Evidence map›Paper›PMID 21789110›Full record

ArticleTherapeutic advances in medical oncology2009

Systemic therapy for advanced renal cell carcinoma.

James M G Larkin, Emma L S Kipps, Ceri J Powell, Charles Swanton

Open access · bronzeAbstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. 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

4 authors at 2 institutions in 1 country.

James M G LarkinDepartment of Medicine, Royal Marsden Hospital, London SW3 6JJ, UK.
Emma L S Kipps
Ceri J Powell
Charles Swanton
Royal Marsden Hospital · GBThe Honourable Society of Lincoln's Inn · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma (RCC) accounts for approximately 3% of all cancers and is refractory to cytotoxic chemotherapy - immunotherapy has until recently been the standard of care for advanced disease. Randomised trials reported in the last 5 years have demonstrated that a number of agents including the monoclonal antibody, bevacizumab, and the kinase inhibitors - sorafenib sunitinib, temsirolimus and everolimus - are active in advanced RCC. Bevacizumab is directed against the vascular endothelial growth factor (VEGF), a key mediator of angiogenesis, whilst sorafenib and sunitinib inhibit a number of targets including the VEGF and platelet-derived growth factor (PDGFR) receptor tyrosine kinases. Temsirolimus and everolimus inhibit the intracellular mammalian target of rapamycin (mTOR) kinase. Sunitinib and temsirolimus have demonstrated efficacy in comparison with immunotherapy in the first-line setting in patients with favourable and poor prognosis advanced disease respectively. In the second-line setting, everolimus has shown benefit over placebo in patients who progress following treatment with a VEGF receptor tyrosine kinase inhibitor and sorafenib has demonstrated efficacy in comparison with placebo in patients with immunotherapy-refractory disease. We review here recent clinical trial data and discuss future developments in the systemic treatment of RCC including combination and sequential therapy, adjuvant therapy, the role of biomarkers and the prospects for the development of rational mechanism-directed therapy in this disease.

Indexed as

bevacizumabeverolimusrenal cell carcinomasorafenibsunitinibtemsirolimus

Identifiers

PMID21789110
PMCPMC3125990
OpenAlexW2152456993

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.