Comment on “Associations of semaglutide with first‐time diagnosis of Alzheimer's disease in patients with type 2 diabetes: Target trial emulation using nationwide real‐world data in the US”
Amin Salehi‐Abargouei, Taulant Muka, Tinh‐Hai Collet, Kasper P. Kepp, Angeline Chatelan

Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDiabetes Treatment and Management · Pharmaceutical Practices and Patient Outcomes · Metabolism, Diabetes, and Cancer
1
We are writing this letter in response to the article by Wang et al. recently published in Alzheimer's & Dementia.1 We commend the authors for addressing an important research question using real‐world data; however, substantial methodological limitations affecting the observed benefits of semaglutide (Ozempic®) over other glucose‐lowering medications need to be mentioned.
First, medications for type 2 diabetes mellitus (T2DM) should always be personalized based on medical history and personal preferences targeting glycemic control, as well as cardioprotection, nephroprotection, and other comorbidities.2 For instance, semaglutide usually is (i) not considered a first‐line therapy of T2DM and (ii) not prescribed to patients with underweight and/or experiencing weight loss (because it reduces body weight) or those with gastrointestinal conditions. Furthermore, the relationship between body mass and dementia risk is complicated as it probably depends on the nature and severity of the divergent body mass. Underweight in mid‐ and late‐life (and therefore weight loss in middle or older age) might be associated with a higher risk of dementia, whereas late‐life overweight could reduce this risk in some contexts.3 Additionally, insulin is usually prescribed when (i) the other glucose‐lowering medications are ineffective, and/or (ii) hyperglycemia is severe, especially if catabolic states like weight loss, hypertriglyceridemia, and ketosis are present.2 Therefore, those with uncontrolled diabetes4 and with diabetes comorbidities like hypertriglyceridemia,5 which are risk factors for dementia, are candidates for insulin therapy and not for semaglutide. In addition, Figure S4 by Wang et al. shows that patients in the semaglutide group had slightly different healthcare encounters compared to the other groups.1 In other words, the insulin group is the worst‐off among studied cohorts in a way not fully corrected for. The indication bias related to treatment selection should have been stated in the study limitations and additional analyses controlling for underweight or weight loss should have been added, if possible.
Second, although the authors tried controlling for possible confounders using propensity‐score matching, this method is prone to bias if confounders are not all taken into account.6 This seems likely because electronic health records (EHRs) rarely provide valid measures of diet and physical activity, which may be important confounders.7 Table 1 suggests this as less than 7% of patients treated with semaglutide or insulin were identified as having “problems with lifestyle,”1 while lifestyle measures should be actively reinforced before semaglutide prescription. This percentage is likely underestimated knowing that poor diet and lack of physical activity are key determinants of T2DM and its complications. The same caveat applies to the recording of socioeconomic determinants in EHRs; in many countries patients who use semaglutide have better socioeconomic status due to its high cost. These limitations should have been stated in the paper. In addition, it would be interesting to see and compare the incidence of Alzheimer's disease (AD) between the semaglutide and other glucose‐lowering medications groups in crude and multivariable‐adjusted models, without using propensity‐score matching.
Third, the progression of dementia or AD is very slow, age‐triggered, and may be delayed by many years, relative to onset, with substantial heterogeneity.8 People with early‐onset AD have increased healthcare utilization from 5 to 10 years prior to diagnosis9 and at least 5 years of follow‐up are recommended for AD prevention trials.10 However, Wang et al. observed a difference in AD incidence between the semaglutide and the other glucose‐lowering medications groups already in the first month in some comparisons and little effect after 700 days (≈2 years) (Kaplan–Meier plots, Figure 2B).1 Such “early effects” usually suggest a selection bias or missing confounders and, therefore, support our concern that the patient groups are not fully comparable. We believe that a sensitivity analysis by removing those diagnosed with AD in the first year (even 2 years) of the follow‐up would help to estimate the longer‐term effects of semaglutide.
