A Comparative Analysis of Grip Strength Evaluation Methods in a Large Cohort of Aged Mice
Giorgia Bigossi; Serena Marcozzi; Maria Elisa Giuliani; Giovanni Lai; Beatrice Bartozzi; Fiorenza Orlando; Laura Gerosa; Amir Mohammad Malvandi · 2025 · Journal of Cachexia Sarcopenia and Muscle
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
BACKGROUND: Grip strength is a key functional marker of musculoskeletal aging, widely used to assess sarcopenia. In preclinical research, multiple measurement methods are often combined to enhance reliability, but standardization remains challenging. To improve measurement robustness, we previously developed a composite strength score (SS5) that integrates five different grip strength tests into a single variable. While SS5 provides a comprehensive evaluation, its implementation is time-consuming, limiting feasibility in large-scale studies. In this study, we also examine two simplified compos
Abstract by Giorgia Bigossi; Serena Marcozzi; Maria Elisa Giuliani; Giovanni Lai; Beatrice Bartozzi; Fiorenza Orlando; Laura Gerosa; Amir Mohammad Malvandi, Journal of Cachexia Sarcopenia and Muscle (2025) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
A Randomized Trial of Intraarterial Treatment for Acute Ischemic Stroke
Negative / Null Result ReportDuodenal Infusion of Donor Feces for Recurrent Clostridium difficile
Negative / Null Result ReportStenting versus Endarterectomy for Treatment of Carotid-Artery Stenosis
Negative / Null Result ReportEffects of Combination Lipid Therapy in Type 2 Diabetes Mellitus
Replication FailureA Randomized Trial of Bevacizumab for Newly Diagnosed Glioblastoma
Negative / Null Result ReportSpironolactone for Heart Failure with Preserved Ejection Fraction
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1002/jcsm.70050
