Evidence map›Paper›PMID 33488065›Full record

ReviewClinical ophthalmology (Auckland, N.Z.)2021

Trends in Dry Eye Disease Management Worldwide.

Mohamed Mostafa Hantera

Abstract readReview
In one paragraph

Review in Clinical ophthalmology (Auckland, N.Z.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Oral Intake ofBiomedicines · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. 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

1 author.

Mohamed Mostafa HanteraDepartment of Ophthalmology, Umm AL Qura University, Jeddah, Saudi Arabia.ORCID 0000-0002-8389-3953

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dry eye disease (DED) is a condition frequently encountered in ophthalmology practice worldwide. The purpose of this literature review is to highlight the worldwide trends in DED diagnosis and therapy amongst practitioners and determine if a more uniform approach to manage this multifactorial condition has developed over the past two decades. A manual literature search utilizing PubMed was conducted to obtain papers with survey results relating to ophthalmology and optometry diagnosis and treatment of dry eye from January 2000 to January 2020. This did not include data from clinical trials as we were only interested in community clinical practice trends. The terms "dry eye" and "survey" were searched in combination with one or more of the following words or phrases: prevalence, diagnosis, treatment, therapy, etiology, risk factors, therapy, and quality of life. Papers were selected based on their direct applicability to the subject and were only included if they contained relevant survey data from community practitioners. The available literature suggests common trends worldwide in the diagnosis and treatment of DED. These trends have not modified substantially over the past two decades. Practitioner education on the benefits of measuring tear film homeostasis could increase its use as a diagnostic tool to complement current tools. Of the results found, 75% of the papers were published after 2006 and only one paper after 2017. More recent survey results are required to determine if research into DED pathophysiology is altering the current trend in DED management.

Indexed as

dry eye diseaseetiologyprevalencesurveytherapy

Identifiers

PMID33488065
PMCPMC7814230

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.