Evidence map›Paper›PMID 38965218›Full record

ArticleNature communications2024

Neuroprosthetic contact lens enabled sensorimotor system for point-of-care monitoring and feedback of intraocular pressure.

Weijia Liu, Zhijian Du, Zhongyi Duan, La Li, Guozhen Shen

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Bioinspired Photodetectors: From Nature to Advanced Applications.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  3. Review
  4. Contemporary Research Questions in the Field of Contact Lenses and Where to Next?Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Unperceivable Designs of Wearable Electronics.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. 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

5 authors.

Weijia LiuSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, 100081, Beijing, China.
Zhijian DuSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, 100081, Beijing, China.
Zhongyi DuanSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, 100081, Beijing, China.
La LiSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, 100081, Beijing, China. lali@bit.edu.cn.ORCID 0000-0001-7355-0407
Guozhen ShenSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, 100081, Beijing, China. gzshen@bit.edu.cn.ORCID 0000-0002-9755-1647

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The wearable contact lens that continuously monitors intraocular pressure (IOP) facilitates prompt and early-state medical treatments of oculopathies such as glaucoma, postoperative myopia, etc. However, either taking drugs for pre-treatment or delaying the treatment process in the absence of a neural feedback component cannot realize accurate diagnosis or effective treatment. Herein, a neuroprosthetic contact lens enabled sensorimotor system is reported, which consists of a smart contact lens with Ti

Indexed as

Contact LensesIntraocular PressurePoint-of-Care SystemsAnimalsFeedback, SensoryHumansMonitoring, PhysiologicNeural ProsthesesRabbitsRatsWearable Electronic Devices

Identifiers

PMID38965218
PMCPMC11224243

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.