O-72 - KoGES (Korea) - egg intake not associated with CVD incidence in the whole cohort
O-72 — Egg intake quartiles ranged from ~0.1 to ~4.2 servings/week. See
Link to originalMethodology
KoGES Ansung-Ansan prospective cohort: 9,248 Korean adults aged 40-69 free of CVD/cancer at baseline, egg intake by FFQ (quartile means ~0.1 / 0.7 / 1.6 / 4.2 servings/week), mean 7.3y follow-up, 570 incident CVD cases. Cox models (Model 4 fully adjusted) for the whole cohort and pre-specified stratification by baseline T2DM status (615 with vs 8,633 without); baseline fasting lipids compared across egg-intake quartiles. The interaction between egg intake and T2DM status on CVD was the paper’s designed primary analysis.
Link to original
Why this is evidence
A second Asian (Korean) cohort shows no egg-CVD inverse (HR 1.14, NS), contradicting a uniform “inverse in Asia.” H-22 predicts Asian populations show the protective association; H-7 and H-50 predict the Kadoorie inverse is cohort-specific / not a robust regional feature, so other Asian cohorts need not reproduce it.
Likelihood
# E-126 (HC-2) — lone edge, one observation O-72 "KoGES (Korea): egg intake NOT associated with CVD in the
# whole cohort (HR 1.14, 0.87-1.49, p-trend 0.7)." Members in HC-2.hypotheses order [H-7, H-22, H-50].
# Anchored on H-7 = 1 (best fit); others as ratios (rule 7).
lik_o72_H7 = 1.0 # anchor: H-7 (the Kadoorie Asian inverse is cohort-specific healthy-user confounding, not
# a robust regional feature) predicts a second Asian cohort need not reproduce the inverse
# — KoGES's null / slightly-positive HR is exactly expected
lik_o72_H22 = 0.45 # 0.45×: genuine "inverse in Asia" predicts KoGES also protective; instead HR 1.14 NS —
# evidence against. Not lower because the CI (0.87-1.49) still admits a masked modest
# inverse, and A-24 (approved) shows the whole-cohort null partly reflects dilution of a
# diabetic-specific harm rather than a true zero effect
lik_o72_H50 = 0.9 # 0.9×: "the Kadoorie inverse is not a robust regional feature, other Asian cohorts vary"
# is squarely H-50's non-region / exposure-range / chance story — nearly as expected as
# H-7, marginally lower as a diffuse residual
t_o72 = 0.55 # cap = trust_score of O-72's source S-14 = 0.55 (already low, single mid-size cohort). No
# further dock: the whole-cohort HR rests on 570 cases and is reasonably precise (A-24's
# imprecision concern is about the 79-case diabetic subgroup O-73, not this datum); at cap
evidence("HC-2", ["O-72"], [lik_o72_H7, lik_o72_H22, lik_o72_H50], t=t_o72)