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Record W4403148879 · doi:10.1210/jendso/bvae163.953

8149 The Effect of SGLT2 Inhibitors On NAFLD In Patients With Type 2 Diabetes: A Systematic Review And Meta-Analysis Of Randomized Controlled Trials

2024· review· en· W4403148879 on OpenAlexaff
Francinny Alves Kelly, Maria Eduarda Cavalcanti Souza, Artur Menegaz de Almeida, Ítalo Barros Andrade, Victória Morbach, Eric Pasqualotto, Matheus Budahazi Jardine, Renan Yuji Ura Sudo, Pedro Lucas Gomes Lima, Marianna G H S J Leite, Maria Luísa Siegloch Barros, Jorge Henrique Cavalcanti Orestes Cardoso, Izael Pereira da Silva, Francisco Cézar Aquino de Moraes, Felipe Dircêu Dantas Leite Pessôa, Artur de Oliveira Macena Lôbo, Lucca Moreira Lopes, Micael Porto Portela Lima

Bibliographic record

VenueJournal of the Endocrine Society · 2024
Typereview
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMeta-analysisRandomized controlled trialType 2 diabetesMedicineInternal medicineDiabetes mellitusEndocrinology

Abstract

fetched live from OpenAlex

Abstract Disclosure: F.A. Kelly: None. M.C. Souza: None. A.M. De Almeida: None. I.B. Andrade: None. V. Morbach: None. E. Pasqualotto: None. M.B. Jardine: None. R.Y. Ura Sudo: None. P.G. Lima: None. M.G. Leite: None. M.S. Barros: None. J.C. Cardoso: None. I.P. da Silva: None. F.A. Moraes: None. F.D. Pessôa: None. A.D. Lôbo: None. L.M. Lopes: None. M.P. Lima: None. Type 2 diabetes (T2D) globally afflicts millions, entailing complications beyond hyperglycemia. Ectopic fat, the perilous accumulation of adipose tissue infiltrating vital organs, fuels a harmful cycle of insulin resistance and inflammation. Managing ectopic fat in T2D poses a significant challenge, compounded by non-alcoholic fatty liver disease (NAFLD) comorbidities that reduce life expectancy. Conventional interventions often inadequately address this issue. While current treatments predominantly target blood sugar, ectopic fat persists, contributing to complications like cardiovascular disease, fatty liver disease, and cancer. Sodium-glucose cotransporter 2 inhibitors (SGLT2i), recognized for lowering blood sugar, have garnered interest for their potential impact on ectopic fat. These medications induce metabolic benefits beyond glycemic control by promoting urinary glucose excretion, presenting a promising avenue for addressing the intricate challenges of T2D.This meta-analysis aims to evaluate the potential of SGLT2 inhibitors, established glucose-lowering drugs in T2D, to reduce ectopic fat accumulation and mitigate its associated risks.PubMed, Embase, Web of Science, and Cochrane Library databases were systematically searched for randomized controlled trials (RCT) comparing the use of SGLT2i versus other therapies in patients with T2D and NAFLD. A random-effects model was used to calculate the mean differences (MD) with 95% confidence intervals (CI). Statistical analysis was performed in R software 4.3.1. A total of 9 RCTs comprising 558 patients were included, of whom 252 were randomized to SGLT2i therapy, 101 to pioglitazone, 166 to placebo, and 39 to other treatments. The mean follow-up was 21 weeks. In the pooled analysis, SGLT2i therapy was associated with a significant reduction in body weight (MD -1.81 kg; 95% CI -2.74,-0.88; p<0.001), alanine aminotransferase (ALT) (MD -4.29 U/L; 95% CI -8.35,-0.22; p=0.038), visceral adipose tissue (VAT) (MD -10.37 cm²; 95% CI -12.68,-8.06, p<0.001); and subcutaneous adipose tissue (SCAT) (MD -9.52 cm²; 95% CI -11.69, -7.34, p<0.001). There were no significant differences for body mass index (MD -0.14 kg/m2; 95% CI -0.94, 0.64; p=0.716), aspartate aminotransaminase (MD 1.18 U/L; 95% CI -3.96,6.34; p=0.651), controlled attenuation parameter (MD -2.44 dB/m; 95% CI -20.41,15.51; p=0.789), gamma-glutamyl transpeptidase (MD -1.10 U/L; 95% CI -15.73,13.52; p=0.882), and HbA1c (MD -0.13%; 95% CI -0.44,0.17; p=0.384).In this meta-analysis of RCTs of patients with T2D and NAFLD, the use of SGLT2i showed a significant reduction in body weight, ALT, SCAT, and VAT. Presentation: 6/3/2024

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesMeta-epidemiology (broad)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.297
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0420.022
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.339
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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