ArticleNutrients2022
A New Index Based on Serum Creatinine and Cystatin C Can Predict the Risks of Sarcopenia, Falls and Fractures in Old Patients with Low Bone Mineral Density.
Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- Biomarkers for sarcopenia, muscle mass, muscle strength, and physical performance: an umbrella review.Journal of translational medicine · 2025Pooled it
- Pathophysiological Mechanisms Underlying Sarcopenia and Sarcopenic Obesity: A Systematic Review and Meta-Analysis of Biomarker Evidence.International journal of molecular sciences · 2025Pooled it
- Article
- Association between serum uric acid levels and lumbar spine Z-scores in adults aged <50 years: A cross-sectional study.Metabolism open · 2026Article
- Causal relationship between serum creatinine levels and bone mineral density: A Mendelian randomization study.Medicine · 2026Article
- Association between the sarcopenia index and osteoarthritis: a cross-sectional and longitudinal study.European journal of medical research · 2026Article
- Nonlinear Association of Estimated Pulse Wave Velocity With Bone Health Outcomes: Evidence From the NHANES Database.International journal of endocrinology · 2026Article
- Association of serum urea-to-creatinine and creatinine-to-cystatin C ratios with bone mineral density and osteoporosis: a cross-sectional study.Scientific reports · 2025Article
- Association between sarcopenia index and the risk of second hip fracture in older adults.The journal of nutrition, health & aging · 2025Article
- Development and validation of machine learning models for predicting low muscle mass in patients with obesity and diabetes.Lipids in health and disease · 2025Article
- Serum ALT activity and its isoenzymes as potential biomarkers for diagnosis of Sarcopenia in older adults: a retrospective, cross-sectional study.BMC geriatrics · 2025Article
- A w-ACT model for sarcopenia among community-dwelling older adults based on National Basic Public Health Services: development and validation study.Frontiers in public health · 2025Article
- Human umbilical cord mesenchymal stem cell-derived exosomes ameliorate muscle atrophy via the miR-132-3p/FoxO3 axis.Journal of orthopaedic translation · 2024Article
- Diabetes Mellitus Should Be Considered While Analysing Sarcopenia-Related Biomarkers.Journal of clinical medicine · 2024Review
- Serum Creatinine-Cystatin C Based Screening of Sarcopenia in Community Dwelling Older Adults: A Cross-Sectional Analysis.The Journal of frailty & aging · 2024Article
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 2 countries.
Funding
Abstract
As new screening tools for sarcopenia, the serum sarcopenia index (SI) and creatinine/cystatin C ratio (CCR) had not been confirmd in a population with a high fragility fracture risk. This study aimed to evaluate whether SI and CCR indicators are useful for diagnosing sarcopenia and to determine their prediction values for future falls and fractures. A total of 404 hospitalized older adults were enrolled in this longitudinal follow-up study (mean age = 66.43 ± 6.80 years). The receiver operating curve (ROC) was used to assess the diagnostic accuracy of SI and CCR. Backward-selection binary logistic regression was applied to develop the optimal models for the diagnosis of new falls and fractures. SI had a significantly higher area under the curve (AUC) than CCR for predicting sarcopenia. The optimal models had acceptable discriminative powers for predicting new falls and fractures. Lower SI and CCR are the independent risks for sarcopenia, new falls, and fractures in the low-BMD population. SI and CCR, as easily accessible biochemical markers, may be useful in the detection of sarcopenia and in predicting the occurrence of new falls and fractures in patients with low BMD who have not previously experienced falls or fractures. However, further external validations are required.
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Registered trials
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