Evidence map›Paper›PMID 35471560›Full record

ReviewTherapeutic innovation & regulatory science2022

Accelerating the Availability of Medications to Pediatric Patients by Optimizing the Use of Extrapolation of Efficacy.

Allison Dunn, Dawoon Jung, Lisa L Bollinger, Michael Krams, Brian P Smith, Jogarao V S Gobburu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Therapeutic innovation & regulatory science, 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Allison DunnCenter for Translational Medicine, University of Maryland School of Pharmacy, 20 North Pine Street, Baltimore, MD, 21201, USA.
Dawoon JungCenter for Translational Medicine, University of Maryland School of Pharmacy, 20 North Pine Street, Baltimore, MD, 21201, USA.
Lisa L BollingerMerck, Rahway, NJ, USA.
Michael KramsJanssen Research & Development, Spring House, PA, USA.
Brian P SmithEarly Development Analytics, Novartis Institutes of Biomedical Research, Cambridge, MA, USA.
Jogarao V S GobburuCenter for Translational Medicine, University of Maryland School of Pharmacy, 20 North Pine Street, Baltimore, MD, 21201, USA. jgobburu@rx.umaryland.edu.ORCID http://orcid.org/0000-0002-8348-4295

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving pediatric therapeutic development is a mission of universal importance among health authorities, pharmaceutical companies, academic institutions, and healthcare professionals. Following the passage of legislation in the United States and Europe, we witnessed the most significant advancement yet in pediatric data generation, resulting in added pediatric use information to almost 700 product labels. Tools to accelerate generation of data for the pediatric population are available for use today, and when utilized in accordance with current practices and laws, these tools could increase the amount and timeliness of pediatric information available for clinicians and patients. If we utilize the current laws that allow regulators to incentivize and require evidence generation, apply extrapolation, and utilize modeling and simulation, as well as including adolescents in the pivotal studies alongside adults as appropriate, two strategic goals could be achieved by 2030: (1) reduce the time to pediatric approval by 50%, and (2) renew pediatric labeling information for 15 priority pediatric drugs without patent and/or exclusivity.

Indexed as

Pharmaceutical PreparationsAdolescentAdultChildEuropeHumansUnited StatesPharmaceutical PreparationsExtrapolation of efficacyPediatric patients

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.