Trial reportUrology2017
The Effects of Neoadjuvant Axitinib on Anthropometric Parameters in Patients With Locally Advanced Non-metastatic Renal Cell Carcinoma.
Trial report in Urology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses 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
10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Impact of pretreatment body mass index on clinical outcomes in patients with metastatic renal cell carcinoma receiving first-line immune checkpoint inhibitor-based therapy: A systematic review and meta-analysis.Investigative and clinical urology · 2024Pooled it
- Low skeletal muscle mass predicts treatment response in oncology: a meta-analysis.European radiology · 2023Pooled it
- Prognostic value of skeletal muscle mass during tyrosine kinase inhibitor (TKI) therapy in cancer patients: a systematic review and meta-analysis.Internal and emergency medicine · 2021Pooled it
- Paradoxical Effect of Myosteatosis on the Immune Checkpoint Inhibitor Response in Metastatic Renal Cell Carcinoma.Journal of cachexia, sarcopenia and muscle · 2025Article
- Prognostic Value of Baseline Skeletal Muscle Index in Colorectal Cancer Patients Treated with Fruquintinib: A multi-center real world analysis.International journal of colorectal disease · 2024Article
- Article
- Review
- Article
- Skeletal Muscle Loss during Multikinase Inhibitors Therapy: Molecular Pathways, Clinical Implications, and Nutritional Challenges.Nutrients · 2020Review
- Body Composition and Leptin/Ghrelin Levels during Lenvatinib for Thyroid Cancer.European thyroid journal · 2020Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
objectiveTo examine the effect that neoadjuvant axitinib for the treatment of localized renal cell carcinoma has on body compartment composition. MATERIALS AND
methodsThe study was based on a single-institution, single-arm clinical trial that enrolled 24 patients with locally advanced non-metastatic biopsy-proven clear cell renal cell carcinoma. Patients received axitinib orally for up to 12 weeks. Computed tomography scans were completed before the start of treatment, after 7 weeks of treatment and at the completion of 12 weeks of treatment. Patients underwent nephrectomy after axitinib treatment. The primary outcome of the current study was change in body compartment composition. Secondary outcomes included development of new-onset sarcopenia and changes in body weight.
resultsA total of 23 patients had a complete set of imaging for evaluation, of which 19 (82.6%) lost weight. Median weight loss was 4.5 kg (P <.001). Seven patients (30.4%) had sarcopenia before treatment, with an additional 5 (21.7%) developing sarcopenia during treatment. Median decrease in skeletal muscle was 2.9 cm
conclusionNeoadjuvant axitinib resulted in a decrease in skeletal muscle and subcutaneous adipose tissue, as well as weight loss. Patients with baseline sarcopenia tended to have a lower response rate to neoadjuvant axitinib.
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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.