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Evidence atlas · Reproducible release 1.0

Sports Rehab Intelligence

Movement · Training · Injury consequences

The principal project connecting Running Injury Clinic, Competitive Runners and European Football Injuries. A bilingual evidence atlas brings together 104 source-aware definitions, three distinct outcomes and a nine-domain compatibility map, while preserving the populations and limits of each study.

3 Independent component studies
104 Source-aware definitions
9 Compatibility domains
11 Pinned aggregate inputs

Context

The three Sports Rehab studies address movement, histories before selected injury labels and recorded absence consequences. A shared research direction needs explicit relationships between these questions and the evidence available for each.

Problem

Which dimensions can be connected now through definitions and aggregate evidence, and what additional measurements, identity and clinical validation are required to study them in the same people?

My role

Integration design, source audit, common catalogue, outcome registry, compatibility mapping, reproducible release, bilingual discussion and website. The original dataset creators collected the measurements and are credited separately.

What I built

An offline Python pipeline using eleven aggregate/definition files pinned to source Git commits; a 104-entry catalogue preserving original metadata; three outcome definitions; 27 domain/source cells; a Kaggle audit notebook; and a static atlas with source-specific charts, search and licensed downloads.

Data or evidence used

RIC technical-pilot medians and quartiles; the runners primary held-out validation results; football raw-label burden and candidate repeated-interval sensitivity. The integrative findings concern complementary coverage, non-equivalent endpoints and missing linked modalities, not a pooled clinical effect.

Limitations

Different cohorts, protocols, time bases and ascertainment. No verified participant crosswalk or complete common exposure denominator. Catalogue entries include lineage and retrospective outputs; they are not 104 simultaneously measured predictors. The domain mapping is authored judgment and the literature discussion is narrative.

Next validation step

Complete pending RIC event/cycle validation and design or acquire a genuinely linked multimodal cohort with available-at timestamps, clinical episodes, eligible exposure and explicit return criteria before evaluating a combined model.

DATA AND REPRODUCIBILITY

Source data and published analysis

  1. Sports Rehab Intelligence: methods, source manifest and original project attribution. ↗

    Traceable evidence integration with source-specific outcomes, definitions and limits.

  2. Bahr et al. (2020). IOC consensus statement on injury and illness epidemiological reporting. ↗

    Methods framework for distinguishing definitions, exposure, severity and burden; does not validate the source records.

PythonEvidence synthesisData contractsJavaScriptKaggleVercel
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