SynthesisScientific reports2023
Predictive value of urinary cell cycle arrest biomarkers for all cause-acute kidney injury: a meta-analysis.
Synthesis in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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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.
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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.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.
- The efficacy of novel biomarkers for the early detection and management of acute kidney injury: A systematic review.PloS one · 2025Pooled it
- Association of immune-inflammation indexes with incidence and prognosis of diabetic nephropathy: a systematic review and meta-analysis.Frontiers in endocrinology · 2025Pooled it
- Endothelial biomarkers predict kidney and cardiovascular outcomes after acute kidney injury.Clinical kidney journal · 2026Article
- Human biomarker navigator.iMeta · 2026Review
- Extracorporeal membrane oxygenation, acute kidney injury, fluid balance, and continuous renal replacement therapy: Acute Disease Quality Initiative (ADQI) and Extracorporeal Life Support Organization (ELSO) joint consensus conference.Intensive care medicine · 2026Article
- Case Report: Uremic encephalopathy in acute kidney injury caused by abdominal sepsis.Frontiers in radiology · 2026Article
- Use of [TIMP-2] • [IGFBP7] to identify sepsis-related acute kidney injury in the emergency department.Annals of intensive care · 2026Article
- What new renal biomarkers tell us about renal physiology: Collection: physiology applied to ICU.Annals of intensive care · 2026Review
- Renal perfusion pressure: role and implications in critical illness.Annals of intensive care · 2025Review
- Diagnosis and Emerging Biomarkers of Cystic Fibrosis-Related Kidney Disease (CFKD).Journal of clinical medicine · 2025Review
- Single urinary extracellular vesicle proteomics identifies complement receptor CD35 as a biomarker for sepsis-associated acute kidney injury.Nature communications · 2025Article
- Biomarkers in cardiorenal syndrome, a potential use in precision medicine.Journal of nephrology · 2024Review
- Early Diagnosis of Pediatric Acute Kidney Injury: An Achievable Goal?Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024Article
- Biomarkers in acute kidney injury.Annals of intensive care · 2024Review
- Tissue Inhibitor of Metalloproteinases-2 (TIMP-2) as a Prognostic Biomarker in Acute Kidney Injury: A Narrative Review.Diagnostics (Basel, Switzerland) · 2024Review
- Machine learning for prediction of acute kidney injury in patients diagnosed with sepsis in critical care.PloS one · 2024Observational
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The cell cycle arrest markers tissue inhibitor metalloproteinases-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) have been identified as potential biomarkers of acute kidney injury (AKI) in critically ill adults in intensive care units and cardiac surgery-associated AKI (CSA-AKI). However, the clinical impact on all-cause AKI remains unclear. Here, we report a meta-analysis performed to evaluate the predictive value of this biomarker for all-cause AKI. The PubMed, Cochrane, and EMBASE databases were systematically searched up to April 1, 2022. We used the Quality Assessment Tool for Diagnosis Accuracy Studies (QUADAS-2) to assess the quality. We extracted useful information from these studies and calculated the sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC). Twenty studies with 3625 patients were included in the meta-analysis. The estimated sensitivity of urinary [TIMP-2] × [IGFBP7] in the diagnosis of all-cause AKI was 0.79 (95% CI 0.72, 0.84), and the specificity was 0.70 (95% CI 0.62, 0.76). The value of urine [TIMP-2] × [IGFBP7] in the early diagnosis of AKI was assessed using a random effects model. The pooled positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) were 2.6 (95% CI 2.1, 3.3), 0.31 (95% CI 0.23, 0.40), and 8 (95% CI 6, 13), respectively. The AUROC was 0.81 (95% CI 0.78-0.84). No significant publication bias was observed in eligible studies. Subgroup analysis indicated that the diagnostic value was related to the severity of AKI, time measurement, and clinical setting. This study shows that urinary [TIMP-2] × [IGFBP7] is a reliable effective predictive test for all cause-AKI. However, whether and how urinary [TIMP-2] × [IGFBP7] can be used in clinical diagnosis still requires further research and clinical trials.
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