Evidence map›Paper›PMID 34003691›Full record

ArticleScience progress

The epidemiology of acute kidney injury in critically ill patients in the Gansu Province: The EACG study.

Yu Chen, Fang Feng, Xue-Ni Chang, Dong Liu, Yuan Yuan, Min Li, Chenghua Mu

Abstract readMulticenter Study
In one paragraph

Article in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Yu ChenIntensive Care Unit 2, Lanzhou University Second Hospital, Lanzhou, Gansu, China.ORCID 0000-0003-1447-4410
Fang FengIntensive Care Unit 2, Lanzhou University Second Hospital, Lanzhou, Gansu, China.
Xue-Ni ChangIntensive Care Unit 2, Lanzhou University Second Hospital, Lanzhou, Gansu, China.
Dong LiuIntensive Care Unit, the 940th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Lanzhou, Gansu, China.
Yuan YuanIntensive Care Unit, People's Hospital of Gansu Province, Lanzhou, Gansu, China.
Min LiIntensive Care Unit 2, Lanzhou University Second Hospital, Lanzhou, Gansu, China.
Chenghua MuIntensive Care Unit 2, Lanzhou University Second Hospital, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the epidemiology of acute kidney injury and to clarify the risk factors associated with the prognosis of acute kidney injury in critically ill patients in the Gansu Province. This was a multicenter, retrospective study. The clinical data of all patients from January 1, 2017, to December 31, 2019, in the intensive care unit of the selected hospitals were screened. Descriptive statistical analysis was performed first, and then the patients were divided into a survival group and a nonsurvival group based on survival status at discharge. Univariate and multivariate logistic regression analyses were used to determine the risk factors for in-hospital mortality in patients with acute kidney injury. (1) Among the 8106 patients admitted, a total of 3019 patients were excluded according to the exclusion criteria. Among the included patients, 890 patients met the diagnostic criteria for AKI, with an incidence of 17.5% and mortality of 41.3%. (2) Logistic regression analysis showed that sex, age, AKI stage, infection, cardio-pulmonary resuscitation, cardiac output, mechanical ventilation, diuretics, white blood cells, platelets, blood urea nitrogen, prothrombin time, and activated partial thromboplastin time were significantly associated with the prognosis of acute kidney injury (

Indexed as

Acute Kidney InjuryCritical IllnessFemaleHospital MortalityHumansIntensive Care UnitsMaleRetrospective StudiesRisk Factorsacute kidney injuryCritically ill patientsepidemiologyprognosisrisk factors

Identifiers

PMID34003691
PMCPMC10358458

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Registered trials

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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.