Evidence map›Paper›PMID 40131165›Full record

ArticleAnnals of medicine2025

Risk factors of infective endocarditis-associated acute kidney injury: benefits of low-dose amikacin and surgery.

SanXi Ai, XinPei Liu, Nan Zhao, Qi Miao, Yan Qin, XueMei Li

Abstract read
In one paragraph

Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

SanXi AiDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
XinPei LiuDepartment of Cardiac Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Nan ZhaoDepartment of Medical Research, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qi MiaoDepartment of Cardiac Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yan QinDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0003-4729-6673
XueMei LiDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAcute kidney injury (AKI) is a frequent presentation in patients with infective endocarditis (IE), and is associated with poor outcomes. The primary aim of the study was to determine the risk factors for AKI in patients with IE.

methodsA retrospective study was conducted in a tertiary hospital in China from August 2012 to April 2022. The primary outcome was AKI. Logistic regression was used to identify risk factors for AKI.

resultsA total of 594 patients with IE were included, of which 256 (43.1%) experienced AKI. The following variables were found to be independent risk factors for AKI: hypertension (OR 1.96,

conclusionAKI is common in IE. Hypertension,

Indexed as

Acute Kidney InjuryAmikacinAnti-Bacterial AgentsEndocarditisEndocarditis, BacterialAdultAgedChinaFemaleHeart FailureHumansHypertensionIncidenceLogistic ModelsMaleMiddle AgedAmikacinAnti-Bacterial AgentsAcute kidney injuryamikacininfective endocarditisrisk factorsurgery

Identifiers

PMID40131165
PMCPMC11938307

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.