Evidence map›Paper›PMID 41939099›Full record

ReviewAnnals of medicine and surgery (2012)2026

Deep vein thrombosis and coagulopathy following cyclone events: pathophysiology, risk factors, and prevention.

Emmanuel Ifeanyi Obeagu, Ezeldine Abdalhabib

Abstract readReview
In one paragraph

Review in Annals of medicine and surgery (2012), 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

2 authors.

Emmanuel Ifeanyi ObeaguDivision of Haematology, Department of Biomedical and Laboratory Science, Africa University, Mutare, Zimbabwe.ORCID https://orcid.org/0000-0002-4538-0161
Ezeldine AbdalhabibDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, AlQurayyat, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyclone events, characterized by high winds, flooding, and mass displacement, pose significant challenges to public health infrastructure and individual well-being. While acute injuries and infectious diseases are the primary focus of disaster response, thromboembolic complications such as deep vein thrombosis (DVT) and coagulopathies remain underrecognized. The convergence of immobility, dehydration, trauma, and systemic inflammation during and after cyclones creates an ideal environment for thrombus formation, particularly among vulnerable populations. This review explores the pathophysiological mechanisms linking cyclone-related stressors to DVT and coagulation disorders, emphasizing the roles of Virchow's triad, immune activation, and disaster-induced comorbid conditions. Specific risk factors - including advanced age, pregnancy, chronic disease, and restricted mobility in shelters - are discussed in detail. We also highlight the potential for sepsis-induced disseminated intravascular coagulation (DIC) following infectious outbreaks in cyclone-affected regions. Effective prevention and management strategies are urgently needed in disaster-prone settings. These include early mobilization, hydration, use of compression stockings, pharmacologic thromboprophylaxis, and the integration of thrombotic risk screening into disaster response protocols. Improved awareness, targeted interventions, and further research can help reduce the burden of cyclone-associated thromboembolic events and improve outcomes in affected populations.

Indexed as

coagulopathycyclonedeep vein thrombosisdisaster healththrombosis risk

Identifiers

PMID41939099
PMCPMC13048688

What OpenQuestion holds

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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.