{
  "_meta": {
    "description": "Synthetic / mock diabetes drug-class RCT outcome data for CumulMetaDelta-Kor MVP.",
    "disclaimer": "SYNTHETIC DEMO DATA. Effect sizes are procedurally constructed to demonstrate cumulative-meta transition events. NOT real trial results. 참고용/연구용 only.",
    "effect_metric": "All effects are ratio measures (HR or RR). 'effect' = point estimate, 'ci_low'/'ci_high' = 95% CI bounds. log/SE are derived internally.",
    "cells_note": "A 'cell' is a (drug_class x outcome) pair. Trials are ordered by year for cumulative meta-analysis.",
    "schema": ["trial_id", "drug_class", "outcome", "year", "trial_name", "effect", "ci_low", "ci_high", "n", "source"]
  },
  "trials": [
    {"trial_id": "T001", "drug_class": "SGLT2i", "outcome": "HHF", "year": 2015, "trial_name": "MOCK-EMPA-OUT (synthetic)", "effect": 0.82, "ci_low": 0.60, "ci_high": 1.12, "n": 7020, "source": "synthetic-NEJM-like"},
    {"trial_id": "T002", "drug_class": "SGLT2i", "outcome": "HHF", "year": 2017, "trial_name": "MOCK-CANVAS (synthetic)", "effect": 0.78, "ci_low": 0.58, "ci_high": 1.05, "n": 10142, "source": "synthetic-NEJM-like"},
    {"trial_id": "T003", "drug_class": "SGLT2i", "outcome": "HHF", "year": 2019, "trial_name": "MOCK-DECLARE (synthetic)", "effect": 0.73, "ci_low": 0.61, "ci_high": 0.88, "n": 17160, "source": "synthetic-NEJM-like"},
    {"trial_id": "T004", "drug_class": "SGLT2i", "outcome": "HHF", "year": 2020, "trial_name": "MOCK-DAPA-HF-T2D (synthetic)", "effect": 0.70, "ci_low": 0.59, "ci_high": 0.83, "n": 4744, "source": "synthetic-NEJM-like"},
    {"trial_id": "T005", "drug_class": "SGLT2i", "outcome": "HHF", "year": 2022, "trial_name": "MOCK-EMPEROR-T2D (synthetic)", "effect": 0.69, "ci_low": 0.58, "ci_high": 0.82, "n": 5988, "source": "synthetic-NEJM-like"},

    {"trial_id": "T010", "drug_class": "SGLT2i", "outcome": "MACE", "year": 2015, "trial_name": "MOCK-EMPA-MACE (synthetic)", "effect": 0.86, "ci_low": 0.74, "ci_high": 0.99, "n": 7020, "source": "synthetic-NEJM-like"},
    {"trial_id": "T011", "drug_class": "SGLT2i", "outcome": "MACE", "year": 2017, "trial_name": "MOCK-CANVAS-MACE (synthetic)", "effect": 0.86, "ci_low": 0.75, "ci_high": 0.97, "n": 10142, "source": "synthetic-NEJM-like"},
    {"trial_id": "T012", "drug_class": "SGLT2i", "outcome": "MACE", "year": 2019, "trial_name": "MOCK-DECLARE-MACE (synthetic)", "effect": 0.93, "ci_low": 0.84, "ci_high": 1.03, "n": 17160, "source": "synthetic-NEJM-like"},

    {"trial_id": "T020", "drug_class": "GLP-1RA", "outcome": "MACE", "year": 2016, "trial_name": "MOCK-LEADER (synthetic)", "effect": 0.87, "ci_low": 0.78, "ci_high": 0.97, "n": 9340, "source": "synthetic-NEJM-like"},
    {"trial_id": "T021", "drug_class": "GLP-1RA", "outcome": "MACE", "year": 2016, "trial_name": "MOCK-SUSTAIN-6 (synthetic)", "effect": 0.74, "ci_low": 0.58, "ci_high": 0.95, "n": 3297, "source": "synthetic-NEJM-like"},
    {"trial_id": "T022", "drug_class": "GLP-1RA", "outcome": "MACE", "year": 2017, "trial_name": "MOCK-EXSCEL (synthetic)", "effect": 0.91, "ci_low": 0.83, "ci_high": 1.00, "n": 14752, "source": "synthetic-NEJM-like"},
    {"trial_id": "T023", "drug_class": "GLP-1RA", "outcome": "MACE", "year": 2019, "trial_name": "MOCK-REWIND (synthetic)", "effect": 0.88, "ci_low": 0.79, "ci_high": 0.99, "n": 9901, "source": "synthetic-NEJM-like"},

