Evidence map›Paper›PMID 42295328›Full record

ReviewJornal brasileiro de nefrologia

Unraveling the complex web of acute kidney injury: pathways, biomarkers, and future directions.

Chengxi Zha, Yaya Qi, De Yang, Guoduo Li, Zhijie He, Deping Xu, Jiansheng Li

Abstract readReview
In one paragraph

Review in Jornal brasileiro de nefrologia. 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

7 authors.

Chengxi ZhaGansu Provincial Hospital of Traditional Chinese Medicine, Clinical Laboratory, Lanzhou, China.ORCID http://orcid.org/0009-0007-1778-6969
Yaya QiFirst Hospital of Lanzhou University, Precision Medicine Experimental Center, Lanzhou, China.ORCID http://orcid.org/0009-0009-2383-7632
De YangGansu Provincial Hospital of Traditional Chinese Medicine, Clinical Laboratory, Lanzhou, China.ORCID http://orcid.org/0009-0002-6714-0385
Guoduo LiGansu Provincial Hospital of Traditional Chinese Medicine, Clinical Laboratory, Lanzhou, China.ORCID http://orcid.org/0009-0000-9820-9248
Zhijie HeGansu Provincial Hospital of Traditional Chinese Medicine, Clinical Laboratory, Lanzhou, China.ORCID http://orcid.org/0009-0004-7092-7079
Deping XuGansu Provincial Hospital of Traditional Chinese Medicine, Clinical Laboratory, Lanzhou, China.ORCID http://orcid.org/0009-0001-7960-715X
Jiansheng LiGansu Provincial Hospital of Traditional Chinese Medicine, Nephrology Department, Lanzhou, China.ORCID http://orcid.org/0009-0009-9078-4235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI), a widespread severe acute condition caused by several factors and characterized by a rapid decline in renal function over a short time, is associated with high incidence and mortality rates worldwide. Investigating AKI signaling pathways is crucial for elucidating its pathogenesis, optimizing diagnostic and therapeutic approaches, and developing novel therapeutic agents. This article comprehensively examines AKI pathophysiological mechanisms, apoptosis-related signaling pathways, and inflammatory response pathways. It analyzes clinical signaling pathways associated with epidemiology, diagnostic technologies, and therapeutic strategies, explores advancements in novel biomarker applications, drug development, and gene editing technologies, and discusses current hot topics and controversies. The study further outlines future research trends, personalized treatment prospects, and potential challenges and opportunities, aiming to provide comprehensive insights into AKI signaling pathway research and lay the foundation for further exploration in related fields.

Indexed as

Acute Kidney InjuryApoptosisBiomarkersForecastingHumansSignal TransductionBiomarkers

Identifiers

PMID42295328
PMCPMC13267843

What Socratic holds

Textmetadata
LicenceCC BY
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.