ArticleBritish journal of sports medicine2005
Classifying sports medicine diagnoses: a comparison of the International classification of diseases 10-Australian modification (ICD-10-AM) and the Orchard sports injury classification system (OSICS-8).
Article in British journal of sports medicine, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Guidance for sports injury surveillance: the 20-year influence of the Australian Sports Injury Data Dictionary.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2018Pooled it
- Efficacy of a movement control injury prevention programme in adult men's community rugby union: a cluster randomised controlled trial.British journal of sports medicine · 2018Trial
- Advances in biomaterials for sports injury prevention and rehabilitation: current status and future perspectives.Nanoscale advances · 2026Review
- Orchard Sports Injury and Illness Classification System (OSIICS) Version 15.Journal of sport and health science · 2024Article
- Applying Deep Learning Model to Predict Diagnosis Code of Medical Records.Diagnostics (Basel, Switzerland) · 2023Article
- Deep-ADCA: Development and Validation of Deep Learning Model for Automated Diagnosis Code Assignment Using Clinical Notes in Electronic Medical Records.Journal of personalized medicine · 2022Article
- [How dangerous is American football in a German amateur league? An injury analysis according to playing position over a period of four seasons].Der Unfallchirurg · 2020Article
- Epidemiology of Injuries Sustained by Elite Under-18 Rugby Players.Journal of athletic training · 2019Article
- Incidence and Nature of Medical Attendance Injuries in English Community Rugby Union.Orthopaedic journal of sports medicine · 2014Article
- Coding OSICS sports injury diagnoses in epidemiological studies: does the background of the coder matter?British journal of sports medicine · 2014Article
- Article
- Incidence, severity, aetiology and type of neck injury in men's amateur rugby union: a prospective cohort study.Chiropractic & osteopathy · 2010Article
- Revision, uptake and coding issues related to the open access Orchard Sports Injury Classification System (OSICS) versions 8, 9 and 10.1.Open access journal of sports medicine · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe International classification of diseases 10-Australian modification (ICD-10-AM) and the Orchard sports injury classification system (OSICS-8) are two classifications currently being used in sports injury research.
objectivesTo compare these two systems to determine which was the more reliable and easier to apply in the classification of injury diagnoses of patients who presented to sports physicians in private sports medicine practice.
methodsTen sports physicians/sports physician registrars each coded one of 10 different lists of 30 sports medicine diagnoses according to both ICD-10-AM and OSICS-8 in random order. The coders noted the time taken to apply each classification system, and allocated an ease of fit score for individual diagnoses into the systems. The 300 diagnoses were each coded twice more by "expert" coders from each system, and these results compared with those of the 10 volunteers.
resultsOverall, there was a higher level of agreement between the different coders for OSICS-8 than for ICD-10-AM. On average, it was 23.5 minutes quicker to complete the task with OSICS-8 than with ICD-10-AM. Furthermore, there was also higher concordance between the three coders with OSICS-8. Subjective analysis of the codes assigned indicated reasons for disagreement and showed that, in some instances, even the "expert" coders had difficulties in assigning the most appropriate codes.
conclusionsBased on the results of this study, OSICS-8 appears to be the preferred system for use by inexperienced coders in sports medicine research. The agreement between coders was, however, lower than expected. It is recommended that changes be made to both OSICS-8 and ICD-10-AM to improve their reliability for use in sports medicine research.
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.