Evidence mapPaperPMID 33413348Full record

SynthesisCardiovascular diabetology2021

Cardiovascular and renal outcomes with SGLT-2 inhibitors versus GLP-1 receptor agonists in patients with type 2 diabetes mellitus and chronic kidney disease: a systematic review and network meta-analysis.

Takayuki Yamada, Mako Wakabayashi, Abhinav Bhalla, Nitin Chopra, Hirotaka Miyashita, Takahisa Mikami, Hiroki Ueyama, Tomohiro Fujisaki, Yusuke Saigusa, Takahiro Yamaji and 6 more

Open access · goldAbstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in Cardiovascular diabetology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 15 pooled it
16.1field-weighted citation impact, top 1% 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

89 citing papers in PubMed, 15 syntheses or guidelines pooled it, 145 citations in OpenAlex.

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29 more citing papers are in PubMed but not listed here.

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

16 authors at 5 institutions in 2 countries.

Takayuki YamadaDepartment of Medicine, Mount Sinai Beth Israel, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Mako WakabayashiDepartment of Medicine, Nippon Medical School Hospital, Tokyo, Japan.
Abhinav BhallaDepartment of Medicine, Mount Sinai Beth Israel, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Nitin ChopraDepartment of Medicine, Mount Sinai Beth Israel, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Hirotaka MiyashitaDepartment of Medicine, Mount Sinai Beth Israel, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Takahisa MikamiDepartment of Neurology, Tufts Medical Center, Boston, MA, USA.
Hiroki UeyamaDepartment of Medicine, Mount Sinai Beth Israel, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Tomohiro FujisakiDepartment of Medicine, Mount Sinai Morningside and West, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Yusuke SaigusaDepartment of Biostatistics, Yokohama City University School of Medicine, Yokohama, Japan.
Takahiro YamajiDepartment of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, 3 Chome-9 Fukuura, Kanazawa Ward, Yokohama, Kanagawa, 236-0004, Japan.
Kengo AzushimaDepartment of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, 3 Chome-9 Fukuura, Kanazawa Ward, Yokohama, Kanagawa, 236-0004, Japan.
Shingo UrateDepartment of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, 3 Chome-9 Fukuura, Kanazawa Ward, Yokohama, Kanagawa, 236-0004, Japan.
Toru SuzukiDepartment of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, 3 Chome-9 Fukuura, Kanazawa Ward, Yokohama, Kanagawa, 236-0004, Japan.
Eriko AbeDepartment of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, 3 Chome-9 Fukuura, Kanazawa Ward, Yokohama, Kanagawa, 236-0004, Japan.
Hiromichi WakuiDepartment of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, 3 Chome-9 Fukuura, Kanazawa Ward, Yokohama, Kanagawa, 236-0004, Japan. hiro1234@yokohama-cu.ac.jp.
Kouichi TamuraDepartment of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, 3 Chome-9 Fukuura, Kanazawa Ward, Yokohama, Kanagawa, 236-0004, Japan.
Yokohama City University · JPIcahn School of Medicine at Mount Sinai · USMount Sinai Beth Israel · USNippon Medical School Hospital · JPTufts Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmerging evidence suggests that sodium-glucose cotransporter-2 (SGLT-2) inhibitors and glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are associated with decreased risk of cardiovascular and renal events in type 2 diabetes mellitus (DM) patients. However, no study to date has compared the effect of SGLT-2 inhibitors with that of GLP-1 RAs in type 2 DM patients with chronic kidney disease (CKD). We herein investigated the benefits of SGLT-2 inhibitors and GLP-1 RAs in CKD patients.

methodsWe performed a systematic literature search through November 2020. We selected randomized control trials that compared the risk of major adverse cardiovascular events (MACE) and a composite of renal outcomes. We performed a network meta-analysis to compare SGLT-2 inhibitors with GLP-1 RAs indirectly. Risk ratios (RRs) with corresponding 95% confidence intervals (CI) were synthesized.

resultsThirteen studies were selected with a total of 32,949 patients. SGLT-2 inhibitors led to a risk reduction in MACE and renal events (RR [95% CI]; 0.85 [0.75-0.96] and 0.68 [0.59-0.78], respectively). However, GLP-1 RAs did not reduce the risk of cardiovascular or renal adverse events (RR 0.91 [0.80-1.04] and 0.86 [0.72-1.03], respectively). Compared to GLP-1 RAs, SGLT-2 inhibitors did not demonstrate a significant difference in MACE (RR 0.94 [0.78-1.12]), while SGLT-2 inhibitors were associated with a lower risk of renal events compared to GLP-1 RAs (RR 0.79 [0.63-0.99]). A sensitivity analysis revealed that GLP-1 analogues significantly decreased MACE when compared to placebo treatment (RR 0.81 [0.69-0.95]), while exendin-4 analogues did not (RR 1.03 [0.88-1.20]).

conclusionsIn patients with type 2 DM and CKD, SGLT-2 inhibitors were associated with a decreased risk of cardiovascular and renal events, but GLP-1 RAs were not. SGLT-2 inhibitors significantly decreased the risk of renal events compared to GLP-1 RAs. Among GLP-1 RAs, GLP-1 analogues showed a positive impact on cardiovascular and renal outcomes, while exendin-4 analogues did not.

Indexed as

Glucagon-Like Peptide-1 Receptor AgonistsAgedCardiovascular DiseasesDiabetes Mellitus, Type 2Disease ProgressionFemaleGlucagon-Like Peptide-1 ReceptorHumansIncretinsMaleRenal Insufficiency, ChronicRisk AssessmentRisk FactorsSodium-Glucose Transporter 2 InhibitorsTreatment OutcomeGLP1R protein, humanGlucagon-Like Peptide-1 ReceptorGlucagon-Like Peptide-1 Receptor AgonistsIncretinsSodium-Glucose Transporter 2 InhibitorsCardiovascular diseaseChronic kidney diseaseDiabetes mellitusGLP-1 receptor agonistMeta-analysisRenal outcomesSGLT2 inhibitors

Identifiers

PMID33413348
PMCPMC7792332
OpenAlexW3101200379

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.