Evidence map›Paper›PMID 41479627›Full record

ArticleAnnals of burns and fire disasters2025

Development and Validation of the Clinical Risk Prediction Model for Disseminated Intravascular Coagulation after Severe Burn Injury.

P V Skakun, S A Alekseev, A Ch Chasnoits, A V Gubicheva, O V Krasko

Abstract read
In one paragraph

Article in Annals of burns and fire disasters, 2025. 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

5 authors.

P V SkakunDepartment of Plastic Surgery and Combustiology, Institute of Qualification Improvement and Retraining, Belarusian State Medical University, Minsk, Republic of Belarus.
S A AlekseevDepartment of General Surgery, Belarusian State Medical University, Minsk, Republic of Belarus.
A Ch ChasnoitsDepartment of Plastic Surgery and Combustiology, Institute of Qualification Improvement and Retraining, Belarusian State Medical University, Minsk, Republic of Belarus.
A V GubichevaDepartment of Plastic Surgery and Combustiology, Institute of Qualification Improvement and Retraining, Belarusian State Medical University, Minsk, Republic of Belarus.
O V KraskoThe United Institute of Informatics Problems of the National Academy of Sciences of Belarus, Minsk, Belarus.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thermal trauma ranks among the top external causes of death and carries substantial socioeconomic impacts across all demographics. A prevalent complication following severe burn injuries is disseminated intravascular coagulation (DIC) syndrome. The onset of coagulopathy in severely burned patients is an early indicator of mortality risk, which persists throughout their clinical recovery. Early identification of DIC is crucial for determining the scope of surgical interventions. Concurrently, DIC presents a potential target for therapeutic intervention. Thus, forecasting the onset of DIC in burn victims, along with the capacity for its timely prevention and necessary treatment adjustments, is a critical objective. Current predictive models are complex and rely on specific markers not universally available in primary care settings for burn victims, nor do they consider the unique pathophysiological characteristics of severe burn injuries. Considering these factors, the purpose of this study is to develop a simple and effective approach to early prediction of DIC syndrome after severe burn injury in order to identify risk groups and initiate preventive measures.

Indexed as

coagulopathyDICforecastingsevere burn injury

Identifiers

PMID41479627
PMCPMC12755376

What OpenQuestion holds

Textmetadata
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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.