    {"trial_id": "T030", "drug_class": "GLP-1RA", "outcome": "renal_composite", "year": 2017, "trial_name": "MOCK-GLP-RENAL-A (synthetic)", "effect": 0.78, "ci_low": 0.55, "ci_high": 1.11, "n": 4200, "source": "synthetic-Lancet-like"},
    {"trial_id": "T031", "drug_class": "GLP-1RA", "outcome": "renal_composite", "year": 2019, "trial_name": "MOCK-GLP-RENAL-B (synthetic)", "effect": 0.85, "ci_low": 0.66, "ci_high": 1.09, "n": 6100, "source": "synthetic-Lancet-like"},
    {"trial_id": "T032", "drug_class": "GLP-1RA", "outcome": "renal_composite", "year": 2024, "trial_name": "MOCK-FLOW-like (synthetic)", "effect": 0.76, "ci_low": 0.66, "ci_high": 0.88, "n": 3533, "source": "synthetic-NEJM-like"},

    {"trial_id": "T040", "drug_class": "finerenone", "outcome": "renal_composite", "year": 2020, "trial_name": "MOCK-FIDELIO-like (synthetic)", "effect": 0.82, "ci_low": 0.73, "ci_high": 0.93, "n": 5674, "source": "synthetic-NEJM-like"},
    {"trial_id": "T041", "drug_class": "finerenone", "outcome": "renal_composite", "year": 2021, "trial_name": "MOCK-FIGARO-like (synthetic)", "effect": 0.87, "ci_low": 0.76, "ci_high": 1.01, "n": 7437, "source": "synthetic-NEJM-like"},

    {"trial_id": "T050", "drug_class": "finerenone", "outcome": "HHF", "year": 2021, "trial_name": "MOCK-FIN-HHF-A (synthetic)", "effect": 0.71, "ci_low": 0.56, "ci_high": 0.90, "n": 7437, "source": "synthetic-JACC-like"},
    {"trial_id": "T051", "drug_class": "finerenone", "outcome": "HHF", "year": 2024, "trial_name": "MOCK-FINEARTS-like (synthetic)", "effect": 0.84, "ci_low": 0.74, "ci_high": 0.95, "n": 6001, "source": "synthetic-NEJM-like"},

    {"trial_id": "T060", "drug_class": "dual_triple_agonist", "outcome": "MACE", "year": 2023, "trial_name": "MOCK-TZP-CV-A (synthetic)", "effect": 0.80, "ci_low": 0.55, "ci_high": 1.16, "n": 2100, "source": "synthetic-Lancet-like"},
    {"trial_id": "T061", "drug_class": "dual_triple_agonist", "outcome": "MACE", "year": 2025, "trial_name": "MOCK-SURPASS-CVOT-like (synthetic)", "effect": 0.79, "ci_low": 0.66, "ci_high": 0.95, "n": 13299, "source": "synthetic-NEJM-like"},

    {"trial_id": "T070", "drug_class": "SGLT2i", "outcome": "mortality", "year": 2015, "trial_name": "MOCK-SGLT-MORT-A (synthetic)", "effect": 0.68, "ci_low": 0.57, "ci_high": 0.82, "n": 7020, "source": "synthetic-NEJM-like"},
    {"trial_id": "T071", "drug_class": "SGLT2i", "outcome": "mortality", "year": 2019, "trial_name": "MOCK-SGLT-MORT-B (synthetic)", "effect": 0.98, "ci_low": 0.82, "ci_high": 1.17, "n": 17160, "source": "synthetic-NEJM-like"},
    {"trial_id": "T072", "drug_class": "SGLT2i", "outcome": "mortality", "year": 2022, "trial_name": "MOCK-SGLT-MORT-C (synthetic)", "effect": 1.04, "ci_low": 0.90, "ci_high": 1.20, "n": 5988, "source": "synthetic-NEJM-like"}
  ]
}