quantitative
Analysis v1
60
Pro
0
Against

The studies in this review didn’t all agree with each other, but the reason for the disagreement wasn’t because of differences in how old the people were, how long they were followed, or how good the studies were.

Scientific Claim

The heterogeneity among studies included in the meta-analysis was statistically significant for both coronary heart disease (P=0.04) and stroke (P=0.01), but could not be explained by differences in age, sex, study quality, follow-up duration, or outcome confirmation methods.

Original Statement

We documented heterogeneity among studies that examined saturated fat in relation to CHD (P=0.04) or stroke (P=0.01). However, age (P=0.16 for CHD, 0.40 for stroke), sex (P=0.52 for CHD, 0.25 for stroke), sample size (P=0.44 for CHD, 0.71 for stroke), duration of follow-up (P=0.53 for CHD, 0.42 for stroke), medical record review for CVD outcome confirmation (P=0.17 for CHD, 0.30 for stroke), and study quality as assessed by a quality score (P=0.62 for CHD, 0.70 for stroke) could not explain this heterogeneity.

Evidence Quality Assessment

Claim Status

appropriately stated

Study Design Support

Design supports claim

Appropriate Language Strength

association

Can only show association/correlation

Assessment Explanation

The claim accurately reports a statistical result (P-values) and the study’s own analysis of potential moderators. No causal interpretation is implied, which is appropriate.

Evidence from Studies

Supporting (1)

60

The study found that different results across studies couldn’t be explained by things like age, sex, or how well the studies were done, which matches the claim.

Contradicting (0)

0
No contradicting evidence found