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SPORTS REHABILITATION · EVIDENCE ATLAS

Three studies.
One connected
perspective.

From movement to training load and injury consequences. A research direction connecting what we know and making the missing pieces visible.

REAL RESULTS / 3 STUDIES

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One result per study. Different populations, no individual linkage.READ CONCLUSIONS ↓
03independent studies
104source-aware definitions
09compatibility domains

We integrate evidence and definitions. Populations and outcomes retain their context.

THE ANSWER / SYNTHESIS CONCLUSIONS

What did bringing them together reveal?

Three findings from the original analyses and one joint interpretation: describing movement, anticipating a label and quantifying consequences require different evidence.

01 / MOVEMENT

Movement needs validated measurement.

RIC contributes a 30-person technical pilot; its measurements do not establish an injury biomarker.

02 / TRAINING

It beats chance only marginally.

Unseen athletes, future period: AP 0.020 against 0.016 for chance; the paired CI of AP minus chance (0.0020 to 0.0270) excludes zero. With an AUC of 0.546 it is not clinically useful.

03 / CONSEQUENCES

Frequency and burden change the ranking.

Hamstring injury leads record counts; Cruciate ligament tear leads summed episode-days.

JOINT CONCLUSION

Movement, the probability of a label and the impact of an absence tell different stories.

The integration turns three separate analyses into a common research framework: measure current function with quality, evaluate training signals in unseen people and future periods, and describe impact using frequency and consequence measures. The result is a complementary interpretation, with each conclusion linked to its source.

What remains unresolved: how a movement characteristic relates to load and absence duration in the same person. These sources study different populations; that association still needs a linked cohort.

See what the integration produced ↓

MOVEMENT / FROM CONCEPT TO MEASUREMENT

See the movement. Question the measurement.

The runner moves with published curves from 28 runners. On the right, each joint curve and the real RIC pilot medians.

RUNNING CYCLE / PUBLISHED MEAN CURVE
Animated runner diagramRunner animated with published mean hip, knee and ankle angles at 2.5 m/s (Fukuchi et al., 2017). Pelvis, trunk, arms and flight height are illustrative. MEAN OF 28 RUNNERSTREADMILL · 2.5 m/s
12%
Hip, knee and ankle angles: mean curves of 28 treadmill runners at 2.5 m/s (Fukuchi, Fukuchi and Duarte, 2017, PeerJ; data CC BY 4.0). It does not reconstruct RIC participant kinematics: pelvis, trunk, arms and flight height are illustrative. Curve source ↗

REAL MEASUREMENT / RIC PILOT

KNEE_FLEX_PEAK_ANGLE

Izquierdo: −41,65° / Derecho: −42,37°

Medians of 30 people, source sign preserved.

How to read the sign

In the curve, flexion and dorsiflexion are positive. RIC stores the knee peak with a negative sign, so its absolute value is compared. Two medians do not classify anyone as injured.

Read the biomechanics dataset study ↗

01 / THREE WAYS TO LOOK AT THE QUESTION

Each study adds a piece.

Explore real results, their unit of analysis and the question each can answer. Each study's full experience lives on its own route, with its own data and warnings.

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JOINT RESULT / WHAT CHANGED WHEN COMBINED

From separate results to connected questions.

01 / RIC

What am I measuring now?

Biomechanics contributes a movement measurement. Its meaning depends on speed, protocol, side and event quality.

02 / RUNNERS

What does preceding history add?

Load histories add temporal context. Ranking future labels must be evaluated out of training with sample selection kept visible.

03 / FOOTBALL

What consequences were recorded?

Frequency and duration provide distinct views of impact. A label can be less frequent yet accumulate many days of absence.

What this project produced

A research framework separating measurement, anticipation and impact; a catalogue of 104 definitions; three documented outcomes; and a map of missing links. No correlations across people from different sources or combined clinical effect were calculated. The gain is a traceable synthesis and a more precise design for the next multimodal study.

02 / THE INTEGRATION RESULT

Connecting means seeing what is missing.

A common matrix of what is recorded, what is provisional and what needs new data. Categories describe coverage; they are not a quality score.

RecordedProvisionalDifferent constructNot available
Show the 9-domain matrix
Availability of nine domains across three independent sources
Domain / questionRunning Injury ClinicCompetitive RunnersEuropean Football

Select a domain to read its interpretation.

The next bridge needs the same people.

These studies connect knowledge, but cannot estimate an individual association between biomechanics, load and absence duration. That question needs a linked cohort, verified timing and complete clinical outcomes.

03 / THE COMMON LANGUAGE

104 definitions. Each with its origin.

Explore variables, units and limitations. Context and lineage fields are included; these are not 104 predictors measured together.

Open the 104-definition catalogue
Download catalogue ↓

04 / A RESEARCH DIRECTION THAT CAN GROW

From evidence to the next study.

01 · DELIVERED

Traceable integration

Common catalogue, three outcomes, compatibility matrix and attributed aggregate results.

02 · SPECIFIED

Multimodal contract

What to measure: stable identity, validated biomechanics, temporal history, clinical episodes and eligible exposure.

03 · NEW DATA NEEDED

Empirical connections

Evaluate movement, training and outcome relationships in the same people under a defined protocol.

05 / OPEN AND REPRODUCIBLE

Explore. Verify. Build on it.

Aggregate tables, methods, sources and an offline audit notebook. The release preserves attribution to the original measurement creators.