Evidence map›Paper›PMID 37680284›Full record

ArticleJournal of current ophthalmology

Off-Label Uses of Ranibizumab and Aflibercept for Age-Related Macular Degeneration in Turkey.

Mevlut Yilmaz, Mehmet Citirik, Hanife Rahmanlar, Ali Alkan, Hakki Gursoz

Open access · diamondAbstract read
In one paragraph

Article in Journal of current ophthalmology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Mevlut YilmazDepartment of Ophthalmology, Etlik City Hospital, University of Health Sciences, Ankara, Turkey.
Mehmet CitirikDepartment of Ophthalmology, Etlik City Hospital, University of Health Sciences, Ankara, Turkey.
Hanife RahmanlarTurkish Medicines and Medical Devices Agency, Turkish Ministry of Health, Ankara, Turkey.
Ali AlkanTurkish Medicines and Medical Devices Agency, Turkish Ministry of Health, Ankara, Turkey.
Hakki GursozTurkish Medicines and Medical Devices Agency, Turkish Ministry of Health, Ankara, Turkey.
Ministry of Health · TRSağlık Bilimleri Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the clinical and demographic aspects of off-label drug use applications for age-related macular degeneration (AMD) in Turkey. Methods: Applications for off-label drug use in the treatment of AMD to the Turkish Medicines and Medical Devices Agency (TITCK) in 2018 were retrospectively analyzed. Demographic characteristics, requested drugs, previous treatment regimens, and reasons for applications were evaluated. Results: The mean age of the patients ( Conclusions: Ranibizumab was the most requested off-label drug for AMD. There was no application for off-label bevacizumab since its use does not require approval from TITCK. In Turkey, new rules were established for the reimbursement of intravitreal drugs for AMD in 2019. Three doses of intravitreal bevacizumab were required initially for aflibercept and ranibizumab to be covered for reimbursement. There is not enough data in the English literature regarding the off-label use of ranibizumab and aflibercept for AMD. This study provides information about drug regulations and the off-label treatment options preferred by physicians for AMD in Turkey.

Indexed as

AfliberceptAge-related macular degenerationIntravitreal injectionOff-label drugRanibizumab

Identifiers

PMID37680284
PMCPMC10481980
OpenAlexW4386529578

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.