ArticleBritish journal of sports medicine2019
Time-to-event analysis for sports injury research part 2: time-varying outcomes.
Article in British journal of sports medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.
- Is the Acute: Chronic Workload Ratio (ACWR) Associated with Risk of Time-Loss Injury in Professional Team Sports? A Systematic Review of Methodology, Variables and Injury Risk in Practical Situations.Sports medicine (Auckland, N.Z.) · 2020Pooled it
- How much running is too much? Identifying high-risk running sessions in a 5200-person cohort study.British journal of sports medicine · 2025Article
- Methodological quality and reporting using time-to-event data in sports science and medicine: a scoping review.BMJ open sport & exercise medicine · 2025Review
- Perceptual Response Training for Reduction of Injury Risk Among High School Girls' Soccer Players.Brain sciences · 2024Article
- Real-time sports injury monitoring system based on the deep learning algorithm.BMC medical imaging · 2024Article
- A machine learning framework to classify musculoskeletal injury risk groups in military service members.Frontiers in artificial intelligence · 2024Article
- Long-term prognostic impact of cardiovascular comorbidities in patients with prostate cancer receiving androgen deprivation therapy: A population-based competing risk analysis.International journal of cancer · 2023Article
- Demographic Factors and Instantaneous Lower Extremity Injury Occurrence in a National Collegiate Athletic Association Division I Population.Journal of athletic training · 2023Article
- Risk of diabetes mellitus among users of immune checkpoint inhibitors: A population-based cohort study.Cancer medicine · 2023Article
- Risk factors for injury complaints leading to restricted participation in Athletics (Track and Field): a secondary analysis of data from 320 athletes over one season.BMJ open sport & exercise medicine · 2023Article
- Application of plastic conjugated materials in the repair of sports injury.Frontiers in chemistry · 2023Article
- Relationships between surrogate measures of mechanical and psychophysiological load, patellar tendon adaptations, and neuromuscular performance in NCAA division I men's volleyball athletes.Frontiers in sports and active living · 2023Article
- Association of COMT Polymorphisms with Multiple Physical Activity-Related Injuries among University Students in China.International journal of environmental research and public health · 2021Article
- Lower Extremity Musculoskeletal Injury in US Military Academy Cadet Basic Training: A Survival Analysis Evaluating Sex, History of Injury, and Body Mass Index.Orthopaedic journal of sports medicine · 2021Article
- A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration.British journal of sports medicine · 2021Article
- Low Horizontal Force Production Capacity during Sprinting as a Potential Risk Factor of Hamstring Injury in Football.International journal of environmental research and public health · 2021Article
- The Training-Performance Puzzle: How Can the Past Inform Future Training Directions?Journal of athletic training · 2020Article
- Training Load and Its Role in Injury Prevention, Part 2: Conceptual and Methodologic Pitfalls.Journal of athletic training · 2020Article
- Statement on methods in sport injury research from the 1st METHODS MATTER Meeting, Copenhagen, 2019.British journal of sports medicine · 2020Article
- The Athletics Injury Prevention Programme Can Help to Reduce the Occurrence at Short Term of Participation Restriction Injury Complaints in Athletics: A Prospective Cohort Study.Sports (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTime-to-event modelling is underutilised in sports injury research. Still, sports injury researchers have been encouraged to consider time-to-event analyses as a powerful alternative to other statistical methods. Therefore, it is important to shed light on statistical approaches suitable for analysing training load related key-questions within the sports injury domain. CONTENT: In the present article, we illuminate: (i) the possibilities of including
conclusionTime-to-event analyses can handle time-varying outcomes, competing risk and multiple subsequent injuries. Although powerful, time-to-event has important requirements: researchers are encouraged to carefully consider
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.