Evidence mapPaperPMID 42007145Full record

ReviewAmerican journal of translational research2026

Impact of SGLT-2 inhibitors on long-term prognosis in patients with heart failure with preserved ejection fraction: a systematic review and meta-analysis of randomized controlled trials.

Peijian Shi, Tanqi Chen

Abstract readReview
In one paragraph

Review in American journal of translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Peijian ShiDepartment of Cardiology, Beilun District People's Hospital Ningbo 315800, Zhejiang, China.
Tanqi ChenDepartment of Cardiology, Beilun District People's Hospital Ningbo 315800, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to assess the effect of Sodium-Glucose Cotransporter-2 (SGLT-2) inhibitor (SGLT-2i) on long-term (≥1 year) mortality, heart failure (HF)-related hospital admissions, and safety in patients suffering from heart failure with preserved ejection fraction (HFpEF), via a systematic review and meta-analysis of recent high-quality randomized controlled trials (RCTs), and further provide the updated evidence to inform clinical management strategies.

methodsA systematic literature search was conducted in PubMed, Embase, the Cochrane Library, and ClinicalTrials.gov. Pooled risk ratios (RR) with 95% confidence intervals (CI) were calculated using either a random-effects or fixed-effect model, selected based on heterogeneity as measured by Q test and the I

resultsA total of six international multicenter RCTs published between 2020 and 2025, enrolling 16,543 participants, were included in the meta-analysis. The findings showed that treatment with SGLT-2i significantly reduced the risk of heart failure hospitalizations when compared to placebo (P<0.05). A significant reduction in all-cause mortality was also observed in the SGLT-2 inhibitor group. Rates of adverse events were similar between the SGLT-2 inhibitor and placebo arms. Besides, funnel plot analysis showed no significant publication bias.

conclusionIn patients with HFpEF, SGLT-2 inhibitor therapy safely reduces the risk of heart failure hospitalization and mortality. These findings support the use of SGLT-2 inhibitors as a valuable treatment strategy in this population.

Indexed as

heart failure with preserved ejection fractionhospitalization for heart failurelong-term prognosismortalitySGLT-2 inhibitors

Identifiers

PMID42007145
PMCPMC13090863

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.