Evidence map›Paper›PMID 38704372›Full record

ReviewCell death discovery2024

The emerging role of regulated cell death in ischemia and reperfusion-induced acute kidney injury: current evidence and future perspectives.

Chenning Li, Ying Yu, Shuainan Zhu, Yan Hu, Xiaomin Ling, Liying Xu, Hao Zhang, Kefang Guo

Abstract readReview
In one paragraph

Review in Cell death discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
–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

58 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. Polysaccharide Peptide fromBiomolecules · 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

8 authors.

Chenning Li *Department of Anesthesiology, Zhongshan Hospital, Shanghai, China.
Ying Yu *Department of Anesthesiology, Zhongshan Hospital, Shanghai, China.
Shuainan ZhuDepartment of Anesthesiology, Zhongshan Hospital, Shanghai, China.
Yan HuDepartment of Anesthesiology, Zhongshan Hospital, Shanghai, China.
Xiaomin LingDepartment of Anesthesiology, Zhongshan Hospital, Shanghai, China.
Liying XuDepartment of Anesthesiology, Zhongshan Hospital, Shanghai, China.
Hao ZhangDepartment of Anesthesiology, Zhongshan Hospital, Shanghai, China. zhang.hao@zs-hospital.sh.cn.
Kefang GuoDepartment of Anesthesiology, Zhongshan Hospital, Shanghai, China. dr_guokefang@163.com.ORCID http://orcid.org/0000-0003-1146-513X

Funding

Natural Science Foundation of Shanghai (Natural Science Foundation of Shanghai Municipality) 22ZR1410900Zhongshan Hospital 2020ZSLC13
6 · The paper itself

Abstract

Renal ischemia‒reperfusion injury (IRI) is one of the main causes of acute kidney injury (AKI), which is a potentially life-threatening condition with a high mortality rate. IRI is a complex process involving multiple underlying mechanisms and pathways of cell injury and dysfunction. Additionally, various types of cell death have been linked to IRI, including necroptosis, apoptosis, pyroptosis, and ferroptosis. These processes operate differently and to varying degrees in different patients, but each plays a role in the various pathological conditions of AKI. Advances in understanding the underlying pathophysiology will lead to the development of new therapeutic approaches that hold promise for improving outcomes for patients with AKI. This review provides an overview of the recent research on the molecular mechanisms and pathways underlying IRI-AKI, with a focus on regulated cell death (RCD) forms such as necroptosis, pyroptosis, and ferroptosis. Overall, targeting RCD shows promise as a potential approach to treating IRI-AKI.

Identifiers

PMID38704372
PMCPMC11069531

What OpenQuestion holds

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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.