Evidence map›Paper›PMID 30046523›Full record

ArticleInternational journal of ophthalmology2018

Evaluation of artificial tears on cornea epithelium healing.

Ying Zhang, Xiao-You Lu, Ren-Jian Hu, Fang-Li Fan, Xiu-Ming Jin

Open access · goldAbstract read
In one paragraph

Article in International journal of ophthalmology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 17% of its field
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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Cat Inflicted Eye Injury in a Child.Journal of medical cases · 2021
    Article
  7. Article
  8. 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 at 2 institutions in 1 country.

Ying ZhangEye Center, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang Province, China.
Xiao-You LuDepartment of Ophthalmology, Zhejiang Xiaoshan Hospital, Hangzhou 310000, Zhejiang Province, China.
Ren-Jian HuEye Center, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang Province, China.
Fang-Li FanEye Center, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang Province, China.
Xiu-Ming JinEye Center, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang Province, China.
Second Affiliated Hospital of Zhejiang University · CNThe First People's Hospital of Xiaoshan District, Hangzhou · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo observe the efficacy of different artificial eye drops on corneal epithelium healing in rabbit.

methodsThirty-five rabbits with 6 mm diameter central corneal epithelium removed were randomly assigned to six groups: 0.9% normal saline (NS) group, 0.1% hyaluronate (HA) group, 0.3% HA group, Tears Naturale Free

resultsAll corneal wounds completely re-epithelialized in less than 72h. The average re-epithelialization time was 47.61±4.25h in the 0.3% HA group and 49.72±1.05h in the 0.9% NS group, followed by 0.1% HA, TNF, 0.4% PEG, 0.5% CMC, and lastly by the control group. Compared to the control group, there were significant differences among 0.3% HA, 0.9% NS, PEG, and TNF (

conclusionArtificial tears promote corneal re-epithelium varied in the efficacy. Obviously, all artificial eye drops better than blank group. In the process of corneal healing, corneal epithelium cells suffered from hypoxia caused by NS.

Indexed as

artificial tearscorneahealingrabbitre-epithelializationvesicles

Identifiers

PMID30046523
PMCPMC6048335
OpenAlexW2891525156

What OpenQuestion holds

Textmetadata
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.