Evidence map›Paper›PMID 35445050›Full record

ReviewFrontiers in medicine2022

Wearable Smart Contact Lenses for Continual Glucose Monitoring: A Review.

Mohamed Elsherif, Rosalia Moreddu, Fahad Alam, Ahmed E Salih, Israr Ahmed, Haider Butt

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 52 citations in OpenAlex.

  1. Review
  2. Review
  3. Recent advances in smart contact lenses.Biosensors & bioelectronics: X · 2026
    Article
  4. Review
  5. Photonic Nanomaterials for Wearable Health Solutions.Advanced materials (Deerfield Beach, Fla.) · 2025
    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

6 authors at 2 institutions in 2 countries.

Mohamed ElsherifDepartment of Mechanical Engineering, Khalifa University of Science and Engineering, Abu Dhabi, United Arab Emirates.
Rosalia MoredduIstituto Italiano di Tecnologia, Genoa, Italy.
Fahad AlamDepartment of Mechanical Engineering, Khalifa University of Science and Engineering, Abu Dhabi, United Arab Emirates.
Ahmed E SalihDepartment of Mechanical Engineering, Khalifa University of Science and Engineering, Abu Dhabi, United Arab Emirates.
Israr AhmedDepartment of Mechanical Engineering, Khalifa University of Science and Engineering, Abu Dhabi, United Arab Emirates.
Haider ButtDepartment of Mechanical Engineering, Khalifa University of Science and Engineering, Abu Dhabi, United Arab Emirates.
Khalifa University of Science and Technology · AEItalian Institute of Technology · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is a chronic disease requiring a careful management to prevent its collateral complications, such as cardiovascular and Alzheimer's diseases, retinopathy, nephropathy, foot and hearing impairment, and neuropathy. Self-monitoring of blood glucose at point-of-care settings is an established practice for diabetic patients. However, current technologies for glucose monitoring are invasive, costly, and only provide single snapshots for a widely varying parameter. On the other hand, tears are a source of physiological information that mirror the health state of an individual by expressing different concentrations of metabolites, enzymes, vitamins, salts, and proteins. Therefore, the eyes may be exploited as a sensing site with substantial diagnostic potential. Contact lens sensors represent a viable route for targeting minimally-invasive monitoring of disease onset and progression. Particularly, glucose concentration in tears may be used as a surrogate to estimate blood glucose levels. Extensive research efforts recently have been devoted to develop smart contact lenses for continual glucose detection. The latest advances in the field are reviewed herein. Sensing technologies are described, compared, and the associated challenges are critically discussed.

Indexed as

contact lensesenzymesfluorescenceglucose sensorslight diffractionphenylboronic acid

Identifiers

PMID35445050
PMCPMC9013844
OpenAlexW4226420732

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.