Evidence map›Paper›PMID 35006587›Full record

ArticleTherapeutic innovation & regulatory science2022

Extrapolation as a Default Strategy in Pediatric Drug Development.

Margaret Gamalo, Christina Bucci-Rechtweg, Robert M Nelson, Linh Vanh, Ariel Porcalla, Helen Thackray, Freda Cooner, Lauren Cutler, Danielle Friend, Ron Portman

Abstract read
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In one paragraph

Article 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Our Hopes forJAACAP open · 2023
    Article
  5. The Role of Master Protocols in Pediatric Drug Development.Therapeutic innovation & regulatory science · 2022
    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.

Margaret GamaloGlobal Biometrics and Data Management - GPD I&I Statistics, 500 Arcola Rd, Collegeville, PA, 19426, USA. margaret.gamalo@pfizer.com.ORCID http://orcid.org/0000-0003-2428-3298
Christina Bucci-RechtwegGlobal Head for Pediatric and Maternal Health Policy, Novartis Pharmaceuticals, 1 Health Plaza, East Hanover, NJ, 07936, USA.
Robert M NelsonPediatric Drug Development, Johnson & Johnson, 1400 McKean Rd, Lower Gwynedd Township, Spring House, PA, 19002, USA.
Linh VanhBiostatistical Science and Pharmacometrics, Novartis Pharmaceutical, 250 Massachusetts Ave, Cambridge, MA, 02139, USA.
Ariel PorcallaPharmacovigilance and Patient Safety, AbbVie, Inc, Bldg 51-2nd floor, 1 North Waukegan Road, North Chicago, IL, 60064, USA.
Helen ThackrayBioCryst Pharmaceuticals, 4505 Emperor Blvd., Suite 200., Durham, NC, 27703, USA.
Freda CoonerGlobal Biostatistical Science, 1 Amgen Center Dr, Thousand Oaks, CA, 91320, USA.
Lauren CutlerRegulatory Affairs, Seagen, 30th Drive S.E., Bothell, WA, 98021, USA.
Danielle FriendScience and Regulatory Policy, Biotechnology Innovation Organization, 1201 Maryland Ave SW, Washington, DC, 20024, USA.
Ron PortmanPediatric Therapeutic Area, Novartis Pharmaceutical, 250 Massachusetts Ave, Cambridge, MA, 02139, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric drug development lags adult development by about 8 years (Mulugeta et al. in Pediatr Clin 64(6):1185-1196, 2017). In such context, many incentives, regulations, and innovative techniques have been proposed to address the disparity for pediatric patients. One such strategy is extrapolation of efficacy from a reference population. Extrapolation is currently justified by providing evidence in support of the effective use of drugs in children when the course of the disease and the expected treatment response would be sufficiently similar in the pediatric and reference population. This paper's position is that, despite uncertainties, pediatric drug development programs should initially assume some degree of extrapolation. The degree to which extrapolation can be used lies along a continuum representing the uncertainties to be addressed through generation of new pediatric evidence. In addressing these uncertainties, the extrapolation strategy should reflect the level of tolerable uncertainty concerning the decision to expose a child to the risks of a new drug. This judgment about the level of tolerable uncertainty should vary with the context (e.g., disease severity, existing therapeutic options) and can be embedded into pediatric drug development archetypes to ascertain the extent of studies needed and whether simultaneous development for adults and adolescents be considered.

Indexed as

Drug DevelopmentAdolescentChildHumansPediatricsExtrapolationPediatric drug developmentPediatric regulationsTreatment landscape archetypes

Identifiers

PMID35006587

What OpenQuestion holds

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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.