Evidence map›Paper›PMID 40183047›Full record

ReviewPeerJ2025

Understanding uremic cardiomyopathy: from pathogenesis to diagnosis and the horizon of therapeutic innovations.

Qiong Song, Pengbo Wang, Yunfang Wu, Zhuan'e Yao, Wei Wang, Guangbo Tang, Peng Zhang

Abstract readReview
In one paragraph

Review in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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.

Qiong Song *Department of Nephrology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi Province, China.
Pengbo Wang *Department of Nephrology, The Second People's Hospital of Shaanxi Province, Xi'an, Shaanxi, China.
Yunfang WuDepartment of Endocrinology, The First Hospital of Lanzhou City, Lanzhou, Gansu Province, China.
Zhuan'e YaoDepartment of Nephrology, The Second People's Hospital of Shaanxi Province, Xi'an, Shaanxi, China.
Wei WangDepartment of Nephrology, The Second People's Hospital of Shaanxi Province, Xi'an, Shaanxi, China.
Guangbo TangKey Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Peng ZhangDepartment of Nephrology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uremic cardiomyopathy (UC) is a significant cardiovascular complication in individuals with end-stage renal disease. This review aims to explore the multifaceted landscape of UC, including the key pathophysiological mechanisms, diagnostic challenges, and current therapeutic approaches. The prevalence of cardiac hypertrophy, as a hallmark of UC, is highlighted and some new insights to its intricate pathogenesis, involving uremic toxins, oxidative stress, and inflammatory responses is elucidated. Diagnostic complexities, including the absence of specific biomarkers, are discussed, and the need for advanced imaging modalities and emerging diagnostic strategies are emphasized. Current therapeutic interventions, although lacking specificity, are addressed, paving its way to the potential future directions in targeted therapies. The review concludes new insights into the critical importance of ongoing research and technological advancements which will enhance early detection, precision treatment, and ultimately improve outcomes for individuals with UC.

Indexed as

CardiomyopathiesKidney Failure, ChronicUremiaBiomarkersHumansOxidative StressBiomarkersCardiac hypertrophyInflammationOxidative stressUremic cardiomyopathyUremic toxins

Identifiers

PMID40183047
PMCPMC11967432

What OpenQuestion holds

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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.