Evidence map›Paper›PMID 36241954›Full record

ReviewPaediatric drugs2022

Innovations in Clinical Development in Rare Diseases of Children and Adults: Small Populations and/or Small Patients.

Robert A Beckman, Zoran Antonijevic, Mercedeh Ghadessi, Heng Xu, Cong Chen, Yi Liu, Rui Tang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Paediatric drugs, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 6 institutions in 1 country.

Robert A BeckmanDepartments of Oncology and of Biostatistics, Bioinformatics, and Biomathematics, Lombardi Comprehensive Cancer Center and Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC, USA. eniac1915@gmail.com.ORCID http://orcid.org/0000-0003-0098-9210
Zoran AntonijevicStatistical Consulting, Abond CRO, Allendale, MI, USA.
Mercedeh GhadessiData Science and Analytics, Bayer Pharmaceuticals US LLC, Whippany, NJ, USA.
Heng XuData Science and Systems, Nektar Therapeutics, San Francisco, CA, USA.
Cong ChenBiostatistics and Decision Research Science, Merck & Co., Inc., Kenilworth, NJ, USA.
Yi LiuData Science and Systems, Nektar Therapeutics, San Francisco, CA, USA.
Rui TangGlobal Biometrics Department, Clinical Development and R & D, Servier Pharmaceuticals, Boston, MA, USA.
Nektar Therapeutics (United States) · USBayer (United States) · USBoston University · USGeorgetown University · USMerck & Co., Inc., Rahway, NJ, USA (United States) · USStatistical Research (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many of the afflictions of children are rare diseases. This creates numerous drug development challenges related to small populations, including limited information about the disease state, enrollment challenges, and diminished incentives for pediatric development of novel therapies by pharmaceutical and biotechnology sponsors. We review selected innovations in clinical development that may partially mitigate some of these difficulties, starting with the concept of development efficiency for individual clinical trials, clinical programs (involving multiple trials for a single drug), and clinical portfolios of multiple drugs, and decision analysis as a tool to optimize efficiency. Development efficiency is defined as the ability to reach equally rigorous or more rigorous conclusions in less time, with fewer trial participants, or with fewer resources. We go on to discuss efficient methods for matching targeted therapies to biomarker-defined subgroups, methods for eliminating or reducing the need for natural history data to guide rare disease development, the use of basket trials to enhance efficiency by grouping multiple similar disease applications in a single clinical trial, and the use of alternative data sources including historical controls to augment or replace concurrent controls in clinical studies. Greater understanding and broader application of these methods could lead to improved therapies and/or more widespread and rapid access to novel therapies for rare diseases in both children and adults.

Indexed as

Drug DevelopmentRare DiseasesAdultBiomarkersChildHumansPharmaceutical PreparationsBiomarkersPharmaceutical Preparations

Identifiers

PMID36241954
OpenAlexW4306250143

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.