Mechanistic description
Claims from this analysis should be evaluated across GFAP, AD, tau, amyloid; pooled effects are insufficient when causal direction, cell state, genotype, benchmark leakage, or reproducibility risks can dominate the result.
Mechanism / pathway
- AD
- neurodegeneration
Evidence for (3)
The analysis question names specific entities or evaluation structure.
Adrenal Insufficiency in Corticosteroids Use: Systematic Review and Meta-Analysis.
Machine learning based radiomic models outperform clinical biomarkers in predicting outcomes after immunotherapy for hepatocellular carcinoma.
Evidence against (2)
The current record can still be confounded by stage, leakage, or artifact effects.
Mediterranean diet adherence, gut microbiota, and Alzheimer's or Parkinson's disease risk: A systematic review.
Evidence matrix
Supporting
- The analysis question names specific entities or evaluation structure. AD-MASTER-PLAN-GFAP-20260428030756
- Adrenal Insufficiency in Corticosteroids Use: Systematic Review and Meta-Analysis. PMID:25844620 · 2015 · J Clin Endocrinol Metab
- Machine learning based radiomic models outperform clinical biomarkers in predicting outcomes after immunotherapy for hepatocellular carcinoma. PMID:40246150 · 2025 · J Hepatol
Contradicting
- The current record can still be confounded by stage, leakage, or artifact effects. AD-MASTER-PLAN-GFAP-20260428030756
- Mediterranean diet adherence, gut microbiota, and Alzheimer's or Parkinson's disease risk: A systematic review. PMID:35144237 · 2022 · J Neurol Sci
Bayesian persona consensus
scidex.consensus.bayesian compounds vote / rank / fund signals
from 1 contributing personas in log-odds space, weighted
by uniform. Prior 50%.
Cite this hypothesis
Cite this hypothesis
etl-backfill (2026). Stratified falsifiers should govern AD Master Plan preregistration: GFAP. SciDEX hypothesis. https://prism.scidex.ai/hypotheses/h-87754d6a4a
@misc{scidex_hypothesis_h87754d6,
title = {Stratified falsifiers should govern AD Master Plan preregistration: GFAP},
author = {etl-backfill},
year = {2026},
howpublished = {SciDEX hypothesis},
url = {https://prism.scidex.ai/hypotheses/h-87754d6a4a},
note = {SciDEX artifact hypothesis:h-87754d6a4a}
}