Evidence map›Paper›PMID 41409559›Full record

ReviewFrontiers in physiology2025

Heat stroke dysfunctions: from pathophysiology to prediction.

Azza Alawad, Tarig Merghani, Nadia Yousif, Shahenaz Satti, Alhiedi Edris, Alwaleed Hakim, Tarig Fadelelmoula

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

7 authors.

Azza AlawadDepartment of Physiology, Faculty of Medicine, Al Neelain University, Khartoum, Sudan.
Tarig MerghaniDepartment of Physiology, RAK College of Medical Sciences, RAK Medical and Health Sciences University, Ras Al Khaimah, United Arab Emirates.
Nadia YousifDepartment of Pediatrics, Ministry of Health, Khartoum, Sudan.
Shahenaz SattiDepartment of Physiology, College of Medicine and Health Sciences/National University of Science and Technology, Sohar, Oman.
Alhiedi EdrisZaeyd Military Hospital, Ministry of Health, Abu Dhabi, United Arab Emirates.
Alwaleed HakimFaculty of Medicine, Alexandria University, Alexandria, Egypt.
Tarig FadelelmoulaDepartment of Internal Medicine, College of Medicine and Health Sciences/National University of Science and Technology, Sohar, Oman.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heat stroke is a severe, life-threatening medical emergency defined by an elevation in core body temperature exceeding 40.0 °C, accompanied by acute central nervous system (CNS) dysfunction and often complicated by multi-organ failure. Although traditionally viewed as a thermoregulatory collapse from environmental exposure or intense exertion, recent evidence highlights its complex, multifactorial pathophysiology. This includes systemic inflammation, immune dysregulation, oxidative stress, endothelial injury, and activation of the coagulation cascade. This comprehensive narrative examines advances in understanding underlying mechanisms, clinical manifestations, emerging biomarkers, and outcomes in both classic (non-exertional) and exertional heat stroke. Emphasis is placed on the gut-brain axis, where disruption of intestinal barrier integrity and microbiota dysbiosis amplify systemic inflammation and contribute to neurotoxicity. Heat stroke-related neurological damage affects critical brain regions, including the hypothalamus, cerebellum and hippocampus, often resulting in long-term cognitive and motor impairments. Several biomarkers that include interleukin-6 (IL-6), high-mobility group box 1 protein (HMGB1), creatine kinase (CK), S100β, and D-dimer are under active investigation for diagnostic and prognostic utility, but their clinical use remains limited by inter-individual variability and lack of standardized thresholds. Recent advances in artificial intelligence (AI) and wearable biosensors may facilitate early detection, continuous monitoring, and individualized risk prediction, particularly in vulnerable populations such as outdoor workers, athletes, and military personnel. An interdisciplinary approach is critical to improving early recognition, management strategies, and long-term outcomes in the context of rising global temperatures and climate change.

Indexed as

artificial intelligenceheat strokehyperthermiainflammationintestinal microbiotamultiple organ failurethermoregulationwearable devices

Identifiers

PMID41409559
PMCPMC12705364

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.