Evidence map›Paper›PMID 37235087›Full record

ArticleLancet regional health. Americas2023

Marketing authorisation and pricing of FDA-approved cancer drugs in Brazil: a retrospective analysis.

Adriana M Ivama-Brummell, Fernanda L Marciniuk, Anita K Wagner, Claudia G S Osorio-de-Castro, Sabine Vogler, Elias Mossialos, Carla L Tavares-de-Andrade, Huseyin Naci

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  3. Review
  4. Review
  5. Article
  6. Trust Beyond Borders: European External Regulatory Influence on Access to Medicines.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2025
    Article
  7. Article
  8. Article
  9. Article
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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

8 authors.

Adriana M Ivama-BrummellDepartment of Health Policy, London School of Economics and Political Science, Cowdray House, Houghton Street, London, WC2A 2AE, United Kingdom.
Fernanda L MarciniukExecutive Secretariat of the Drug Market Regulation Chamber, Brazilian Health Regulatory Agency, SIA, Trecho 05, Área Especial 57, Brasília-DF CEP 71.205-050, Brazil.
Anita K WagnerDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401 East, Boston, MA, 02215, USA.
Claudia G S Osorio-de-CastroDepartment of Medicines Policy and Pharmaceutical Services, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rua Leopoldo Bulhões, 1480, sala 632, Manguinhos, Rio de Janeiro, RJ, 21041-210, Brazil.
Sabine VoglerWHO Collaborating Centre for Pharmaceutical Pricing and Reimbursement Policies, Pharmacoeconomics Department, Austrian National Public Health Institute, Stubenring 6, Vienna, 1010, Austria.
Elias MossialosDepartment of Health Policy, London School of Economics and Political Science, Cowdray House, Houghton Street, London, WC2A 2AE, United Kingdom.
Carla L Tavares-de-AndradeDepartment of Health Administration and Planning, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rua Leopoldo Bulhões, 1480, sala 727A, Manguinhos, Rio de Janeiro, RJ, 21041-210, Brazil.
Huseyin NaciDepartment of Health Policy, London School of Economics and Political Science, Cowdray House, Houghton Street, London, WC2A 2AE, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Most cancer drugs enter the US market first. US Food and Drug Administration (FDA) approvals of new cancer drugs may influence regulatory decisions in other settings. The study examined whether characteristics of available evidence at FDA approval influenced time-to-marketing authorisation (MA) in Brazil, and price differences between the two countries. Methods: All new FDA-approved cancer drugs from 2010 to 2019 were matched to drugs with MA and prices approved in Brazil by December 2020. Characteristics of main studies, availability of randomised controlled trials (RCTs), overall survival (OS) benefit, added therapeutic benefit, and prices were compared. Findings: Fifty-six FDA-approved cancer drugs with matching indications received a MA at the Brazilian Health Regulatory Agency (Anvisa) after a median of 522 days following US approval (IQR: 351-932). Earlier authorisation in Brazil was associated with availability of RCT (median: 506 vs 760 days, p = 0.031) and evidence of OS benefit (390 vs 543 days, p = 0.019) at FDA approval. At Brazilian marketing authorisation, a greater proportion of cancer drugs had main RCTs (75% vs 60.7%) and OS benefit (42.9% vs 21.4%) than that in the US. Twenty-eight (50%) drugs did not demonstrate added therapeutic benefit over drugs for the same indication in Brazil. Median approved prices of new cancer drugs were 12.9% lower in Brazil compared to the US (adjusted by Purchasing Power Parity). However, for drugs with added therapeutic benefit median prices were 5.9% higher in Brazil compared to the US, while 17.9% lower for those without added benefit. Interpretation: High-quality clinical evidence accelerated the availability of cancer medicines in Brazil. The combination of marketing and pricing authorisation in Brazil may favour the approval of cancer drugs with better supporting evidence, and more meaningful clinical benefit albeit with variable degree of success in achieving lower prices compared to the US. Funding: None.

Indexed as

BrazilCancerDrug legislationHealth technology assessmentPharmaceutical preparationsUnited States

Identifiers

PMID37235087
PMCPMC10206192

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.