Evidence map›Paper›PMID 38212492›Full record

ReviewNature biotechnology2024

The challenges and promise of sweat sensing.

Noelle Davis, Jason Heikenfeld, Carlos Milla, Ali Javey

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
27.5field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 149 citations in OpenAlex.

  1. Use of Wearable Sensors in Angelman Syndrome: A Systematic Review.Journal of intellectual disability research : JIDR · 2026
    Pooled it
  2. Review
  3. Review
  4. Tailoring NaSensors (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
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  12. Review
  13. Sweat components as a promising monitoring tool for systemic diseases.The journal of physiological sciences : JPS · 2026
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
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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 at 3 institutions in 1 country.

Noelle DavisElectrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0001-7198-4578
Jason HeikenfeldDepartment of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA. heikenjc@ucmail.uc.edu.ORCID http://orcid.org/0000-0001-5778-8343
Carlos MillaThe Stanford Cystic Fibrosis Center, Center for Excellence in Pulmonary Biology, Stanford School of Medicine, Palo Alto, CA, USA. cmilla@stanford.edu.ORCID http://orcid.org/0000-0001-5515-3053
Ali JaveyElectrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA, USA. ajavey@eecs.berkeley.edu.ORCID http://orcid.org/0000-0001-7214-7931
Lawrence Berkeley National Laboratory · USStanford Medicine · USUniversity of Cincinnati · US

Funding

NSF | ENG/OAD | Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET) 2125056NSF | ENG/OAD | Division of Electrical, Communications and Cyber Systems (ECCS) 2025720United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) FA9550-20-1-0117United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) FA955-20-1-0117-Sub 013176-002U.S. Department of Defense (United States Department of Defense) National Defense Science and Engineering Graduate (NDSEG) Fellowship Program
6 · The paper itself

Abstract

The potential of monitoring biomarkers in sweat for health-related applications has spurred rapid growth in the field of wearable sweat sensors over the past decade. Some of the key challenges have been addressed, including measuring sweat-secretion rate and collecting sufficient sample volumes for real-time, continuous molecular analysis without intense exercise. However, except for assessment of cystic fibrosis and regional nerve function, the ability to accurately measure analytes of interest and their physiological relevance to health metrics remain to be determined. Although sweat is not a crystal ball into every aspect of human health, we expect sweat measurements to continue making inroads into niche applications involving active sweating, such as hydration monitoring for athletes and physical laborers and later for medical and casual health monitoring of relevant drugs and hormones.

Indexed as

BiomarkersBiosensing TechniquesSweatWearable Electronic DevicesCystic FibrosisHumansMonitoring, PhysiologicSweatingBiomarkers

Identifiers

PMID38212492
OpenAlexW4390751412

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.