Evidence map›Paper›PMID 29907141›Full record

ArticleBMC pediatrics2018

Serum and urine FGF23 and IGFBP-7 for the prediction of acute kidney injury in critically ill children.

Zhenjiang Bai, Fang Fang, Zhong Xu, Chunjiu Lu, Xueqin Wang, Jiao Chen, Jian Pan, Jian Wang, Yanhong Li

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Zhenjiang BaiPediatric Intensive Care Unit, Children's Hospital of Soochow University, Suzhou, JiangSu province, China.
Fang FangInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, JiangSu province, China.
Zhong XuPediatric Intensive Care Unit, Children's Hospital of Soochow University, Suzhou, JiangSu province, China.
Chunjiu LuDepartment of nephrology, Institute of pediatric research, Children's Hospital of Soochow University, Suzhou, JiangSu province, China.
Xueqin WangDepartment of nephrology, Institute of pediatric research, 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.
Jian PanInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, JiangSu province, China.
Jian WangInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, JiangSu province, China.
Yanhong LiInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, JiangSu province, China. liyanhong@suda.edu.cn.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFibroblast growth factor 23 (FGF23) and insulin-like growth factor binding protein 7 (IGFBP-7) are suggested to be biomarkers for predicting acute kidney injury (AKI). We compared them with proposed AKI biomarker of cystatin C (CysC), and aimed (1) to examine whether concentrations of these biomarkers vary with age, body weight, illness severity assessed by pediatric risk of mortality III score, and kidney function assessed by estimated glomerular filtration rate (eGFR), (2) to determine the association between these biomarkers and AKI, and (3) to evaluate whether these biomarkers could serve as early independent predictors of AKI in critically ill children.

methodsThis prospective single center study included 144 critically ill patients admitted to the pediatric intensive care unit (PICU) regardless of diagnosis. Serum and spot urine samples were collected during the first 24 h after PICU admission. AKI was diagnosed based on the AKI network (AKIN) criteria.

resultsTwenty-one patients developed AKI within 120 h of sample collection, including 11 with severe AKI defined as AKIN stages 2 and 3. Serum FGF23 levels were independently associated with eGFR after adjustment in a multivariate linear analysis (P < 0.001). Urinary IGFBP-7 (Adjusted OR = 2.94 per 1000 ng/mg increase, P = 0.035), serum CysC (Adjusted OR = 5.28, P = 0.005), and urinary CysC (Adjusted OR = 1.13 per 1000 ng/mg increase, P = 0.022) remained significantly associated with severe AKI after adjustment for body weight and illness severity, respectively. Urinary IGFBP-7 level was predictive of severe AKI and achieved the AUC of 0.79 (P = 0.001), but was not better than serum (AUC = 0.89, P < 0.001) and urinary (AUC = 0.88, P < 0.001) CysC in predicting severe AKI.

conclusionsSerum FGF23 levels were inversely related to measures of eGFR. In contrast to serum and urinary FGF23 which are not associated with AKI in a general and heterogeneous PICU population, an increased urinary IGFBP-7 level was independently associated with the increased risk of severe AKI diagnosed within the next 5 days after sampling, but not superior to serum or urinary CysC in predicting severe AKI in critically ill children.

Indexed as

Critical IllnessAcute Kidney InjuryAge FactorsBiomarkersBody WeightChild, PreschoolCystatin CFemaleFibroblast Growth Factor-23Fibroblast Growth FactorsGlomerular Filtration RateHumansInfantInsulin-Like Growth Factor Binding ProteinsMaleProspective StudiesBiomarkersCystatin CFGF23 protein, humanFibroblast Growth Factor-23Fibroblast Growth FactorsInsulin-Like Growth Factor Binding ProteinsAcute kidney injuryCritically ill childrenCystatin CFibroblast growth factor 23Insulin-like growth factor binding protein 7Pediatric risk of mortality III score

Identifiers

PMID29907141
PMCPMC6004091
OpenAlexW2808281320

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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.