🧫
ROC curve analysis for predicting sEV ineffectiveness
active
experiment
Created: 2026-04-06T12:31:46
By: experiment_extractor
Quality:
90%
✓ SciDEX
ID: experiment-exp-6323f55d-28ce-49f5-9301-d
🧫 Experiment Protocol
Clinicalproposed
N = 9 patients per group
Related Entities
▸Metadata
| _origin | {'url': None, 'type': 'internal', 'tracked_at': '2026-04-06T12:31:46.810211'} |
| p_value | None |
| protocol | ROC curve analysis using miR-130a and TGF-β content measurements in series |
| effect_size | Likelihood Ratio+ = 3.3 |
| sample_size | 9 patients per group |
| source_pmid | 31959759 |
| extracted_at | 2026-04-06T05:31:46.750080 |
| _schema_version | 1 |
| experiment_type | clinical |
| success_criteria | statistically significant predictive capability with clinically useful likelihood ratios |
| expected_outcomes | development of predictive model for sEV effectiveness |
| statistical_methods | ROC curve analysis, likelihood ratio calculations |
📊 Evidence Profile
Foundational
Evidence Balance
+0%
Certainty
100%
Debates
0
Incoming
22
Outgoing
21
0 supporting
0 contradicting
0 neutral
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