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July 30, 2026Intensive Care MedicineOpen Access

STARDaki: a consensus-based STARD extension for standardized reporting of diagnostic accuracy in acute kidney injury

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Authors

HYHaichuan YuYLYiming LiGMGaozhi P. Mo

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Overview

Randomized trial evaluates diagnostic performance of biomarkers in acute kidney injury, suggesting new standards for reporting.

Key Points

  • To compare the diagnostic performance of AKI biomarkers and develop reporting standards for their studies.
  • Conducted a systematic literature review of DTA studies on AKI biomarkers published before February 2025.
  • Assessed methodological quality of studies using QUADAS-2 and STARD 2015 checklists.
  • An expert panel was convened to establish consensus standards (STARDaki) via a modified Delphi process.
  • Identified 122 DTA studies for AKI biomarkers; 15 had insufficient reporting.
  • Of 107 quality studies, only 19 reported AKI diagnosis within 48 h; 16 met QUADAS-2 high-quality standards.
  • Expert panel proposed criteria for patient selection and test reliability to enhance STARD guidelines for AKI biomarkers.

Cite This Study

Yu et al. (2026) studied this question.

synapsesocial.com/papers/6a6af58c60e2b924d3ea208ahttps://doi.org/10.1007/s00134-026-08549-5
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Аpplication of myocardial damage and heart failure biomarkers in preventive and early diagnosis of aki in acute coronary syndrome2020 · 1 citations
  2. 2Reporting Completeness of Diagnostic Accuracy Studies: A Meta-Review of Investigations on Adherence to STARD 20152026
  3. 3Comparative Performance of Novel and Standard Urinary Kidney Biomarkers for Prediction of Persistent Severe AKI and Long-Term Major Adverse Kidney Events2026
  4. 4Acute Kidney Injury Biomarkers in Perioperative Care: A Scoping Review of Clinical Implementation2025 · 1 citations
  5. 5Impact of Using Biomarkers in Eligibility Criteria in Acute Kidney Injury Randomized Controlled Trials: A Systematic Review and Methodological Meta-Analysis2026