Evidence map›Paper›PMID 37638213›Full record

ArticleSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society2023

Cross-national comparative study of orphan drug policies in Saudi Arabia, the United States, and the European Union.

Bander Balkhi, Asma Almuaither, Saeed Alqahtani

Abstract read
In one paragraph

Article in Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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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.

Bander BalkhiDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Asma AlmuaitherCollege of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Saeed AlqahtaniDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rare diseases are chronic, serious, and life-threatening conditions that have not received sufficient attention from drug developers due to their rarity. Policies have been implemented to encourage research and incentivize the development of orphan drugs. However, the implementation of these policies has been inconsistent worldwide. Objective: The primary aim of this study was to compare orphan drug policies in the United States, Europe, and Saudi Arabia (SA) and assess their impact on the number of approved indications. Method: Lists of all drugs granted orphan designations and authorized for marketing in the United States, European Union, and SA were extracted using orphan drug lists available in regulatory body databases. The availability of these drugs, regarding their approval for orphan indication and designation, was assessed and classified using Anatomical Therapeutic Chemical codes. Result: A total of 792 orphan drug designations with at least one authorized indication were identified in this study. Of these, 92% were designated by the Food and Drug Administration (FDA), and 27% were designated by the European Medicine Agency (EMA). The FDA, EMA, and Saudi Food and Drug Authority approved 753, 435, and 253 orphan drugs, respectively. Conclusion: Fewer orphan drug approvals were found in SA than in the United States and Europe. This highlights the need to focus on rare diseases and orphan drugs and for policies to be created in SA to attract pharmaceutical markets and fulfill unmet orphan drug approval needs.

Indexed as

Drug policiesOrphan drugOrphan drug designationRare disease

Identifiers

PMID37638213
PMCPMC10458326

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Registered trials

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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.