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Gout: what a comparator can and cannot tell you

A study of 295,907 adults found less gout on SGLT2 inhibitors than on GLP-1 drugs. It is often cited as showing GLP-1 drugs cause gout. With no untreated group, it cannot show that.

Ruth Alvarez5 min read
Gout, events per 1,000 person-yearsSGLT2 inhibitor4.9GLP-1 agonist7.8no treatmentnot in the studyWithout the third bar, neither rate can be called high or low.

A study comparing two drugs produces one number and two possible readings, and only one of them is supported. This is a clean example, and it is worth working through because the misreading circulates — a reader who has heard that these drugs raise gout risk has probably met this study wearing the wrong label — the same way a composite gets over-heard in what a composite endpoint hides.

What was compared

Researchers identified 295,907 adults with type 2 diabetes newly prescribed either an SGLT2 inhibitor or a GLP-1 receptor agonist [1]. Gout occurred at 4.9 events per 1,000 person-years in the SGLT2 group and 7.8 in the GLP-1 group — a hazard ratio of 0.64 (95% CI 0.57 to 0.72) and a rate difference of 2.9 events per 1,000 person-years (95% CI 2.1 to 3.6).

The authors’ conclusion is that SGLT2 inhibitors may reduce the risk of gout, and they say further studies are needed to confirm it. SGLT2 inhibitors have a known mechanism for this: they increase urinary excretion of uric acid, which is what causes gout.

Why the misreading is easy

Because an active-comparator design is a good way to answer a clinical question — which of two drugs should this patient take — and a bad way to answer a safety question about either one alone. The output is a ratio, ratios have a numerator and a denominator, and a reader who cares about the denominator will read the ratio as being about it.

The same structure appears throughout this literature. A result reported against another drug, or against people who were prescribed nothing for reasons nobody recorded, is answering a narrower question than its sentence suggests — which is the thread running through what the semaglutide trials are worth and the suicidal ideation cohorts.

What this does and does not change

If you have gout and type 2 diabetes and a choice between these two classes, this study is directly relevant and points one way. If you have gout and are considering a GLP-1 drug for weight, it tells you almost nothing, because the population is different and the comparison you care about is absent.

That is worth knowing before a seller’s page cites a study at you. Most storefronts tracked here publish no evidence summary at all, and the ones that do rarely name the comparator — a gap in the same family as the ones counted in what sellers will not tell you and what happens outside a trial.

Frequently asked

Do GLP-1 drugs cause gout?
This study cannot say. It compared two active drugs and found less gout on the SGLT2 inhibitor, with no untreated group to establish whether the GLP-1 rate is high, normal or low.
What did the study actually conclude?
That SGLT2 inhibitors may reduce the risk of gout, which they have a known mechanism for — increasing urinary excretion of uric acid.
Why does this keep happening?
An active-comparator design answers which of two drugs a patient should take, and is a poor instrument for a safety question about either one alone. The output is a ratio, and readers read ratios as being about whichever half they care about.

Sources

  1. [1] Fralick M, et al. (2020). Assessing the Risk for Gout With Sodium-Glucose Cotransporter-2 Inhibitors in Patients With Type 2 Diabetes: A Population-Based Cohort Study Annals of Internal Medicine. PMID 31931526

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