Overall, the article by Wang and colleagues1 has several methodological limitations that might affect the suggested benefits of 40 to 70% reduced risk of AD if T2DM is treated with semaglutide. While the drug is surely of interest for the treatment of dementia, we need more studies that adjust for high risks of: (i) selection bias due to treatment strategies selection; (ii) residual confounding by important socioeconomic, body mass, physical activity, and dietary confounders; and (iii) reverse causation due to short follow‐up period, and possible delay in AD diagnosis. Implementing the additional suggested analyses and avoiding using causal language due to the study design could bring new insights into the findings and strengthen confidence in them.
AUTHOR CONTRIBUTIONS
Amin Salehi‐Abargouei wrote the first draft of the manuscript with Angeline Chatelan. Taulant Muka, Tinh‐Hai Collet, and Kasper P. Kepp reviewed and critically revised the draft. All authors read and approved the final manuscript.
CONFLICT OF INTEREST STATEMENT
The authors have no conflicting interests to declare. Author disclosures are available in the Supporting Information.
Supporting information
Supporting Information
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Wang W , Wang Q , Qi X , et al. Associations of semaglutide with first‐time diagnosis of Alzheimer's disease in patients with type 2 diabetes: target trial emulation using nationwide real‐world data in the US. Alzheimers Dement. 2024;20:8661‐8672. doi:10.1002/alz.14313 39445596 PMC 11667504 · doi ↗ · pubmed ↗
- 2American Diabetes Association Professional Practice Committee . 9. Pharmacologic approaches to glycemic treatment: standards of care in diabetes‐2024. Diabetes Care. 2024;47(Suppl 1):S 158‐S 178. Erratum in: Diabetes Care. 2024;47(7):1238.38078590 10.2337/dc 24-S 009PMC 10725810 · doi ↗ · pubmed ↗
- 3Qu Y , Hu HY , Ou YN , et al. Association of body mass index with risk of cognitive impairment and dementia: a systematic review and meta‐analysis of prospective studies. Neurosci Biobehav Rev. 2020;115:189‐198.32479774 10.1016/j.neubiorev.2020.05.012 · doi ↗ · pubmed ↗
- 4Xu WL , von Strauss E , Qiu CX , Winblad B , Fratiglioni L . Uncontrolled diabetes increases the risk of Alzheimer's disease: a population‐based cohort study. Diabetologia. 2009;52(6):1031‐1039.19280172 10.1007/s 00125-009-1323-x · doi ↗ · pubmed ↗
- 5Takechi R , Lam V , Mamo JCL . Diabetic hypertriglyceridaemia and Alzheimer's disease: causal or not? Curr Opin Endocrinol Diabetes Obes. 2022;29(2):101‐105.34845160 10.1097/MED.0000000000000696 · doi ↗ · pubmed ↗
- 6Yang JY , Webster‐Clark M , Lund JL , Sandler RS , Dellon ES , Stürmer T . Propensity score methods to control for confounding in observational cohort studies: a statistical primer and application to endoscopy research. Gastrointest Endosc. 2019;90(3):360‐369.31051156 10.1016/j.gie.2019.04.236PMC 6715456 · doi ↗ · pubmed ↗
- 7Farmer R , Mathur R , Bhaskaran K , Eastwood SV , Chaturvedi N , Smeeth L . Promises and pitfalls of electronic health record analysis. Diabetologia. 2018;61(6):1241‐1248.29247363 10.1007/s 00125-017-4518-6PMC 6447497 · doi ↗ · pubmed ↗
- 8Kvello‐Alme M , Bråthen G , White LR , Sando SB . Time to diagnosis in young onset Alzheimer's disease: a population‐based study from central Norway. J Alzheimers Dis. 2021;82(3):965‐974.34120901 10.3233/JAD-210090 PMC 8461696 · doi ↗ · pubmed ↗
