Evidence map›Paper›PMID 36008594›Full record

ArticlePediatric research2023

Prediction of urinary dickkopf-3 for AKI, sepsis-associated AKI, and PICU mortality in children.

Junlong Hu, Yueying Zhou, Hui Huang, Yuxian Kuai, Jiao Chen, Zhenjiang Bai, Xiaozhong Li, Yanhong Li

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In one paragraph

Article in Pediatric research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

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  5. Research progress on biomarkers for acute kidney injury in children.Pediatric nephrology (Berlin, Germany) · 2026
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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

8 authors at 1 institution in 1 country.

Junlong Hu *Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Yueying Zhou *Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Hui HuangDepartment of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Yuxian KuaiDepartment of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Jiao ChenPediatric Intensive Care Unit, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Zhenjiang BaiPediatric Intensive Care Unit, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Xiaozhong LiDepartment of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Yanhong LiDepartment of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China. lyh072006@hotmail.com.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreoperative urinary dickkopf-3 (DKK3) is proposed as an early biomarker for the prediction of acute kidney injury (AKI) in patients undergoing cardiac surgery. We explored the clinical utility of urinary DKK3 for the early predictive value for AKI, sepsis-associated AKI (SA-AKI), and pediatric intensive care unit (PICU) mortality in critically ill children.

methodsUrine samples were collected during the first 24 h after admission for measurement of DKK3. AKI diagnosis was based on serum creatinine and urine output using the KDIGO criteria. SA-AKI was defined as AKI that occurred in children who met the sepsis criteria in accordance with the surviving sepsis campaign international guidelines for children.

resultsOf the 420 children, 73 developed AKI, including 24 with SA-AKI, and 30 died during the PICU stay. The urinary DKK3 level was significantly associated with AKI, SA-AKI, and PICU mortality, even after adjustment for confounders. The area under the receiver operating characteristic curve of urinary DKK3 for the discrimination of AKI, SA-AKI, and PICU mortality was 0.70, 0.80, and 0.78, respectively.

conclusionUrinary DKK3 was independently associated with an increased risk for AKI, SA-AKI, and PICU mortality and may be predictive of the aforementioned issues in critically ill children. IMPACT: Urinary dickkopf-3 (DKK3) has been identified as a preoperative biomarker for the prediction of acute kidney injury (AKI) following cardiac surgery or coronary angiography in adult patients. However, little is known about the clinical utility of urinary DKK3 in pediatric cohorts. This study demonstrated that urinary DKK3 is capable of early predicting AKI and pediatric intensive care unit (PICU) mortality and discriminating sepsis-associated AKI (SA-AKI) from other types of AKI. Urinary DKK3 may be an early biomarker for predicting AKI, SA-AKI, and PICU mortality in critically ill children.

Indexed as

Acute Kidney InjurySepsisAdaptor Proteins, Signal TransducingBiomarkersChildCritical IllnessHumansIntensive Care Units, PediatricProspective StudiesAdaptor Proteins, Signal TransducingBiomarkersDKK3 protein, human

Identifiers

PMID36008594
OpenAlexW4293101457

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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.