscretization domainsStatistical functional

Identifiers

PMID39980006
PMCPMC11844189

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LicenceCC BY-NC-ND
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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.