Evidence map›Paper›PMID 35173413›Full record

ReviewClinical ophthalmology (Auckland, N.Z.)2022

Practical Guidance for the Use of Loteprednol Etabonate Ophthalmic Suspension 0.25% in the Management of Dry Eye Disease.

Nandini Venkateswaran, Yandong Bian, Preeya K Gupta

Open access · goldAbstract readReview
In one paragraph

Review in Clinical ophthalmology (Auckland, N.Z.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact, top 98% 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

9 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. Review
  3. Quintessence of currently approved and upcoming treatments for dry eye disease.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
    Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Glaucoma and Dry Eye Disease: Opportunity to Assess and Treat.Clinical ophthalmology (Auckland, N.Z.) · 2023
    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

3 authors at 3 institutions in 1 country.

Nandini VenkateswaranMassachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA.
Yandong BianMassachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA.
Preeya K GuptaTriangle Eye Consultants, Cary, NC, USA.
Harvard University · USMassachusetts Eye and Ear Infirmary · USTriangle · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dry eye disease (DED) is a prevalent ocular surface disease. Like with any chronic disease, patients with DED can experience episodic flares. There are many existing and upcoming treatments for the chronic treatment of DED, yet treatments for DED flares are limited. Loteprednol etabonate 0.25% is an FDA approved treatment modality for the short-term treatment of the signs and symptoms of DED. This medication is formulated with the customized mucus-penetrating particle (MPP) technology, which has a greater ability to penetrate the ocular surface and more effectively deliver the active steroid to the ocular surface tissues as compared with conventional steroid preparations. There is also increasing utility of loteprednol etabonate 0.25% in the treatment of DED before and/or after cataract or refractive surgery or as induction therapy prior to starting chronic immunomodulatory medication for DED.

Indexed as

dry eye diseasedry eye disease flaresloteprednol etabonate 0.25%mucus penetrating particle technologyocular surface inflammation

Identifiers

PMID35173413
PMCPMC8843348
OpenAlexW4210828686

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.