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Targeted therapy for advanced renal cell cancer (RCC): a Cochrane systematic review of published randomised trials

2011· review· en· W2166010840 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBritish Journal of Urology · 2011
Typereview
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsTemsirolimusPazopanibMedicineSunitinibAxitinibOncologyInternal medicineBevacizumabSorafenibEverolimusClinical trialRenal cell carcinomaDiscovery and development of mTOR inhibitorsPI3K/AKT/mTOR pathwayChemotherapyHepatocellular carcinoma

Abstract

fetched live from OpenAlex

OBJECTIVE: To estimate the effects of drugs with molecular targets on patients with advanced renal cell cancer (RCC). PATIENTS AND METHODS: MEDLINE, EMBASE, and the Cochrane Collaboration Library were systematically searched on-line through to June 2011 to identify eligible randomised trials. We also searched abstract reports from major oncology and urology meetings. We included randomised trials that tested a targeted agent and reported at least one outcome by allocation on an intent-to-treat basis. Completeness of ascertainment and risk of bias were assessed. Our primary outcome was progression-free survival (PFS). RESULTS: In all, 28 studies met our inclusion criteria and 10 were placebo-controlled. Two studies were too small to assess, and five early studies used nonspecific anti-angiogenic agents with poor activity. In all, 15 studies, in 5587 patients, tested anti-vascular epithelial growth factor (VEGF) agents: bevacizumab (BEV), sorafenib, sunitinib, pazopanib, tivozanib, or axitinib. Three studies, in 1147 patients, tested the mammalian target of rapamycin (mTOR) inhibitors, temsirolimus or everolimus. Two studies included epidermal growth factor receptor (EGFR) inhibitors, and one tested the combination of temsirolimus plus BEV. In treatment-naive patients with mostly good-moderate prognostic risk, in separate trials oral sunitinib (one trial) and intravenous BEV plus subcutaneousinterferon-α (two trials) improved PFS compared with the previous standard of care interferon-α within randomised phase III trials. Sorafenib did not improve PFS over interferon-α in the first-line setting and the addition of cytokines did not improve sorafenib efficacy. In poor-risk patients, the mTOR inhibitor temsirolimus improved PFS and overall survival (OS). The studies of other VEGF inhibitors have used placebo controls no longer appropriate in this setting, although pazopanib is an approved option. Several trials examined agents in the second-line setting. After cytokine therapy, sorafenib (one study) and pazopanib (one study) prolonged PFS over placebo. A preliminary report of the investigational VEGF receptorinhibitor axitinib gave superior PFS to sorafenib after either prior cytokine or prior sunitinib treatment. After cancer progression ≤6 months of sunitinib and/or sorafenib therapy, everolimusprolonged PFS. OS was marginally improved in several studies. A more substantial effect on OS may have been diluted by crossover from control therapy to the investigational arm and/or by other anti-angiogenic agents after trial closure. Patient-reported outcomes were considered unreliable in trials without 'blinding'. A clear cell RCC (ccRCC) component was required for most trials, and information for non-ccRCCs is consequently limited CONCLUSIONS: Agents targeting VEGF and mTOR pathways improve PFS in both first-line and second-line settings. These treatments rarely yield complete responses and thus are not curative. No placebo-controlled trial has reported a health-related quality of life benefit.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.151
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0190.005
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.355
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it