Evidence map›Paper›PMID 39696015›Full record

ArticleBMC nephrology2024

Association between EASIX and acute kidney injury in critically ill cancer patients.

Feng Deng, Jiandong Lin, Hairong Lin

Abstract read
In one paragraph

Article in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
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

3 authors.

Feng DengDepartment of Intensive Care Unit, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
Jiandong LinDepartment of Intensive Care Unit, the First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, China.
Hairong LinDepartment of Intensive Care Unit, the First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, China. linhirog@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo analyze the relationship between endothelial activation and stress index (EASIX) and the occurrence of acute kidney injury (AKI) in critically ill cancer patients.

methodsCritically ill cancer patients were selected from the Medical Information Mart for Intensive Care IV (MIMIC-IV). Multivariate logistic regression was used to analyze the association between EASIX and the occurrence of AKI in critically ill cancer patients.

resultsOne thousand forty-one cancer patients were retrospectively included, including 607 men and 434 women with mean age of 64.86 ± 13.67 years. Univariate analysis showed that high EASIX levels were associated with an increased risk of AKI occurrence in intensive care unit (ICU) cancer patients (OR: 1.47,95% CI: 1.13-1.91, P < 0.05). After adjusting for other confounders, high EASIX levels remained an independent risk factor predicting the development of AKI (OR: 1.42,95% CI: 1.08-1.88, P < 0.05). Trends in effect sizes were generally consistent across all subgroups in the prespecified subgroup analyses.

conclusionEASIX is an independent risk factor for AKI in critically ill cancer patients. More prospective studies are needed to validate the effect of EASIX on the occurrence of AKI in critically ill cancer patients in the future.

Indexed as

Acute Kidney InjuryCritical IllnessNeoplasmsAgedFemaleHumansIntensive Care UnitsMaleMiddle AgedRetrospective StudiesRisk FactorsAKICancerEndothelial activation and stress indexEndothelial injuryMIMIC-IV

Identifiers

PMID39696015
PMCPMC11653550

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.