Evidence map›Paper›PMID 36566447›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2023

Assessing the Effects of Modern Renoprotective Agents in Preventing Progression of Renal Composite Outcomes in Patients with Type 2 Diabetes: A Network Meta-analysis.

Samit Ghosal, Binayak Sinha

Abstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

2 authors.

Samit GhosalNightingale Hospital, Kolkata, India. ramdasghosal@gmail.com.ORCID http://orcid.org/0000-0002-4141-5187
Binayak SinhaAMRI Hospital, Kolkata, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsType 2 diabetes is one of the leading causes of the development and progression of diabetic kidney disease, culminating in end-stage renal disease. Approximately two decades after successful implementation of the renin-angiotensin-aldosterone blocking system, three classes of agents [sodium glucose cotransporter 2 inhibitors (SGLT-2i), glucagon-like peptide 1 receptor agonists, and nonsteroidal mineralocorticoid receptor antagonists] have shown significant potential to confer renoprotection. This network meta-analysis was undertaken to construct a hierarchy based on indirect pairwise comparisons and rankings among and within these three classes of molecules.

methodsA Cochrane library-based web search yielded 16 randomized controlled trials for analysis. Stata/BE 17.0 and RStudio 2022.07.1 Build 554 software were used to conduct a frequentist network meta-analysis. The effect size was assessed based on the odds ratio, and the MDS (multidimensional scaling) rank system was used to identify a hierarchy among reno-protective molecules.

resultsRegarding the overall data, the SGLT-2i group of agents ranked higher than the other groups in preventing the progression of renal composite events in patients with T2D. Dapagliflozin ranked the highest among individual molecules.

conclusionsThe SGLT-2i group of agents, especially dapagliflozin, is best suited to complement metabolic control in preventing the progression of renal composite outcomes.

Indexed as

DapagliflozinFinerenoneGLP1-RANetwork meta-analysisSGLT-2is

Identifiers

PMID36566447
PMCPMC9943809

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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.