Evidence map›Paper›PMID 34797368›Full record

ArticleJAMA network open2021

Association of Sodium-Glucose Transport Protein 2 Inhibitor Use for Type 2 Diabetes and Incidence of Gout in Taiwan.

Mu-Chi Chung, Peir-Haur Hung, Po-Jen Hsiao, Laing-You Wu, Chao-Hsiang Chang, Ming-Ju Wu, Jeng-Jer Shieh, Chi-Jung Chung

Open access · goldAbstract readComparative Study
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Mu-Chi ChungDivision of Nephrology, Department of Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Peir-Haur HungDepartment of Internal Medicine, Ditmanson Medical Foundation Chiayi Christian Hospital, Chiayi, Taiwan.
Po-Jen HsiaoDepartment of Urology, China Medical University and Hospital, Taichung, Taiwan.
Laing-You WuInstitute of Biomedical Sciences, National Chung Hsing University, Taichung, Taiwan.
Chao-Hsiang ChangDepartment of Urology, China Medical University and Hospital, Taichung, Taiwan.
Ming-Ju WuDivision of Nephrology, Department of Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Jeng-Jer ShiehRong Hsing Research Center For Translational Medicine, National Chung Hsing University, Taichung, Taiwan.
Chi-Jung ChungDepartment of Public Health, College of Public Health, China Medical University, Taichung, Taiwan.
National Chung Hsing University · TWChina Medical University Hospital · TWChia Nan University of Pharmacy and Science · TWChina Medical University · TWTaichung Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The use of sodium-glucose transport protein 2 (SGLT2) inhibitors is currently a standard intervention in patients with type 2 diabetes (T2DM) and exerts favorable pleiotropic effects to consistently lower blood urate levels. However, to date, no association between SGLT2 inhibitor use and the incidence of gout have been established. Objective: To investigate whether prescribed SGLT2 inhibitors are associated with lower gout incidence in patients with T2DM. Design, Setting, and Participants: In a cohort study, all patients with incident T2DM in Taiwan National Health Institution databases between May 1, 2016, and December 31, 2018, were retrospectively analyzed. As a comparator, patients using dipeptidyl peptidase 4 (DPP4) inhibitors were included. A total of 47 905 individuals receiving an SGLT2 inhibitor and 183 303 receiving a DPP4 inhibitor were evaluated, along with 47 405 pairs of patients using an SGLT2 inhibitor or DPP4 inhibitor in 1:1 propensity score-matched analyses. Data analysis was conducted from April 1 to June 30, 2021. Main Outcomes and Measures: A gout diagnosis was based on the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and the International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM). Multiple Cox proportional hazards regression models were used to calculate hazard ratios (HRs) and 95% CIs. Results: In total, 231 208 patients with T2DM were included in the population; 113 812 individuals (49.22%) were women, and the mean (SD) age was 61.53 (12.86) years. The overall gout incidence was 20.26 per 1000 patient-years for SGLT2 inhibitor users and 24.30 per 1000 patient-years for DPP4 inhibitor users. When potential risk factors were adjusted in the propensity score-matched population, use of SGLT2 inhibitors was associated with a lower risk of gout (HR, 0.89; 95% CI, 0.82-0.96) compared with DPP4 inhibitors, particularly for patients receiving dapagliflozin (HR, 0.86; 95% CI, 0.78-0.95). A sensitivity analysis, performed when a gout diagnosis was ascertained using the ICD-9-CM or ICD-10-CM code with gout-related medication, also showed a significantly lower risk for gout incidence of 15% with SGLT2 inhibitors (HR, 0.85; 95% CI, 0.74-0.97). Subgroup analysis indicated that SGLT2 inhibitor benefits in patients with T2DM to achieve a lower gout risk were not different across subgroups. Conclusions and Relevance: The findings of this study suggest that patients with T2DM who are receiving SGLT2 inhibitors may have a lower risk for gout compared with those receiving DPP4 inhibitors.

Indexed as

AgedAged, 80 and overCohort StudiesDiabetes Mellitus, Type 2FemaleGoutHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk FactorsSodium-Glucose Transporter 2 InhibitorsTaiwanSodium-Glucose Transporter 2 Inhibitors

Identifiers

PMID34797368
PMCPMC8605485
OpenAlexW3213904373

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.