Evidence map›Paper›PMID 40261641›Full record

ReviewClinical and translational science2025

Unlocking the Mysteries of Rare Disease Drug Development: A Beginner's Guide for Clinical Pharmacologists.

Mariam A Ahmed, Bilal AbuAsal, Jeffrey S Barrett, Karim Azer, Yuen Yi Hon, Salwa Albusaysi, Elizabeth Shang, Meng Wang, Maria Burian, Noha Rayad

Abstract readReview
In one paragraph

Review in Clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Observational
  3. Review
  4. 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

10 authors.

Mariam A AhmedTakeda Pharmaceuticals, Cambridge, MA, USA.ORCID 0000-0002-1229-7353
Bilal AbuAsalBoehringer Ingelheim, Ridgefield, CT, USA.
Jeffrey S BarrettAridhia Bioinformatics, Glasgow, UK.ORCID 0000-0003-0879-1743
Karim AzerNovartis, Cambridge, MA, USA.
Yuen Yi HonUS Food and Drug Administration, Silver Spring, Maryland, USA.ORCID 0000-0002-6395-1087
Salwa AlbusaysiDepartment of Pharmaceutics, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID 0009-0005-7867-2936
Elizabeth ShangMerck & Co., Inc., Rahway, New Jersey, USA.
Meng WangUS Food and Drug Administration, Silver Spring, Maryland, USA.
Maria BurianiGenePharma Consulting, Stolberg, Germany.ORCID 0009-0008-0086-0592
Noha RayadAlexion, AstraZeneca Rare Disease, Mississauga, Ontario, Canada.ORCID 0000-0002-6413-6359

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical pharmacologists face unique challenges when developing drugs for rare diseases. These conditions are characterized by small patient populations, diverse disease progression patterns, and a limited understanding of underlying pathophysiology. This tutorial serves as a comprehensive guide, offering practical insights and strategies to navigate its complexities. In this tutorial, we outline global regulatory incentives and resources available to support rare disease research, describe some considerations for designing a clinical development plan for rare diseases, and we highlight the role of biomarkers, real-world data, and modeling and simulations to navigate rare disease challenges. By leveraging these tools and understanding regulatory pathways, clinical pharmacologists can significantly contribute to advancing therapeutic options for rare diseases.

Indexed as

Drug DevelopmentOrphan Drug ProductionPharmacology, ClinicalRare DiseasesBiomarkersHumansBiomarkers

Identifiers

PMID40261641
PMCPMC12013510

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.