Evidence map›Paper›PMID 35576118›Full record

ReviewZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2022

Advances in relationship between cell senescence and atherosclerosis.

Dekun Liu, Jiali Liu, Dan Zhang, Wenqing Yang

Open access · greenAbstract readReview
In one paragraph

Review in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Investigation of the causal effect and molecular signatures of serum hydroxyvitamin D on atherosclerosis: a Mendelian randomization and transcriptomic approach.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2026
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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

4 authors at 1 institution in 1 country.

Dekun Liu1. Faculty of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250300, China.
Jiali Liu1. Faculty of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250300, China.
Dan Zhang3. Innovation Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250300, China.
Wenqing Yang2. Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan 250300, China.
Shandong University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular senescence is a biological process associated with the degeneration of cell structure and function, which contribute to age-related diseases. Atherosclerosis is a chronic inflammatory disease that can cause a variety of cardiovascular disorders. In this article, we review the effects of cellular senescence on the development of atherosclerosis through diverse physiopathological changes, focusing on the alterations in senescent organelles and the increased senescence-associated secretory phenotype (SASP), and exploring the relevant therapeutic strategies for atherosclerosis by clearing senescent cells and reducing SASP, to provide new insights for the treatment of atherosclerosis.

Indexed as

AtherosclerosisCardiovascular DiseasesAgingCellular SenescenceChronic DiseaseHumansSenescence-Associated Secretory PhenotypeAtherosclerosisOrganellesReviewSenescence-associated secretory phenotypeSenescence cellsTreatment strategies

Identifiers

PMID35576118
PMCPMC9109755
OpenAlexW4213201038

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.