Evidence map›Paper›PMID 39511518›Full record

SynthesisBMC ophthalmology2024

Meta-analysis of visual fatigue based on visual display terminals.

Gaofeng Wang, Yanru Cui

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Gaofeng WangOphthalmology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250011, China. gaofeng5303@126.com.
Yanru CuiWeifang Eye Hospital, Qingdao District, Qingdao, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to explore the impact of using visual display terminal (VDT) on the visual fatigue of operators through meta-analysis.

methodsThe terms "VDT", "visual fatigue", "eyestrain", and "viewing distance" were selected from the Wangfang, China National Knowledge Infrastructure (CNKI), Web of Science, Springer, and Science Direct online databases. The retrieval time was from the establishment of the database to the present. All clinical studies related to the analysis of the effects of VDT use on visual fatigue were available. The included studies were screened, and after quality assessment, basic data and outcome index data were extracted. The count data were represented by relative risk (RR) and 95% confidence interval (CI). The measurement data were represented by the mean value (MD), standard deviation (SD), and 95% CI. Review Manager 5.3 (RevMan5.3) was employed to analyze the included indicators. Funnel plots were drawn using RevMan5.3 to analyze potential publication bias. The incidence of visual fatigue, lens use time, blink interval, and other indicators were compared between the VDT group and the control (Ctrl) group. Meanwhile, the incidence of eye fatigue and blurred vision in the two groups was counted.

resultThe incidence of eye pain, fatigue, blurred vision, teary eyes, and dry eyes in the VDT group significantly exceeded that in the Ctrl group. Meanwhile, the dry eye score, as well as the scores for eye fatigue, discomfort, and blurred vision, were significantly higher in the VDT group compared to the Ctrl group.

conclusionsThe results indicate that the use of VDT has a significant impact on visual fatigue.

Indexed as

AsthenopiaComputer TerminalsHumansIncidenceOccupational DiseasesVision DisordersMeta-analysisPrognosis assessmentVisual display terminalVisual fatigue

Identifiers

PMID39511518
PMCPMC11542469

What OpenQuestion holds

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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.