Evidence map›Paper›PMID 35736953›Full record

ArticleJournal of applied physiology (Bethesda, Md. : 1985)2022

A 3-D virtual human model for simulating heat and cold stress.

Tushar Gulati, Rajeev Hatwar, Ginu Unnikrishnan, Jose E Rubio, Jaques Reifman

Open access · greenAbstract read
In one paragraph

Article in Journal of applied physiology (Bethesda, Md. : 1985), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Tushar GulatiDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command, Fort Detrick, Maryland.
Rajeev HatwarDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command, Fort Detrick, Maryland.
Ginu UnnikrishnanDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command, Fort Detrick, Maryland.
Jose E RubioDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command, Fort Detrick, Maryland.ORCID 0000-0002-6320-2086
Jaques ReifmanDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command, Fort Detrick, Maryland.ORCID 0000-0001-7292-2029
Henry M. Jackson Foundation · USTelemedicine & Advanced Technology Research Center · US

Funding

Environmental Health Perspectives, NIEHS27302C0031 · NIEHS · 2008 to 2008
$1.2M
2016 SETAC Asia/Pacific ConferenceR13ES027302 · NIEHS · SOCIETY/ENVIRONMENTAL TOXICOLOGY/CHEM · PI MENZIE, CHARLES · 2016 to 2016
$6k
DOD | United States Army | MEDCOM | U.S. Army Medical Research and Development Command (MRDC) W81XWH20C0031NIEHS NIH HHS 27302C0031
6 · The paper itself

Abstract

In this study, we extended our previously developed anatomically detailed three-dimensional (3-D) thermoregulatory virtual human model for predicting heat stress to allow for predictions of heat and cold stress in one unified model. Starting with the modified Pennes bioheat transfer equation to estimate the spatiotemporal temperature distribution within the body as the underlying modeling structure, we developed a new formulation to characterize the spatial variation of blood temperature between body elements and within the limbs. We also implemented the means to represent heat generated from shivering and skin blood flow that apply to air exposure and water immersion. Then, we performed simulations and validated the model predictions with experimental data from nine studies, representing a wide range of heat- and cold-stress conditions in air and water and physical activities. We observed excellent agreement between model predictions and measured data, with average root mean squared errors of 0.2°C for core temperature, 0.9°C for mean skin temperature, and 27 W for heat from shivering. We found that a spatially varying blood temperature profile within the limbs was crucial to accurately predict core body temperature changes during very cold exposures. Our 3-D thermoregulatory virtual human model consistently predicted the body's thermal state accurately for each of the simulated hot and cold environmental conditions and exertional heat stress. As such, it serves as a reliable tool to assess whole body, localized tissue, and, potentially, organ-specific injury risks, helping develop injury prevention and mitigation strategies in a systematic and expeditious manner.

Indexed as

Cold-Shock ResponseHeat Stress DisordersBody TemperatureBody Temperature RegulationCold TemperatureHumansImmersionWaterWatercold injurycold-water immersionexertional heat stressfrostbitehypothermia

Identifiers

PMID35736953
PMCPMC9359647
OpenAlexW4283323146

What OpenQuestion holds

Textmetadata
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.