SynthesisPediatric nephrology (Berlin, Germany)2023
Biomarkers for prediction of acute kidney injury in pediatric patients: a systematic review and meta-analysis of diagnostic test accuracy studies.
Synthesis in Pediatric nephrology (Berlin, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
25 citing papers in PubMed, 4 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Novel biomarkers for acute kidney injury in high-risk pediatric populations: a systematic review.Renal failure · 2026Pooled it
- Diagnostic accuracy of serum cystatin C for pediatric acute kidney injury: a systematic review and meta-analysis.Pediatric nephrology (Berlin, Germany) · 2026Pooled it
- Machine learning model predicts acute kidney injury in pediatric patients after cardiac surgery: a systematic review and meta-analysis.BMC nephrology · 2026Pooled it
- The application of machine learning in predicting post-cardiac surgery acute kidney injury in pediatric patients: a systematic review.Frontiers in pediatrics · 2025Pooled it
- Putting the pieces together: solving the puzzle of early acute kidney injury post pediatric cardiac surgery.Pediatric research · 2026Article
- Acute renal angina index: a tool for predicting acute kidney injury in the pediatric emergency room.Pediatric nephrology (Berlin, Germany) · 2026Observational
- The global epidemiology of acute kidney injury: challenges and opportunities.Nature reviews. Nephrology · 2026Review
- Urine Olfactomedin 4 Predicts Furosemide Response and Kidney Replacement Therapy in Critically Ill Children.Critical care explorations · 2025Observational
- Early Detection of Acute Kidney Injury After Congenital Heart Surgery-Using Urine Proteomics to Identify New Biomarker Candidates: A Prospective Clinical Study.Journal of clinical medicine · 2025Article
- Research Progress on Signalling Pathways Related to Sepsis-Associated Acute Kidney Injury in Children.Current issues in molecular biology · 2025Review
- Advances in pediatric acute kidney injury detection and prediction: biomarkers and artificial intelligence.World journal of pediatrics : WJP · 2025Article
- From acute kidney injury to chronic kidney disease in children: maladaptive repair and the need for long-term surveillance - a literature review.BMC nephrology · 2025Review
- Sepsis criteria and kidney function: eliminating sex, age and economic status biases.Nature reviews. Nephrology · 2025Review
- Diagnostic Accuracy of Furosemide Stress Test and Cystatin-C for Predicting Acute Kidney Injury Progression in Children: A Prospective Cohort Study.Indian journal of pediatrics · 2025Article
- Diagnostic Accuracy of Furosemide Stress Test and Cystatin-C for Predicting Acute Kidney Injury Progression in Children: A Prospective Cohort Study - Authors' Reply.Indian journal of pediatrics · 2025Article
- Determination of Urinary Neutrophil Gelatinase-Associated Lipocalin (uNGAL) Reference Intervals in Healthy Adult and Pediatric Individuals Using a Particle-Enhanced Turbidimetric Immunoassay.Diagnostics (Basel, Switzerland) · 2025Article
- Utility of plasma suPAR to identify AKI and sepsis associated AKI in critically ill children.iScience · 2024Article
- Artificial intelligence and predictive models for early detection of acute kidney injury: transforming clinical practice.BMC nephrology · 2024Review
- Acute Kidney Injury Requiring Dialysis After Pediatric Heart Transplant.Pediatric transplantation · 2024Article
- Derivation and Validation of an Optimal Neutrophil Gelatinase-Associated Lipocalin Cutoff to Predict Stage 2/3 Acute Kidney Injury (AKI) in Critically Ill Children.Kidney international reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSeverity of acute kidney injury (AKI) confers higher odds of mortality. Timely recognition and early initiation of preventive measures may help mitigate the injury further. Novel biomarkers may aid in the early detection of AKI. The utility of these biomarkers across various clinical settings in children has not been evaluated systematically.
objectiveTo synthesize the currently available evidence on different novel biomarkers for the early diagnosis of AKI in pediatric patients. DATA SOURCES: We searched four electronic databases (PubMed, Web of Science, Embase, and Cochrane Library) for studies published between 2004 and May 2022. STUDY ELIGIBILITY CRITERIA: Cohort and cross-sectional studies evaluating the diagnostic performance of biomarkers in predicting AKI in children were included. PARTICIPANTS AND
interventionsParticipants in the study included children (aged less than 18 years) at risk of AKI. STUDY APPRAISAL AND SYNTHESIS
methodsWe used the QUADAS-2 tool for the quality assessment of the included studies. The area under the receiver operating characteristics (AUROC) was meta-analyzed using the random-effect inverse-variance method. Pooled sensitivity and specificity were generated using the hierarchical summary receiver operating characteristic (HSROC) model.
resultsWe included 92 studies evaluating 13,097 participants. Urinary NGAL and serum cystatin C were the two most studied biomarkers, with summary AUROC of 0.82 (0.77-0.86) and 0.80 (0.76-0.85), respectively. Among others, urine TIMP-2*IGFBP7, L-FABP, and IL-18 showed fair to good predicting ability for AKI. We observed good diagnostic performance for predicting severe AKI by urine L-FABP, NGAL, and serum cystatin C. LIMITATIONS: Limitations were significant heterogeneity and lack of well-defined cutoff value for various biomarkers. CONCLUSIONS AND IMPLICATIONS OF KEY
findingsUrine NGAL, L-FABP, TIMP-2*IGFBP7, and cystatin C showed satisfactory diagnostic accuracy in the early prediction of AKI. To further improve the performance of biomarkers, they need to be integrated with other risk stratification models. SYSTEMATIC REVIEW REGISTRATION: PROSPERO (CRD42021222698). A higher resolution version of the Graphical abstract is available as "Supplementary information".
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.