Evidence map›Paper›PMID 26672798›Full record

ArticleCardiovascular diagnosis and therapy2015

DPP-4 inhibitors, heart failure and type 2 diabetes: all eyes on safety.

Francesco Paneni

Open access · greenAbstract read
In one paragraph

Article in Cardiovascular diagnosis and therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Francesco PaneniCardiology Unit, Department of Medicine, Karolinska University Hospital, Solna, Stockholm, Sweden.
Karolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological analyses have clearly outlined the association between heart failure (HF) and diabetes (DM). HF patients with concomitant DM show a further increase in morbidity and mortality due to coexistence of several mechanisms including disturbed neurohormonal axis as well as structural and functional abnormalities occurring in the diabetic myocardium. Although several studies have shown that poor glycemic control-as indicated by HbA1c levels-may be associated with an increased risk of HF, this issue remains poorly understood and further evidence is required to show unequivocal benefits of this approach. In the attempt to explore the effects of new anti-hyperglycemic therapies, randomized trials have shown that some glucose-lowering drugs-thought not affecting cardiovascular (CV) death or ischemic complications-might significantly increase the risk of HF-hospitalizations in DM patients. Specifically, the use of dipeptidyl-peptidase-4 (DDP-4) inhibitors (DPP-4i) has recently raised a major safety concern owing to an increase of HF hospitalizations in SAVOR-TIMI 53 trial. In contrast with these findings, the more recent TECOS study as well as new TECOS sub-analyses presented at the last ESC Congress-have yielded to the conclusion that the DPP-4i sitagliptin is not associated with any sort of HF risk. Therefore, increased risk of HF hospitalizations does not seem to be a class effect of DPP-4i. The present article critically discusses available evidence concerning DPP-4i and risk of HF in patients with type 2 diabetes (T2D). The use of DPP-4i in combination therapy is also discussed, in light of the recent EMPA-REG trial.

Indexed as

cardiovascular disease (CVD)clinical trialsDDP-4 inhibitorsheart failure (HF)safetyType 2 diabetes (T2D)

Identifiers

PMID26672798
PMCPMC4666697
OpenAlexW2109019361

What OpenQuestion 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 OpenQuestion graph.