Evidence map›Paper›PMID 42725349›Full record

ReviewCureus2026

Mechanistic Insights Into Acute Kidney Injury Complicating Invasive Pulmonary Aspergillosis in Adults.

Xiaolong Li, Xin Wang, Rongli Wang, Yinhe Feng, Chao Qin, Yubing Yue, Shuhao Xu

Abstract readReview
In one paragraph

Review in Cureus, 2026. 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.

Xiaolong LiPulmonary and Critical Care Medicine, Deyang People's Hospital, Deyang, CHN.
Xin WangPulmonary and Critical Care Medicine, Deyang People's Hospital, Deyang, CHN.
Rongli WangPulmonary and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, CHN.
Yinhe FengPulmonary and Critical Care Medicine, Deyang People's Hospital, Deyang, CHN.
Chao QinPulmonary and Critical Care Medicine, Deyang People's Hospital, Deyang, CHN.
Yubing YuePulmonary and Critical Care Medicine, Deyang People's Hospital, Deyang, CHN.
Shuhao XuStomatology, Deyang People's Hospital, Deyang, CHN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive pulmonary aspergillosis (IPA) is a life-threatening fungal infection predominantly affecting immunocompromised patients, with a rising incidence observed in atypical hosts such as critically ill individuals. Acute kidney injury (AKI) represents a severe and frequent complication of IPA, markedly increasing morbidity and mortality rates. Despite its clinical significance, the pathophysiological mechanisms underlying IPA-associated AKI remain incompletely understood. This review provides a comprehensive examination of the multifactorial processes contributing to AKI in the context of IPA, including the direct nephrotoxic effects of fungal toxins, dysregulated host immune and inflammatory responses, drug-induced renal toxicity, and hemodynamic disturbances. By integrating recent advances from molecular biology, immunology, and clinical studies, we aim to elucidate the complex interplay of factors driving renal impairment in IPA patients. Understanding these mechanisms is crucial for the development of early diagnostic markers and targeted therapeutic strategies to improve patient outcomes. This comprehensive overview provides a theoretical foundation for future research and clinical management of IPA complicated by AKI.

Indexed as

acute kidney injurydrug nephrotoxicityfungal toxinsinflammatory responseinvasive pulmonary aspergillosismechanisms

Identifiers

PMID42725349
PMCPMC13561627

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.