- Design
- Systematic review and meta-analysis of eleven longitudinal cohorts
- Population
- Adults in cohorts reporting long-term glucose variability and incident PAD
- Primary outcome
- Risk ratio of peripheral artery disease, high versus low variability
- Effect
- RR 1.42 (95% CI 1.21-1.66), p<0.001; I-squared 91%
A systematic review and meta-analysis pooled eleven longitudinal cohorts to ask whether long-term glycaemic variability — the swing between readings over months and years, rather than the average — predicts incident peripheral artery disease.
Higher variability was associated with a risk ratio of 1.42 for PAD (95% CI 1.21 to 1.66, p<0.001). The association held across subgroups defined by region, study design, diabetes status, which variability metric was used, how PAD was diagnosed, and whether the analysis adjusted for HbA1c — that last point being the one that matters most, because it suggests variability is carrying information the average does not.
The caution is heterogeneity, and it is substantial: I-squared was 91%. One subgroup difference was significant — cohorts followed for under eight years showed a stronger association than those followed longer (RR 1.64 versus 1.19, p=0.006), which is the pattern you would expect if some of the early signal reflects people who were already unwell.
- Eleven cohorts; high versus low long-term glycaemic variability.
- The association persisted after adjustment for HbA1c, so this is not simply average glycaemia in another form.
- Shorter follow-up gave a stronger signal (RR 1.64 under 8 years versus 1.19 at or beyond), which argues for some reverse causation.
Why it matters
Peripheral artery disease in diabetes is usually found late, and this points at a risk marker already sitting in records you hold.
Don't overread it
This is observational and I-squared was 91%. It establishes an association, not that smoothing variability prevents peripheral artery disease.
The statistics, in plain English
A risk ratio of 1.42 means the high-variability group developed PAD about 42% more often. The confidence interval, 1.21 to 1.66, excludes 1, so the direction is reasonably firm; the width, and the very high heterogeneity, mean the size of the effect is not.
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