Evidence mapPaperPMID 38328413Full record

ArticleThe Lancet regional health. Europe2024

Long-term benefits of dapagliflozin on renal outcomes of type 2 diabetes under routine care: a comparative effectiveness study on propensity score matched cohorts at low renal risk.

Gian Paolo Fadini, Enrico Longato, Mario Luca Morieri, Stefano Del Prato, Angelo Avogaro, Anna Solini, DARWIN-Renal Study Investigators

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
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

11 citing papers in PubMed.

  1. Review
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  3. Article
  4. Selenium-Enriched Submerged Fermentation ofFood science & nutrition · 2025
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  6. Observational
  7. Article
  8. Review
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  10. Article
  11. Article
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

7 authors.

Gian Paolo FadiniDivision of Metabolic Diseases, Department of Medicine, University of Padova, 35128 Padova, Italy.
Enrico LongatoDepartment of Information Engineering, University of Padova, 35100 Padua, Italy.
Mario Luca MorieriDivision of Metabolic Diseases, Department of Medicine, University of Padova, 35128 Padova, Italy.
Stefano Del PratoDepartment of Clinical & Experimental Medicine, University of Pisa and Sant'Anna School of Advanced Studies, 56126 Pisa, Italy.
Angelo AvogaroDivision of Metabolic Diseases, Department of Medicine, University of Padova, 35128 Padova, Italy.
Anna SoliniDepartment of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Italy.
DARWIN-Renal Study Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the overall improvement in care, people with type 2 diabetes (T2D) experience an excess risk of end-stage kidney disease. We evaluated the long-term effectiveness of dapagliflozin on kidney function and albuminuria in patients with T2D. Methods: We included patients with T2D who initiated dapagliflozin or comparators from 2015 to 2020. Propensity score matching (PSM) was performed to balance the two groups. The primary endpoint was the change in estimated glomerular filtration rate (eGFR) from baseline to the end of observation. Secondary endpoints included changes in albuminuria and loss of kidney function. Findings: We analysed two matched groups of 6197 patients each. The comparator group included DPP-4 inhibitors (40%), GLP-1RA (22.3%), sulphonylureas (16.1%), pioglitazone (8%), metformin (5.8%), or acarbose (4%). Only 6.4% had baseline eGFR <60 ml/min/1.73 m Interpretation: Initiating dapagliflozin improved kidney function outcomes and albuminuria in patients with T2D and a low renal risk. Funding: Funded by the Italian Diabetes Society and partly supported by a grant from AstraZeneca.

Indexed as

Chronic kidney diseaseObservationalPreventionSGLT2 inhibitorsType 2 diabetes

Identifiers

PMID38328413
PMCPMC10847023

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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 Socratic graph.