Evidence map›Paper›PMID 35903892›Full record

ArticleJournal of cachexia, sarcopenia and muscle2022

Weight and skeletal muscle loss with cabozantinib in metastatic renal cell carcinoma.

Emeline Colomba, Carolina Alves Costa Silva, Gwénaël Le Teuff, Jamie Elmawieh, Daniel Afonso, Axelle Benchimol-Zouari, Annalisa Guida, Lisa Derosa, Ronan Flippot, Bruno Raynard and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. SEOM clinical guidelines for cancer anorexia-cachexia syndrome (2023).Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Guideline
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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

13 authors at 3 institutions in 2 countries.

Emeline ColombaCancer Medicine Department, Gustave Roussy, Paris-Saclay University, Villejuif, France.ORCID 0000-0002-3631-316X
Carolina Alves Costa SilvaCancer Medicine Department, Gustave Roussy, Paris-Saclay University, Villejuif, France.ORCID 0000-0003-1920-142X
Gwénaël Le TeuffBiostatistics and Epidemiology Department, Gustave Roussy, Villejuif, France.ORCID 0000-0003-3292-0939
Jamie ElmawiehDepartment of Anaesthesia, Surgery and Interventional, Gustave Roussy, Paris-Saclay University, Villejuif, France.ORCID 0000-0002-7189-8984
Daniel AfonsoImaging Department, Gustave Roussy, Paris-Saclay University, Villejuif, France.
Axelle Benchimol-ZouariImaging Department, Gustave Roussy, Paris-Saclay University, Villejuif, France.
Annalisa GuidaMedical and Translational Oncology Unit, Department of Oncology, Azienda Ospedaliera Santa Maria, Terni, Italy.ORCID 0000-0001-8520-7032
Lisa DerosaCancer Medicine Department, Gustave Roussy, Paris-Saclay University, Villejuif, France.
Ronan FlippotCancer Medicine Department, Gustave Roussy, Paris-Saclay University, Villejuif, France.ORCID 0000-0003-0083-4753
Bruno RaynardDietetics and Nutrition Unit, Gustave Roussy, Paris-Saclay University, Villejuif, France.ORCID 0000-0001-7831-2440
Bernard EscudierCancer Medicine Department, Gustave Roussy, Paris-Saclay University, Villejuif, France.
François BidaultImaging Department, Gustave Roussy, Paris-Saclay University, Villejuif, France.ORCID 0000-0002-5566-9372
Laurence AlbigesCancer Medicine Department, Gustave Roussy, Paris-Saclay University, Villejuif, France.ORCID 0000-0002-5734-3480
Université Paris-Saclay · FRInserm · FRAzienda Ospedaliera S.Maria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCabozantinib, a standard of care metastatic renal cell carcinoma (mRCC), may be associated with weight and muscle loss. These effects of new generation VEGFR tyrosine kinase inhibitor on muscle mass loss are poorly described.

methodsAll cabozantinib-treated mRCC patients from January 2014 to February 2019 in our institution were included. Clinical data including weight were collected during therapy. Computed tomography images were centrally reviewed for response assessment, and axial sections at the third lumbar vertebrae were used to measure the total muscle area. Toxicities and cabozantinib outcomes were evaluated. Co-primary endpoints included skeletal muscle loss and weight loss (WL), longitudinally evaluated during treatment. WL has been classified according to CTCAEv5.0: Grade 1 (loss of 5 to <10% of baseline body weight), Grade 2 (loss of 10% to <20% of baseline body weight), and Grades 3-4 (loss >20% of baseline body weight).

resultsPatients were mostly men (70.3%), median age was 59.2 (range: 22.0-78.0) years, and median baseline body mass index was 25.0 (range: 16.4-49.3) kg/cm

conclusionsWe report a high incidence of grades 3-4 WL, fourth times higher than reported in prior pivotal trials, and half of the patients developed sarcopenia while on cabozantinib treatment. Weight and muscle mass loss with cabozantinib are underreported and may require further investigations and early management.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsSarcopeniaAnilidesBody WeightFemaleHumansMaleMiddle AgedMuscle, SkeletalProtein Kinase InhibitorsPyridinesAnilidescabozantinibProtein Kinase InhibitorsPyridinesCabozantinibMetastatic renal cell carcinomaMuscle wastingSarcopeniaWeight loss

Identifiers

PMID35903892
PMCPMC9530538
OpenAlexW4288489745

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.