Evidence map›Paper›PMID 35559345›Full record

ArticleFrontiers in medicine2022

High-Intensity Use of Smartphone Can Significantly Increase the Diagnostic Rate and Severity of Dry Eye.

Chunyang Wang, Kelan Yuan, Yujie Mou, Yaying Wu, Xin Wang, Renjian Hu, Jinjin Min, Xiaodan Huang, Xiuming Jin

Abstract read
In one paragraph

Article 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. IL-23 Promotes γδT Cell Activity in Dry Eye Disease Progression.Investigative ophthalmology & visual science · 2025
    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.

Chunyang WangEye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Kelan YuanEye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yujie MouEye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yaying WuEye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Xin WangEye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Renjian HuEye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jinjin MinEye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Xiaodan HuangEye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Xiuming JinEye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the effects of high-intensity use of smartphones on ocular surface homeostasis and to explore whether high-intensity use of handheld digital devices can cause false increase of dry eye diagnostic rate. Methods: In this prospective self-control study, 60 subjects (120 eyes) were recruited and asked to read on smartphones provided by the same manufacturer for two consecutive hours. This study was conducted during 8:00 - 10:00 AM to eliminate the influence of digital equipment used the previous day. Ophthalmological examinations [non-invasive tear breakup time (NIBUT), fluorescein breakup time (FBUT), Schirmer I test, corneal fluorescein staining (CFS), bulbar conjunctival redness and meibomian gland (MG) assessment] and a questionnaire survey were conducted before and after the reading test. Based on the collected data, the changes in ocular surface damage and subjective symptoms of the subjects were evaluated, and the differences in the diagnostic rate of dry eye before and after high-intensity use of smartphones were compared. Results: The diagnostic rate of dry eye was sharply increased (61.7% vs. 74.2%). The severity of dry eye also changed significantly, and the moderate and severe degree increased after reading (10% vs. 15%; 5% vs. 10.8%). The aggravated severity subjects had lower MG expressibility and more evident bulbar conjunctival redness compared to the non-aggravated severity subjects. After 2 h of continuous reading, NIBUT-First, NIBUT-Average and FBUT-Average were significantly decreased, while the proportion of BUT ≤ 5 s increased significantly. Non-invasive keratograph tear meniscus height(NIKTMH) decreased significantly compared to the baseline level, while the proportion of NIKTMH<0.20 mm increased significantly. No significant difference was observed in the Schirmer I test and CFS score between the two groups. Compared to the baseline, evident aggravation was observed in bulbar conjunctival redness. The Ocular Surface Disease Index (OSDI) was significantly higher than the baseline after the reading test. Conclusion: Diagnostic indicators related to dry eye are rapidly deteriorating after high-intensity smartphone use, especially those with lower MG expressibility and ocular redness. High-intensity smartphone use can increase the false positive rate of dry eye diagnosis by disturbing ocular surface homeostasis.

Indexed as

dry eyedry eye diagnosisdry eye severityocular surfacesmartphone

Identifiers

PMID35559345
PMCPMC9086534

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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.