Evidence map›Paper›PMID 38577295›Full record

ArticleTemperature (Austin, Tex.)2024

The increase in core body temperature in response to exertional-heat stress can predict exercise-induced gastrointestinal syndrome.

Kayla Henningsen, Alice Mika, Rebekah Alcock, Stephanie K Gaskell, Alexandra Parr, Christopher Rauch, Isabela Russo, Rhiannon M J Snipe, Ricardo J S Costa

Open access · hybridAbstract read
In one paragraph

Article in Temperature (Austin, Tex.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 13 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Kayla HenningsenDepartment of Nutrition, Dietetics and Food, Monash University, Victoria, Australia.
Alice MikaDepartment of Nutrition, Dietetics and Food, Monash University, Victoria, Australia.
Rebekah AlcockDepartment of Dietetics and Human Nutrition, La Trobe University, Bundoora, Victoria, Australia.
Stephanie K GaskellDepartment of Nutrition, Dietetics and Food, Monash University, Victoria, Australia.
Alexandra ParrDepartment of Nutrition, Dietetics and Food, Monash University, Victoria, Australia.
Christopher RauchDepartment of Nutrition, Dietetics and Food, Monash University, Victoria, Australia.
Isabela RussoDepartment of Nutrition, Dietetics and Food, Monash University, Victoria, Australia.
Rhiannon M J SnipeCentre for Sport Research, School of Exercise and Nutrition Sciences, Deakin University, Burwood, Australia.
Ricardo J S CostaDepartment of Nutrition, Dietetics and Food, Monash University, Victoria, Australia.ORCID https://orcid.org/0000-0003-3069-486X
Monash University · AUDeakin University · AULa Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Utilizing metadata from existing exertional and exertional-heat stress studies, the study aimed to determine if the exercise-associated increase in core body temperature can predict the change in exercise-induced gastrointestinal syndrome (EIGS) biomarkers and exercise-associated gastrointestinal symptoms (Ex-GIS). Endurance-trained individuals completed 2 h of running exercise in temperate (21.2-30.0°C) to hot (35.0-37.2°C) ambient conditions (n = 132 trials). Blood samples were collected pre- and post-exercise to determine the change in gastrointestinal integrity biomarkers and systemic inflammatory cytokines. Physiological and thermoregulatory strain variables were assessed every 10-15 min during exercise. The strength of the linear relationship between maximal (M-Tre) and change (Δ Tre) in rectal temperature and EIGS variables was determined via Spearman's rank correlation coefficients. While the strength of prediction was determined via simple and multiple linear regression analyses dependent on screened EIGS and Ex-GIS confounding factors. Significant positive correlations between Tre maximum (M-Tre) and change (Δ Tre) with I-FABP (rs = 0.434, p < 0.001; and rs = 0.305, p < 0.001; respectively), sCD14 (rs = 0.358, p < 0.001; and rs = 0.362, p < 0.001), systemic inflammatory response profile (SIR-Profile) (p < 0.001), and total Ex-GIS (p < 0.05) were observed. M-Tre and Δ Tre significantly predicted (adjusted R2) magnitude of change in I-FABP (R2(2,123)=0.164, p < 0.001; and R2(2,119)=0.058, p = 0.011; respectively), sCD14 (R2(2,81)=0.249, p < 0.001; and R2(2,77)=0.214, p < 0.001), SIR-Profile (p < 0.001), and total Ex-GIS (p < 0.05). Strong to weak correlations were observed between M-Tre and Δ Tre with plasma concentrations of I-FABP, sCD14, SIR-Profile, and Ex-GIS in response to exercise. M-Tre and Δ Tre can predict the magnitude of these EIGS variables and Ex-GIS in response to exercise.

Indexed as

endotoxinenduranceExertionalgastrointestinal symptomsheatI-FABPinflammatory cytokinesthermoregulation

Identifiers

PMID38577295
PMCPMC10989703
OpenAlexW4376287342

What OpenQuestion 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 OpenQuestion graph.