Evidence map›Paper›PMID 42307894›Full record

ArticleTherapeutic innovation & regulatory science2026

Quantifying Market Trajectories: A Study of Pharmaceutical Sales Uptake Curves and Related Parameters.

Irwin Tendler, Shomesh Chaudhuri, Chinmay Shukla, Neil Kumar, Andrew Lo

Abstract read
In one paragraph

Article in Therapeutic innovation & regulatory science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Irwin Tendler *BridgeBio (United States), Palo Alto, USA.
Shomesh Chaudhuri *QLS Advisors, Cambridge, MA, USA.
Chinmay ShuklaBridgeBio (United States), Palo Alto, USA.
Neil KumarBridgeBio (United States), Palo Alto, USA.
Andrew LoQLS Advisors, Cambridge, MA, USA. alo@mit.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study provides a comprehensive view of the dynamics of pharmaceutical sales trajectories within the United States market, drawing from extensive historical sales data covering 391 product launches from January 1, 2000 to December 31, 2023. We analyze key performance metrics including, but not limited to, peak annual sales volumes, time-to-peak measurements, and annual growth rates. In addition, we provide detailed segmentation analysis across multiple dimensions, including therapeutic areas, treatment modalities, company profiles, and regulatory designations. To our knowledge, in comparison to the published literature, our analysis constitutes the most systematically stratified survey of US pharmaceutical sales trajectories. Our analysis demonstrates significant variability in sales uptake patterns and highlights factors such as therapeutic context, modality type, sponsor characteristics, and regulatory pathways that influence these dynamics. The findings provide novel quantitative benchmarks and practical insights for biopharmaceutical forecasting and strategic decision-making.

Indexed as

CommerceDrug IndustryHumansUnited States

Identifiers

PMID42307894
PMCPMC13525948

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.