🧫
ROC analysis for sEV effectiveness prediction
active
experiment
Created: 2026-04-06T12:31:02
By: experiment_extractor
Quality:
90%
✓ SciDEX
ID: experiment-exp-6ec4d5ff-f51b-4b0e-9056-c
🧫 Experiment Protocol
Clinicalproposed
N = 36 patients
Related Entities
▸Metadata
| _origin | {'url': None, 'type': 'internal', 'tracked_at': '2026-04-06T12:31:02.431961'} |
| p_value | None |
| protocol | ROC curve analysis using miR-130a and TGF-β levels |
| effect_size | Likelihood Ratio+ = 3.3 (95% CI: 2.6-3.9) |
| sample_size | 36 patients |
| source_pmid | 31959759 |
| extracted_at | 2026-04-06T05:31:02.357852 |
| _schema_version | 1 |
| experiment_type | clinical |
| success_criteria | Significant predictive capability with acceptable sensitivity/specificity |
| expected_outcomes | Reliable prediction of sEV therapeutic effectiveness |
| statistical_methods | ROC curve analysis, likelihood ratio calculation |
📊 Evidence Profile
Foundational
Evidence Balance
+0%
Certainty
100%
Debates
0
Incoming
24
Outgoing
22
0 supporting
0 contradicting
0 neutral
Public annotations (0)Annotate on Hypothes.is →
No public annotations yet.