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Data · dataset · 2025

Pediatric-onset rare disease therapy pipeline

Listed in Teesside University Research Data Repository

Supporting data for Young CM, Phares SE, Kenney A, Sullivan J, McGowan B, Trusheim MR, "Pediatric-onset rare disease therapy pipeline yields hope for some and gaps for many: 10-year projection of approvals, treated patients, and list price revenues", Journal of Managed Care + Specialty Pharmacy.

Description

This data is described in detail in the Technical Appendix. Supplementary File S1 contains the technical appendix describing the functional structure of the forecasting model a bibliography organized by disease and, within diseases, by antigen or gene.

Supplementary File S2 contains examples of code (mostly SQL) used to extract and process data from the Clinical Trials Transformation Initiative's database for Aggregate Analysis of ClinicalTrials.gov (AACT). (AACT is a dynamic entity and was substantially changed on November 15, 2021.) Supplementary File S3 contains participant inclusion and exclusion criteria for clinical trials in our sample. Supplementary File S2 is an Excel workbook containing the clinical trials data used in the Markov Chain analysis, modalities, delivery vectors, targeted discriminators for each disease, trial success rates and totals of completed trials by phase and modality, peak penetration and years to peak for indication/modality/discriminator groups, modality level data, basic epidemiological data, and empirical probability density functions for months-in-phase for completed.

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Supplementary File S3 contains a bibliography organized by disease and, within diseases, by antigen or gene.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Disease 75%
Provenance · 1 source records, 14 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/d49cytrdcw.14 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[disease].local:disease:diseaseenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].anzsrc:field:380108mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Health Economics']
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