Evidence map›Paper›PMID 30104496›Full record

ReviewSensors (Basel, Switzerland)2018

Contact-Lens Biosensors.

Ryan Chang Tseng, Ching-Chuen Chen, Sheng-Min Hsu, Han-Sheng Chuang

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
11.7field-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

47 citing papers in PubMed, 144 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Recent advances in smart contact lenses.Biosensors & bioelectronics: X · 2026
    Article
  6. Review
  7. Review
  8. Photonic Nanomaterials for Wearable Health Solutions.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Ocular tear fluid biomarkers collected by contact lenses.Biochemical and biophysical research communications · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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 2 institutions in 1 country.

Ryan Chang TsengDepartment of Biomedical Engineering, National Cheng Kung University, Tainan City 701, Taiwan. tsengryan@gmail.com.
Ching-Chuen ChenDepartment of Biomedical Engineering, National Cheng Kung University, Tainan City 701, Taiwan. st86481234@gmail.com.
Sheng-Min HsuDepartment of Ophthalmology, National Cheng Kung University Hospital, Tainan City 704, Taiwan. shengmin@mail.ncku.edu.tw.
Han-Sheng ChuangDepartment of Biomedical Engineering, National Cheng Kung University, Tainan City 701, Taiwan. oswaldchuang@mail.ncku.edu.tw.ORCID 0000-0002-7257-6565
National Cheng Kung University · TWNational Cheng Kung University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid diagnosis and screening of diseases have become increasingly important in predictive and preventive medicine as they improve patient treatment strategies and reduce cost as well as burden on our healthcare system. In this regard, wearable devices are emerging as effective and reliable point-of-care diagnostics that can allow users to monitor their health at home. These wrist-worn, head-mounted, smart-textile, or smart-patches devices can offer valuable information on the conditions of patients as a non-invasive form of monitoring. However, they are significantly limited in monitoring physiological signals and biomechanics, and, mostly, rely on the physical attributes. Recently, developed wearable devices utilize body fluids, such as sweat, saliva, or skin interstitial fluid, and electrochemical interactions to allow continuous physiological condition and disease monitoring for users. Among them, tear fluid has been widely utilized in the investigation of ocular diseases, diabetes, and even cancers, because of its easy accessibility, lower complexity, and minimal invasiveness. By determining the concentration change of analytes within the tear fluid, it would be possible to identify disease progression and allow patient-oriented therapies. Considering the emerging trend of tear-based biosensing technology, this review article aims to focus on an overview of the tear fluid as a detection medium for certain diseases, such as ocular disorders, diabetes, and cancer. In addition, the rise and application of minimally invasive detection and monitoring via integrated contact lens biosensors will also be addressed, in regards to their practicality and current developmental progress.

Indexed as

Contact LensesMonitoring, PhysiologicWearable Electronic DevicesBiosensing TechniquesDisease ProgressionHumansPoint-of-Care SystemsTearsbiomarkerbiosensorcontact lenstearwearable device

Identifiers

PMID30104496
PMCPMC6111605
OpenAlexW2887226015

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.