Evidence map›Paper›PMID 40810069›Full record

ReviewFrontiers in endocrinology2025

Diabetes and calcific aortic valve disease: controversy of clinical outcomes in diabetes after aortic valve replacement.

Feng Liu, Haipeng Cai

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Feng LiuDepartment of Cardiology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Haipeng CaiDepartment of Cardiology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Calcific aortic valve disease (CAVD) is a progressive disease, of which the 2-year mortality is >50% for symptomatic aortic valve stenosis unless transcatheter aortic valve replacement (TAVR) or surgical aortic valve replacement (SAVR) is performed promptly. The prevalence of diabetes among CAVD has increased rapidly in recent years. The combination of diabetes with its cardio-renal and metabolic comorbidities, such as hypertension, hyperlipidemia, chronic kidney disease, and ageing, accelerated the progression of CAVD and increased the subsequent needs for aortic valve replacement. Clinical data regarding the impact of diabetes on outcomes of patients undergoing TAVR or SAVR have exhibited inconsistent results. Compared with non-diabetes, the short-term mortality after TAVR was not significant in diabetes, while the mid-term mortality differed from different cohorts. Although there were worse mid-term and long-term mortalities after SAVR in diabetes, the short-term mortality in diabetes was disputable. As for complications, there were common worse manifestations with coronary heart disease, acute kidney injury, heart failure, and systemic inflammatory response syndrome in diabetes undergoing TAVR or SAVR. Moreover, diabetes was one of the risk factors for deterioration of bioprosthetic aortic valves, leading to increased long-term mortality. Based on the efficacy for CAVD and atherosclerotic cardiovascular disease, glucose-lowering medications might have potential to inhibit deterioration of bioprosthetic aortic valves independent of glucose control.

Indexed as

Aortic ValveAortic Valve StenosisCalcinosisDiabetes MellitusHeart Valve Prosthesis ImplantationTranscatheter Aortic Valve ReplacementHumansRisk FactorsTreatment Outcomecalcific aortic valve diseasedeterioration of bioprosthetic aortic valvediabetessurgical aortic valve replacementtranscatheter aortic valve replacement

Identifiers

PMID40810069
PMCPMC12343241

What OpenQuestion holds

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Registered trials

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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.