Cohort studyindependent cross-checkabstract only checked★ key study I-ODD-09 in-depth review

SGLT2 drugs and ketoacidosis

Sodium-Glucose Cotransporter-2 Inhibitors and the Risk for Diabetic Ketoacidosis : A Multicenter Cohort Study.

Overview

Douros A et al.. Ann Intern Med 2020 · PMID 32716707 · DOI 10.7326/M20-0289

About 2 per 1,000 users per year developed ketoacidosis, nearly 3 times more than with DPP-4 drugs.

Does the study support the specific claim? Yes · Methodological quality: high

Original publication

Plain-language summary

Study explained simply
What did the researchers want to find out?

SGLT2 vs DPP-4 inhibitors and DKA risk

How was the study done?

Multicentre population-based cohort (prevalent new-user design, propensity-matched)

How many people, animals or samples were studied?

208,757 matched pairs; Type 2 diabetes new users

What was actually found?

HR 2.85.

How large was the observed effect?

HR 2.85 (1.99-4.08)

What do the results mean in everyday life?

Rare but real; caution with fasting/illness.

What are the study's limitations?

No lab data; Unmeasured confounding

What does it say about Elawady's specific claim?

Supports C-ODD-02; relevant to C-FAST-03.

Do the results apply to Germany and Europe?

UK data included.

What can explicitly not be concluded from this study?

That the drugs are net harmful.

Scientific in-depth review

1. Full reference

Authors
Douros A et al.
Journal
Ann Intern Med
Year
2020
Identifier
PMID 32716707 DOI 10.7326/M20-0289
Verification
verified – PubMed efetch 2026-10-25 (this agent)
Retracted
no
Corrections
none
Extent checked
abstract only
Conflicts of interest and funding

CIHR funded.

2. Research question

SGLT2 vs DPP-4 inhibitors and DKA risk

3. Study design and population

Study design
Cohort study – Multicentre population-based cohort (prevalent new-user design, propensity-matched)
Population

Type 2 diabetes new users

Country

Canada (7 provinces) and UK

Period

2013-2018

Sample size

208,757 matched pairs

Inclusion and exclusion criteria

As described in the abstract; details not available in abstract.

4. Methods and endpoints

Exposure / intervention

SGLT2 inhibitors

Comparator

DPP-4 inhibitors

Endpoints

DKA

Statistical methods

Cox, random-effects pooling

5. Actual results

Results

521 DKA cases in 370,454 PY. Incidence 2.03 vs 0.75 per 1,000 PY; HR 2.85 (1.99-4.08); dapagliflozin 1.86, empagliflozin 2.52, canagliflozin 3.58; prior insulin appeared to decrease risk.

Absolute risks

About 1.3 extra DKA cases per 1,000 person-years.

Authors' conclusion

Almost 3-fold increased DKA risk; class effect.

6. Strengths

  • Very large
  • Active comparator
  • Multinational

7. Weaknesses

  • No lab data
  • Unmeasured confounding

8. Risk of bias

Orienting tool
ROBINS-E
Type of assessment
simplified assessment (abstract only)
Full formal assessment
no
Overall risk of bias
some concerns
Rationale

Well-designed pharmacoepidemiology.

9. Assessment of the statistical interpretation

Consistent relative increase; low absolute risk.

10. Relevance to the specific claim

Supports C-ODD-02; relevant to C-FAST-03.

11. Independent contrary findings

12. Transferability to Germany and Europe

UK data included.

13. Overall methodological judgement

Robust evidence of increased but rare DKA.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualityhigh
Risk of biassome concerns
Precision of resultshigh
Directnessdirect
Reproducibilityreplicated
Consistency with the overall evidenceconsistent
Regional transferabilityhigh
Adequacy of the interpretation (by the archive)not applicable

14. Open questions

None beyond those stated.

15. Linked fact checks