Evidence map›Paper›PMID 39272632›Full record

ArticleDiagnostics (Basel, Switzerland)2024

The Mid-Term Effect of Preservative-Free Artificial Tears Containing Hyaluronic Acid on Dry Eye Incidence after Cataract Surgery: A Retrospective Cohort Study.

Chia-Yi Lee, Shun-Fa Yang, Hung-Chi Chen, Ie-Bin Lian, Chin-Te Huang, Jing-Yang Huang, Chao-Kai Chang

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 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. Hyaluronic Acid in Nanopharmaceuticals: An Overview.Current issues in molecular biology · 2024
    Review
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

7 authors.

Chia-Yi LeeInstitute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.ORCID 0000-0002-5719-0488
Shun-Fa YangInstitute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.ORCID 0000-0002-0365-7927
Hung-Chi ChenDepartment of Ophthalmology, Chang Gung Memorial Hospital, Linkou, Taoyuan 33305, Taiwan.ORCID 0000-0002-1117-7878
Ie-Bin LianInstitute of Statistical and Information Science, National Changhua University of Education, Chunghua 50007, Taiwan.ORCID 0000-0003-3992-6049
Chin-Te HuangDepartment of Ophthalmology, Chung Shan Medical University Hospital, Taichung 40201, Taiwan.ORCID 0000-0002-8494-7335
Jing-Yang HuangDepartment of Medical Research, Chung Shan Medical University Hospital, Taichung 40201, Taiwan.ORCID 0000-0002-0794-9388
Chao-Kai ChangNobel Eye Institute, Taipei 10041, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to survey the effectiveness of preservative-free artificial tears containing hyaluronic acid (HA) on post-cataract surgery dry eye disease (DED) prevention. A retrospective cohort study was performed, and patients that received cataract surgeries were divided into either an HA group or non-HA group depending on the artificial tear they used. A total of 37 and 74 eyes were enrolled into the HA and non-HA groups, respectively, after the selection. The primary outcomes are postoperative superficial keratitis and multiple (>3) DED symptoms. The generalized linear model was utilized to calculate the adjusted odds ratio (aOR) and 95% confidence interval (CI) of primary outcomes between the two groups. There were 10 and 2 episodes of superficial keratitis in the non-HA group and HA group, respectively, and the HA group demonstrated a significantly lower incidence of superficial keratitis (

Indexed as

cataract surgerydry eye diseasehyaluronic acidsuperficial keratitistear break-up time

Identifiers

PMID39272632
PMCPMC11393976

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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.