Evidence map›Paper›PMID 34588992›Full record

ArticleFrontiers in physiology2021

Urinary Metabolites as Predictors of Acute Mountain Sickness Severity.

Isaie Sibomana, Daniel P Foose, Michael L Raymer, Nicholas V Reo, J Philip Karl, Claire E Berryman, Andrew J Young, Stefan M Pasiakos, Camilla A Mauzy

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
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  7. [Status of Research on Molecular Mechanisms and Management of Acute Mountain Sickness].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
    Review
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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 6 institutions in 1 country.

Isaie SibomanaHenry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States.
Daniel P FooseDepartment of Computer Science and Engineering, Wright State University, Dayton, OH, United States.
Michael L RaymerDepartment of Computer Science and Engineering, Wright State University, Dayton, OH, United States.
Nicholas V ReoBoonshoft School of Medicine, Wright State University, Dayton, OH, United States.
J Philip KarlMilitary Nutrition Division, U.S. Army Research Institute of Environmental Medicine, Natick, MA, United States.
Claire E BerrymanMilitary Nutrition Division, U.S. Army Research Institute of Environmental Medicine, Natick, MA, United States.
Andrew J YoungHenry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States.
Stefan M PasiakosMilitary Nutrition Division, U.S. Army Research Institute of Environmental Medicine, Natick, MA, United States.
Camilla A MauzyAir Force Research Laboratory, 711th Human Performance Wing, Wright-Patterson AFB, Dayton, OH, United States.
Wright State University · USUnited States Army · US711th Human Performance WingHenry M. Jackson Foundation · USOak Ridge Associated Universities · USU.S. Army Research Institute of Environmental Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals sojourning at high altitude (≥2,500m) often develop acute mountain sickness (AMS). However, substantial unexplained inter-individual variability in AMS severity exists. Untargeted metabolomics assays are increasingly used to identify novel biomarkers of susceptibility to illness, and to elucidate biological pathways linking environmental exposures to health outcomes. This study used untargeted nuclear magnetic resonance (NMR)-based metabolomics to identify urine metabolites associated with AMS severity during high altitude sojourn. Following a 21-day stay at sea level (SL; 55m), 17 healthy males were transported to high altitude (HA; 4,300m) for a 22-day sojourn. AMS symptoms measured twice daily during the first 5days at HA were used to dichotomize participants according to AMS severity: moderate/severe AMS (AMS;

Indexed as

acute mountain sicknessaltitudealtitude sicknesshypoxiametabolite profilesNMR-based metabolomicssusceptibilityurine

Identifiers

PMID34588992
PMCPMC8475947
OpenAlexW3201231951

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.