ArticleJournal of cachexia, sarcopenia and muscle2024
Sarcopenia, adiposity and large discordance between cystatin C and creatinine-based estimated glomerular filtration rate in patients with cancer.
Article in Journal of cachexia, sarcopenia and muscle, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 20 citations in OpenAlex.
- Deficit accumulation frailty and risk of incident chronic kidney disease: a prospective analysis of the UK biobank and CHARLS cohorts.International urology and nephrology · 2026Article
- Assessing the hepatic and renal parameters of breast cancer patient blood samples before and after chemotherapy.Toxicology reports · 2026Article
- Opportunistic Screening on Chest CT, From theAJR. American journal of roentgenology · 2026Review
- Cystatin C-based eGFR better predicts renal vancomycin clearance than creatinine-based eGFR in patients with allogeneic stem cell transplantation.Clinical pharmacology and therapeutics · 2026Article
- Impact of Computed Tomography-Derived Body Composition Analysis on the Performance of GFR Estimating Equations in Patients with Cancer.Clinical journal of the American Society of Nephrology : CJASN · 2026Article
- Beyond Creatinine: A New Era of GFR Assessment in Patients with Cancer.Clinical journal of the American Society of Nephrology : CJASN · 2026Article
- Review
- CKD in Indigenous Populations in Kerala, India.Kidney international reports · 2026Article
- Body Composition Metrics Associated with Time to Progression in Smoldering Multiple Myeloma.Diagnostics (Basel, Switzerland) · 2025Article
- Update on the Assessment of GFR in Patients with Cancer.Kidney360 · 2025Review
- Effect of subcutaneous fat on long-term survival after surgery for stage I-III breast cancer as determined by computed tomography.Frontiers in oncology · 2025Article
- Sarcopenia in glioblastoma: the imaging we need and what it tells us.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2024Article
- Large Discordance between Creatinine-Based and Cystatin C-Based eGFRs is Associated with Falls, Hospitalizations, and Death in Older Adults.Clinical journal of the American Society of Nephrology : CJASN · 2024Article
- Sarcopenia, adiposity and large discordance between cystatin C and creatinine-based estimated glomerular filtration rate in patients with cancer.Journal of cachexia, sarcopenia and muscle · 2024Article
Corrections and comments
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Authors and funding
18 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundCreatinine-based estimated glomerular filtration rate (eGFR
methodsThis study is a cross-sectional study of consecutive adults with cancer with an abdominal CT scan performed within 90 days of simultaneous eGFR
resultsOf the 545 included patients (mean age 63 ± 14 years, 300 [55%] females, 440 [80.7%] non-Hispanic white), 320 (58.7%) met the criteria for CT-defined sarcopenia, and 136 (25%) had high adiposity. A total of 259 patients (48%) had >30% eGFR discordance, and 122 (22.4%) had >50% eGFR discordance. After adjustment for potential confounders, CT-defined sarcopenia and high adiposity were both associated with >30% eGFR discordance (adjusted odds ratio [aOR] 1.90, 95% confidence interval [CI] 1.12-3.24; aOR 2.01, 95% CI 1.15-3.52, respectively) and >50% eGFR discordance (aOR 2.34, 95% CI 1.21-4.51; aOR 2.23, 95% CI 1.19-4.17, respectively). A spline model demonstrated that as skeletal muscle index decreases, the predicted difference between eGFR
conclusionsCT-defined sarcopenia and high adiposity are both independently associated with large eGFR discordance. Incorporating valuable information from body composition analysis derived from CT scans performed as a part of routine cancer care can impact the interpretation of GFR estimates.
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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.