Evidence mapPaperPMID 30255388Full record

SynthesisClinical drug investigation2018

The Effects of Novel Antidiabetic Drugs on Albuminuria in Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis of Randomized Controlled Trials.

Ya Luo, Kai Lu, Gang Liu, Jing Wang, Irakoze Laurent, Xiaoli Zhou

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Clinical drug investigation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Comparative Efficacy of Novel Antidiabetic Drugs on Albuminuria Outcomes in Type 2 Diabetes: A Systematic Review.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2023
    Review
  4. Review
  5. Article
  6. Review
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

6 authors at 1 institution in 1 country.

Ya LuoDepartment of Cardiology, The First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China.
Kai LuDepartment of Cardiology, The First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China.
Gang LiuDepartment of Cardiology, The First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China.
Jing WangDepartment of Cardiology, The First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China.
Irakoze LaurentDepartment of Endocrinology, The First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China.
Xiaoli ZhouDepartment of Cardiology, The First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China. xlzhoucqmu@outlook.com.ORCID http://orcid.org/0000-0001-8299-7948
The Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe effects of novel antidiabetic drugs, including sodium-glucose cotransporter 2 (SGLT-2) inhibitors, glucagon-like peptide 1 (GLP-1) receptor agonists, and dipeptidyl peptidase 4 (DPP-4) inhibitors, on albuminuria in patients with type 2 diabetes mellitus (T2DM) are still controversial. Therefore, we performed a meta-analysis to evaluate the effects of novel antidiabetic drugs on albuminuria in patients with T2DM.

methodsWe conducted a random-effects meta-analysis of randomized controlled trials (RCTs) by searching the MEDLINE, EMBASE and Cochrane Central Register of Controlled Trials databases up to 16 August 2018. The effects of novel antidiabetic drugs on albuminuria were evaluated as percent changes from baseline to follow-up urinary albumin excretion/urinary albumin to creatinine ratio (UAE/UACR) levels in both the intervention and control groups. Data regarding percent changes were used to generate weighted mean differences (WMDs) and 95% confidence intervals (CIs).

resultsIn this meta-analysis, 26 RCTs involving 14,929 patients were included. Pooled analysis suggested that SGLT-2 inhibitors (WMD - 26.23%, 95% CI - 35.90 to - 16.56; p < 0.00001) and GLP-1 receptor agonists (WMD - 13.85%, 95% CI - 15.96 to - 11.74; p < 0.00001) were associated with a significant reduction in albuminuria compared with other conventional therapies or placebo. DPP-4 inhibitors (WMD - 6.19%, 95% CI - 14.03 to 1.66; p = 0.12) were not significantly associated with lower albuminuria than other conventional therapies or placebo.

conclusionThis meta-analysis indicates that SGLT-2 inhibitors and GLP-1 receptor agonists were associated with a reduction in albuminuria compared with other conventional therapies or placebo, while DPP-4 inhibitors were not associated with albuminuria-reducing effects compared with other conventional therapies or placebo.

Indexed as

Glucagon-Like Peptide-1 Receptor AgonistsAlbuminuriaDiabetes Mellitus, Type 2Dipeptidyl-Peptidase IV InhibitorsGlucagon-Like Peptide-1 ReceptorHumansHypoglycemic AgentsRandomized Controlled Trials as TopicSodium-Glucose Transporter 2Treatment OutcomeDipeptidyl-Peptidase IV InhibitorsGlucagon-Like Peptide-1 ReceptorGlucagon-Like Peptide-1 Receptor AgonistsHypoglycemic AgentsSLC5A2 protein, humanSodium-Glucose Transporter 2

Identifiers

PMID30255388
OpenAlexW2892965618

What Socratic holds

Textmetadata
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.