ArticleBMJ open sport & exercise medicine2025
Reimagining athlete monitoring for true indicative injury prevention.
Article in BMJ open sport & exercise medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed.
- Asymptomatic Abnormalities in the Knee, Shoulder, and Ankle Joints of Collegiate Athletes: A Cross-Sectional MRI-Based Comparative Study.Diagnostics (Basel, Switzerland) · 2026Article
- Agreement and reliability of force-plate, smartphone-based, and wearable-sensor countermovement jump assessments for neuromuscular monitoring in male professional volleyball players.Frontiers in physiology · 2026Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Injury prevention and performance optimisation in sports are evolving from generic strategies to more personalised, timely and data-informed approaches. Traditional systems often rely on infrequent assessments and binary classifications of injury, which fail to reflect the complexity of athlete health. This perspective advocates for a refined approach to athlete screening and monitoring that captures historical and real-time data to support precise, context-driven decisions. We differentiate between screening as a point-in-time evaluation of underlying risk and monitoring as the continuous assessment of an athlete's changing condition. The key principles of this approach include using valid, outcome-specific measures, timely data collection close to decision points and seamless integration into daily practice. By moving beyond simplistic metrics and incorporating advanced analytical techniques, this approach offers a more nuanced and proactive way to manage athlete health. It bridges the gap between research and real-world application, supporting better decision-making and long-term performance outcomes.
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Registered trials
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