Evidence map›Paper›PMID 38388873›Full record

ReviewDrugs2024

Capivasertib: First Approval.

Matt Shirley

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Drugs, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
14.7field-weighted citation impact, top 1% of its field
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

26 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
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  6. Article
  7. Review
  8. Article
  9. EGFR-targeted tyrosine kinase inhibitors: advancements in cancer therapy.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. International journal of molecular sciences · 2025
    Review
  20. 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

1 author at 1 institution in 1 country.

Matt ShirleySpringer Nature, Mairangi Bay, Private Bag 65901, Auckland, 0754, New Zealand. dru@adis.com.
Springer Nature (New Zealand) · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Capivasertib (Truqap™) is an orally available, small-molecule pan-AKT inhibitor being developed by AstraZeneca for the treatment of various cancers, including breast and prostate cancers. Capivasertib received its first approval, in the USA, in November 2023 for use in combination with fulvestrant for the treatment of adult patients with hormone receptor (HR)-positive, human epidermal growth factor 2 (HER2)-negative, locally advanced or metastatic breast cancer with one or more PIK3CA/AKT1/PTEN-alterations following progression on at least one endocrine-based regimen in the metastatic setting or recurrence on or within 12 months of completing adjuvant therapy. Capivasertib is also under regulatory review for HR-positive, HER2-negative breast cancer in the EU and several other countries, and in phase III clinical development for use (in combination with other anti-cancer agents) in the treatment of triple-negative breast cancer, castration-resistant prostate cancer, and hormone-sensitive prostate cancer. This article summarizes the milestones in the development of capivasertib leading to this first approval for HR-positive, HER2-negative, locally advanced or metastatic breast cancer.

Indexed as

Breast NeoplasmsPyrrolesTriple Negative Breast NeoplasmsAdultAntineoplastic Combined Chemotherapy ProtocolsErb-b2 Receptor Tyrosine KinasesFemaleFulvestrantHumansPyrimidinescapivasertibErb-b2 Receptor Tyrosine KinasesFulvestrantPyrimidinesPyrroles

Identifiers

PMID38388873
OpenAlexW4392773703

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.