Evidence map›Paper›PMID 37140724›Full record

ReviewJournal of pharmacokinetics and pharmacodynamics2023

Achieving big with small: quantitative clinical pharmacology tools for drug development in pediatric rare diseases.

Mariam A Ahmed, Janelle Burnham, Gaurav Dwivedi, Bilal AbuAsal

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of pharmacokinetics and pharmacodynamics, 2023. 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
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.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Clinical pharmacology-how it shapes the drug development journey.European journal of clinical pharmacology · 2025
    Review
  7. Review
  8. Article
  9. 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

4 authors.

Mariam A AhmedTakeda Development Center Americas Inc, 125 Binney St, Cambridge, MA, 02142-1123, USA. mariam.ahmed@takeda.com.ORCID 0000-0002-1229-7353
Janelle BurnhamPfizer Inc, 235 East 42nd Street, New York, NY, 10017, USA.
Gaurav DwivediTakeda Development Center Americas Inc, 125 Binney St, Cambridge, MA, 02142-1123, USA.
Bilal AbuAsalUS Food and Drug Administration, 10903, New Hampshire Ave, Silver Spring, MD, 20993, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric populations represent a major fraction of rare diseases and compound the intrinsic challenges of pediatric drug development and drug development for rare diseases. The intertwined complexities of pediatric and rare disease populations impose unique challenges to clinical pharmacologists and require integration of novel clinical pharmacology and quantitative tools to overcome multiple hurdles during the discovery and development of new therapies. Drug development strategies for pediatric rare diseases continue to evolve to meet the inherent challenges and produce new medicines. Advances in quantitative clinical pharmacology research have been a key component in advancing pediatric rare disease research to accelerate drug development and inform regulatory decisions. This article will discuss the evolution of the regulatory landscape in pediatric rare diseases, the challenges encountered during the design of rare disease drug development programs and will highlight the use of innovative tools and potential solutions for future development programs.

Indexed as

PharmacologyPharmacology, ClinicalPhysiciansChildDrug DevelopmentHumansRare DiseasesClinical pharmacologyModel-informed drug developmentPediatricRare diseasesRegulatory

Identifiers

What OpenQuestion holds

Textmetadata
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.