Evidence map›Paper›PMID 34348017›Full record

ReviewCritical reviews in therapeutic drug carrier systems2021

Role of In Vitro Models for Development of Ophthalmic Delivery Systems.

Shallu Kutlehria, Mandip Singh Sachdeva

Open access · greenAbstract readReview
In one paragraph

Review in Critical reviews in therapeutic drug carrier systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Tissue Engineering and Ophthalmology.Turkish journal of ophthalmology · 2024
    Review
  7. Article
  8. Article
  9. Review
  10. 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 at 1 institution in 1 country.

Shallu KutlehriaCollege of Pharmacy and Pharmaceutical Sciences, Florida A&M University, Tallahassee, FL, USA.
Mandip Singh SachdevaCollege of Pharmacy and Pharmaceutical Sciences, Florida A&M University, Tallahassee, FL 32307, USA.
Florida Agricultural and Mechanical University · US

Funding

Research Project-3: Effectiveness of an eHealth intervention for uptake of cervical cancer screening in Hispanic womenU54MD007582 · NIMHD · FLORIDA AGRICULTURAL AND MECHANICAL UNIV · PI Sandra G Suther · 2019 to 2026
$28.1M
NIMHD NIH HHS U54 MD007582
6 · The paper itself

Abstract

There is emergent need for in vitro models which are physiologically correct, easy to reproduce, and mimic characteristic functionalities of desired tissue, organ, or diseases state for ophthalmic drug screening, as well as disease modeling. To date, a variety of in vitro models have been developed for the applications ranging from 2D cell culture-based monolayers, multilayer, or co-culture models, to 3-dimensional (3D) organoids, 3D printed and organ on chip systems. Each model has its own pros and cons. While simple models are easier to create, and faster to reproduce, they lack recapitulation of the complex framework, functionalities, and properties of tissues or their subunits. Recent advancements in technologies and integration with tissue engineering and involvement of microfluidic systems have offered novel platforms which can better mimic the in vivo microenvironment, thus possessing potential in transformation of ophthalmic drug development. In this review we summarize existing in vitro ocular models while discussing applicability, drawbacks associated with them, and possible future applications.

Indexed as

OrganoidsTissue EngineeringCell Culture TechniquesEyeMicrofluidics

Identifiers

PMID34348017
PMCPMC8694856
OpenAlexW3128732342

What OpenQuestion holds

Textmetadata
LicenceTDM
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.