Evidence map›Paper›PMID 39351311›Full record

ArticleDigital health

Smartwatch measurement of blood oxygen saturation for predicting acute mountain sickness: Diagnostic accuracy and reliability.

Zhengyang Zeng, Lili Li, Li'ao Hu, Kang Wang, Lun Li

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. 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

5 authors.

Zhengyang ZengDepartment of Physical Education, Chengdu Technological University, Yibin, Sichuan, China.ORCID https://orcid.org/0000-0001-5684-5625
Lili LiSchool of Physical Education, China University of Geosciences (Wuhan), Hubei, China.
Li'ao HuSchool of Physical Education, China University of Geosciences (Wuhan), Hubei, China.
Kang WangSchool of Physical Education, China University of Geosciences (Wuhan), Hubei, China.
Lun LiSchool of Physical Education, China University of Geosciences (Wuhan), Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to assess the accuracy and stability of smartwatches in predicting acute mountain sickness (AMS). Methods: In locations exceeding an altitude of 2500 m, a cohort of 42 subjects had their Lake Louise AMS self-assessment score, blood oxygen saturation (SpO Results: A significant decrease in SpO Conclusion: The Huawei smartwatches have demonstrated efficacy in diagnosing and foretelling AMS at elevations exceeding 4000 m, showcasing significant reliability and high precision in SpO

Indexed as

acute mountain sicknessblood oxygen saturationheart rateperfusion indexWearable electronic devices

Identifiers

PMID39351311
PMCPMC11440541

What OpenQuestion holds

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LicenceCC BY-NC
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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.