ArticleBMC cancer2018
Real life patterns of care and progression free survival in metastatic renal cell carcinoma patients: retrospective analysis of cross-sectional data.
Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Treatments for renal cell carcinoma: NICE Pilot Treatment Pathways Appraisal.Health technology assessment (Winchester, England) · 2026Pooled it
- Patterns of treatment in first and subsequent lines in RCC in Spain. A real-world descriptive cross-sectional study.Future oncology (London, England) · 2025Observational
- Evaluating the prognostic role of glucose-to-lymphocyte ratio in patients with metastatic renal cell carcinoma treated with tyrosine kinase inhibitors in first line: a study by the Turkish Oncology Group Kidney Cancer Consortium (TKCC).Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Article
- Sequential treatment of metastatic renal cell carcinoma patients after first-line vascular endothelial growth factor targeted therapy in a real-world setting: epidemiologic, noninterventional, retrospective-prospective cohort multicentre study.Journal of cancer research and clinical oncology · 2023Article
- Temporal Trends in Grade 3/4 Adverse Events and Associated Costs of Nivolumab Plus Cabozantinib Versus Sunitinib for Previously Untreated Advanced Renal Cell Carcinoma.Clinical drug investigation · 2022Article
- Effects of early vs delayed progression on clinical and economic outcomes in patients with metastatic renal cell carcinoma treated with tyrosine kinase inhibitors as first-line therapy: results from the IMPACT RCC claims data analysis.Journal of managed care & specialty pharmacy · 2021Article
- Understanding Molecular Testing Uptake Across Tumor Types in Eight Countries: Results From a Multinational Cross-Sectional Survey.JCO oncology practice · 2020Article
- Prognostic Significance of Preoperative Inflammatory Biomarkers and Traditional Clinical Parameters in Patients with Spinal Metastasis from Clear Cell Renal Cell Carcinoma: A Retrospective Study of 95 Patients in a Single Center.Cancer management and research · 2020Article
- Article
- Economic Burden of Renal Cell Carcinoma-Part I: An Updated Review.PharmacoEconomics · 2019Review
- mRCC Outcome in the Treatment of Metastatic Renal Cell Carcinoma - A German Single-center Real-world Experience.In vivo (Athens, Greece)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatient characteristics and survival outcomes in randomized trials may be different from those in real-life clinical practice. The objective of this study was to describe treatment pathways, safety, drug costs and survival in patients with metastatic Renal Cell Carcinoma (mRCC) in a real world setting.
methodsA retrospective analysis was performed using IQVIA real world oncology cross-sectional survey data, a retrospective treatment database collecting anonymized patient-level data in Europe. Data on treatment naïve patients with mRCC who received a first-line targeted therapy in France were extracted for the period 2005-2015. Descriptive analyses were performed on treatment patterns, patient characteristics and safety profiles. Progression Free Survival (PFS) was determined using Kaplan-Meier survival analysis.
resultsOne thousand three hundred thirty-one patients with mRCC who received a first-line targeted therapy were included. The male/female sex ratio was 2.5 and 66% of patients were aged > 60 years. 83% of patients had clear cell adenocarcinoma. 83% of patients underwent a surgical procedure, 10% had radiotherapy. In patients who received a first-line targeted therapy, 73% received sunitinib. The mean time from diagnosis to first-line treatment by targeted therapies in patients initially diagnosed with metastatic disease was 3.3 months [95% CI:2.5-4.1]. In patients who received second-line targeted therapy n = 257 (19%), the most frequently observed treatment sequences were sunitinib-everolimus (33%) and sunitinib-sorafenib (27%). Adverse events data were available for 501 patients and adverse events were documented in 70% of patients, most frequently diarrhoea. The overall median PFS was 13 months [95% CI:11.5-16].
conclusionPatient characteristics were consistent with the literature. Treatment patterns appeared to follow current practice guidelines. Despite some variations, PFS in our study seems to be consistent with findings from other real world studies. Nevertheless, PFS results were higher than those observed in clinical trials. Due to the use of cross-sectional data, PFS in our study should be interpreted with caution.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.