Clinical and Kinematic Data of the ENHANCE trial in patients with stroke
Why this work is in the frame
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Bibliographic record
Abstract
Clinical and kinematic data from a clinical trial involving a novel training approach motivated by motor control theory where reaching training was done within a spasticity-free elbow extension ranges determined individually or in a non-specific range. Patients with subacute stroke (≤6mo; n=46) and elbow flexor spasticity were randomly allocated to a 10-day upper limb training protocol, either personalized by restricting reaching to the spasticity-free range defined by the tonic stretch reflex threshold (TSRT) of elbow flexors or non-personalized (non-restricted). Outcomes assessed before, after, and one-month post-intervention were elbow flexor TSRT angle and reach-to-grasp arm kinematics (primary), and stretch reflex velocity sensitivity, clinical measures of impairment, and activity levels (secondary). Ethical approval was obtained from the appropriate ethics committees before the beginning of the study. The Centre de Recherche Interdisciplinaire en Réadaptation du Montréal Métropolitain (Montréal, Canada) approved the study for the Jewish Rehabilitation Hospital and the Institut de Réadaptation Gingras-Lindsay de Montréal (CRIR1112-1115). The Institutional Ethics Review Board of Loewenstein Rehabilitation Hospital (Ra’anana, Israel) approved the study for the Loewenstein Rehabilitation Hospital (000-11-15-LOE) and the Institutional Ethics Committee of Tel Aviv University (Tel Aviv, Israel). The Institutional Ethics Committee of Kasturba Hospital (Manipal, India) approved the study for the Kasturba Medical Hospital (IEC-32/2016). The database includes 2 files: ENHANCE_RawData.xlsx - data file ENHANCE-Clinical and Kinematic Raw Data Definitions.doc - data definitions file
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.010 | 0.014 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it