Evidence map›Paper›PMID 38707205›Full record

ArticleNational science review2024

Displacement-pressure biparametrically regulated softness sensory system for intraocular pressure monitoring.

Yu Cheng, Yifei Zhan, Fangyi Guan, Junli Shi, Jingxiao Wang, Yi Sun, Muhammad Zubair, Cunjiang Yu, Chuan Fei Guo

Abstract read
In one paragraph

Article in National science review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Ion-Pair-Tuned Ionogels for Broad-Range Linear Pressure Sensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Review
  5. 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

9 authors.

Yu ChengDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Yifei ZhanDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Fangyi GuanDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Junli ShiDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Jingxiao WangDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Yi SunDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Muhammad ZubairDepartment of Engineering Science and Mechanics, Pennsylvania State University, State College 16802, USA.
Cunjiang YuDepartment of Engineering Science and Mechanics, Pennsylvania State University, State College 16802, USA.
Chuan Fei GuoDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.ORCID https://orcid.org/0000-0003-4513-3117

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High intraocular pressure (IOP) is one of the high-risk pathogenic factors of glaucoma. Existing methods of IOP measurement are based on the direct interaction with the cornea. Commercial ophthalmic tonometers based on snapshot measurements are expensive, bulky, and their operation requires trained personnel. Theranostic contact lenses are easy to use, but they may block vision and cause infection. Here, we report a sensory system for IOP assessment that uses a soft indentor with two asymmetrically deployed iontronic flexible pressure sensors to interact with the eyelid-eyeball in an eye-closed situation. Inspired by human fingertip assessment of softness, the sensory system extracts displacement-pressure information for soft evaluation, achieving high accuracy IOP monitoring (>96%). We further design and custom-make a portable and wearable ophthalmic tonometer based on the sensory system and demonstrate its high efficacy in IOP screening. This sensory system paves a way towards cost-effective, robust, and reliable IOP monitoring.

Indexed as

deep learningintraocular pressureiontronic sensorsoftnesstonometer

Identifiers

PMID38707205
PMCPMC11067962

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LicenceCC BY
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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.