Evidence map›Paper›PMID 36728812›Full record

ArticleRenal failure2023

A new criteria for acute on preexisting kidney dysfunction in critically ill patients.

Dejiang Hong, Qinghuan Ren, Jie Zhang, Fubo Dong, Shiqiang Chen, Wei Dong, Xiaoyan Chen, Longwang Chen, Yongming Yao, Zhongqiu Lu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Renal failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Observational
  2. Article
  3. Review
  4. Observational
  5. 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

11 authors at 2 institutions in 1 country.

Dejiang HongDepartment of Emergency, Emergency Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, PR China.
Qinghuan RenAlberta College of Wenzhou Medical University, Wenzhou, PR China.
Jie ZhangDepartment of Emergency, Emergency Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, PR China.
Fubo DongDepartment of Emergency, Emergency Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, PR China.
Shiqiang ChenDepartment of Emergency, Emergency Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, PR China.
Wei DongDepartment of Emergency, Emergency Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, PR China.
Xiaoyan ChenDepartment of Emergency, Emergency Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, PR China.
Longwang ChenDepartment of Emergency, Emergency Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, PR China.
Yongming YaoTranslational Medicine Research Center, Medical Innovation Research Division and Fourth Medical of the Chinese PLA General Hospital, Beijing, PR China.
Zhongqiu LuDepartment of Emergency, Emergency Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, PR China.
Guangju ZhaoDepartment of Emergency, Emergency Intensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, PR China.ORCID 0000-0003-4638-8197
Wenzhou Medical University · CNChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Critically ill patients with preexisting kidney dysfunction (PKD) are at high risk for acute kidney injury (AKI). Nevertheless, there is no criteria for screening and classifying AKI in patients with PKD. In this study, after assessing relationship between the change in SCr from baseline and in-hospital mortality, a new criteria, named APKD, for identifying AKI in PKD was proposed. APKD defined AKI in critically ill patients with PKD as an absolute increase of ≥ 0.2 mg/dL in SCr within 48 h or an increase in SCr ≥ 1.1 times over baseline within 7 d. APKD detected more AKI among PKD patients compared with the other criteria. Additionally, the AKI patients identified by APKD but missed by the other criteria had higher mortality than those without AKI. APKD shows higher sensitivities than KDIGO criteria in predicating in-hospital mortality. APKD, but not the KDIGO, is effective for staging the severity of AKI in patients with PKD. In conclusion, APKD is more effective in screening and classifying AKI in critically ill patients with PKD compared with the earlier criteria, and it may helpful in guiding clinical treatment and predicting prognosis.

Indexed as

Acute Kidney InjuryCritical IllnessCreatinineHospital MortalityHumansKidneyPrognosisRetrospective StudiesCreatinineacute kidney injuryChronic kidney dysfunctioncritically ill patientsmortalityserum creatinine

Identifiers

PMID36728812
PMCPMC9897760
OpenAlexW4318933605

What OpenQuestion holds

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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 OpenQuestion graph.