Evidence map›Paper›PMID 27713636›Full record

ReviewOncoTargets and therapy2016

Clinical use of cabozantinib in the treatment of advanced kidney cancer: efficacy, safety, and patient selection.

Steven S Yu, David I Quinn, Tanya B Dorff

Abstract readReview
In one paragraph

Review in OncoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
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  14. Article
  15. Review
  16. Cabozantinib as first-line treatment in advanced renal cell carcinoma: a profile of its use.Drugs & therapy perspectives : for rational drug selection and use · 2018
    Article
  17. Article
  18. Review
  19. Article
  20. The Diagnostic Value of FNDC5/Irisin in Renal Cell Cancer.International braz j urol : official journal of the Brazilian Society of Urology
    Article
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

3 authors.

Steven S YuDivision of Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA.
David I QuinnDivision of Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA.
Tanya B DorffDivision of Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clear cell (cc) renal cell carcinoma (RCC) is the most common type of cancer found in the kidney accounting for ~90% of all kidney cancers. In 2012, there were ~337,000 new cases of RCC diagnosed worldwide with an estimated 143,000 deaths, with the highest incidence and mortality in Western countries. Despite improvements in cancer control achieved with VEGF- and mTOR-targeted therapy for RCC, progression remains virtually universal and additional therapies are needed. The pivotal results of the METEOR trial led to cabozantinib's designation as a breakthrough drug by the US Food and Drug Administration and its approval for treatment of advanced RCC in 2016. Subsequent data from the CABOSUN trial, where caboxantinib is compared with sunitinib, will provide information on the relative activity of cabozantinib as first-line therapy for ccRCC. We review the development of cabozantinib in advanced RCC and its role in the treatment landscape for advanced RCC.

Indexed as

cabozantinibclear cell carcinomakidney cancerrenal cell carcinomatyrosine kinase inhibitor

Identifiers

PMID27713636
PMCPMC5045229

What OpenQuestion holds

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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.