Generates a clinical evidence report for a set of injured muscles by querying the knowledge graph for ICD-10 codes, ICF codes, innervation, functional impact, and related muscles (synergists and antagonists).
Value
An S3 object of class "MSKClinicalEvidence" with:
- muscles
Data frame of injury muscle annotations
- icd10_codes
Matching ICD-10 entries
- icf_codes
Matching ICF entries
- affected_nerves
Nerves innervating injured muscles
- affected_spinal_levels
Spinal segments involved
- functional_impact
Affected actions/movements
- synergists
Synergistic muscles from KG
- antagonists
Antagonistic muscles from KG
Clinical Validity
ICD-10 and ICF code mappings are based on knowledge graph associations and may not capture all valid codes for a clinical scenario. This tool provides evidence aggregation for research; clinical coding should follow local guidelines and be reviewed by qualified professionals.
Examples
if (requireNamespace("PhysioAnnotationHub", quietly = TRUE)) {
evidence <- mskClinicalEvidence(c("Biceps Brachii", "Deltoid"))
print(evidence)
}
#> Annotated MSKHypergraph: 270/270 muscles (100.0%), 173/173 bones (100.0%) matched
#> MSK Clinical Evidence Report
#> ============================
#> Injured muscles: Biceps Brachii, Deltoid
#>
#> Affected Nerves: Musculocutaneous Nerve, Axillary Nerve
#> Affected Spinal Levels: C5-C6
#> Functional Impact: elbow_flexion, shoulder_abduction
#>
#> Synergistic Muscles: Brachialis, Brachioradialis, Supinator, Supraspinatus, Coracobrachialis
#> Antagonistic Muscles: Triceps Brachii, Latissimus Dorsi, Teres Major