Anatomic Risk Factors for Initial and Secondary Noncontact Anterior Cruciate Ligament Injury: A Prospective Cohort Study in 880 Female Elite Handball and Soccer Players
Yusuke Kamatsuki; Marie Synnøve Qvale; Kathrin Steffen; Arnlaug Wangensteen; Tron Krosshaug · 2024 · The American Journal of Sports Medicine
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: Anterior cruciate ligament (ACL) injury is one of the most severe injuries for athletes. It is important to identify risk factors because a better understanding of injury causation can help inform athletes about risk and increase their understanding of and motivation for injury prevention. Purpose: To investigate the relationship between anatomic factors and risk for future noncontact ACL injuries. Study Design: Cohort study; Level of evidence, 2. Methods: A total of 870, excluding 9 players with a new contact ACL injury and a player with a new noncontact ACL injury just before the
Abstract by Yusuke Kamatsuki; Marie Synnøve Qvale; Kathrin Steffen; Arnlaug Wangensteen; Tron Krosshaug, The American Journal of Sports Medicine (2024) — 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 10.1177/03635465241292755
