Evidence map›Paper›PMID 39727849›Full record

ArticleBiosensors2024

Detecting Hypoxia Through the Non-Invasive and Simultaneous Monitoring of Sweat Lactate and Tissue Oxygenation.

Cindy Cheng, Sayan Ganguly, Pei Li, Xiaowu Tang

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

4 authors.

Cindy ChengDepartment of Chemistry, University of Waterloo, 200 University Ave West, Waterloo, ON N2L 3G1, Canada.
Sayan GangulyDepartment of Chemistry, University of Waterloo, 200 University Ave West, Waterloo, ON N2L 3G1, Canada.ORCID 0000-0001-7846-6677
Pei LiDepartment of Chemistry, University of Waterloo, 200 University Ave West, Waterloo, ON N2L 3G1, Canada.
Xiaowu TangDepartment of Chemistry, University of Waterloo, 200 University Ave West, Waterloo, ON N2L 3G1, Canada.ORCID 0000-0002-9734-4365

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypoxia, characterized by inadequate tissue oxygenation, may result in tissue damage and organ failure if not addressed. Current detection approaches frequently prove insufficient, depending on symptoms and rudimentary metrics such as tissue oxygenation, which fail to comprehensively identify the onset of hypoxia. The European Pressure Ulcer Advisory Panel (EPUAP) has recognized sweat lactate as a possible marker for the early identification of decubitus ulcers, nevertheless, neither sweat lactate nor oxygenation independently provides an appropriate diagnosis of hypoxia. We have fabricated a wearable device that non-invasively and concurrently monitors sweat lactate and tissue oxygenation to fill this gap. The apparatus comprises three essential components: (i) a hydrogel-based colorimetric lactate biosensor, (ii) a near-infrared (NIR) sensor for assessing tissue oxygenation, and (iii) an integrated form factor for enhanced wearability. The lactate sensor alters its hue upon interaction with lactate in sweat, whereas the NIR sensor monitors tissue oxygenation levels in real-time. The device underwent testing on phantom exhibiting tissue-mimicking characteristics and on human sweat post aerobic and anaerobic activities. Moreover, the device was demonstrated to be capable of real-time "on-body" simultaneous monitoring of sweat lactate spikes and tissue oxygenation (StO

Indexed as

Biosensing TechniquesHypoxiaLactic AcidOxygenSweatHumansMonitoring, PhysiologicWearable Electronic DevicesLactic AcidOxygenhypoxiasweat lactatetissue oxygenationwearable sensor

Identifiers

PMID39727849
PMCPMC11674206

What OpenQuestion holds

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Registered trials

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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.