Evidence map›Paper›PMID 32829575›Full record

ReviewAnnals of laboratory medicine2021

Biomarker-Guided Risk Assessment for Acute Kidney Injury: Time for Clinical Implementation?

Christian Albert, Michael Haase, Annemarie Albert, Antonia Zapf, Rüdiger Christian Braun-Dullaeus, Anja Haase-Fielitz

Open access · diamondAbstract readReview
In one paragraph

Review in Annals of laboratory medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 2% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Acute kidney injury in paediatric kidney transplant recipients.Pediatric nephrology (Berlin, Germany) · 2025
    Review
  12. Article
  13. New approaches to acute kidney injury.Clinical kidney journal · 2024
    Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

6 authors at 4 institutions in 1 country.

Christian AlbertMedical Faculty, University Clinic for Cardiology and Angiology, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany.ORCID 0000-0002-6956-9962
Michael HaaseDiaverum Renal Services, MVZ Potsdam, Potsdam, Germany.ORCID 0000-0001-8212-7416
Annemarie AlbertDiaverum Renal Services, MVZ Potsdam, Potsdam, Germany.ORCID 0000-0002-5611-1506
Antonia ZapfDepartment of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Germany.ORCID 0000-0001-5339-2472
Rüdiger Christian Braun-DullaeusMedical Faculty, University Clinic for Cardiology and Angiology, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany.ORCID 0000-0003-3888-6532
Anja Haase-FielitzDepartment of Cardiology, Immanuel Diakonie Bernau, Heart Center Brandenburg, Brandenburg Medical School Theodor Fontane (MHB), Germany.ORCID 0000-0001-6881-2249
Dialysezentrum Potsdam · DEOtto-von-Guericke-Universität Magdeburg · DEUniversität Hamburg · DEUniversity of Applied Sciences Potsdam · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) is a common and serious complication in hospitalized patients, which continues to pose a clinical challenge for treating physicians. The most recent Kidney Disease Improving Global Outcomes practice guidelines for AKI have restated the importance of earliest possible detection of AKI and adjusting treatment accordingly. Since the emergence of initial studies examining the use of neutrophil gelatinase-associated lipocalin (NGAL) and cycle arrest biomarkers, tissue inhibitor metalloproteinase-2 (TIMP-2) and insulin-like growth factor-binding protein (IGFBP7), for early diagnosis of AKI, a vast number of studies have investigated the accuracy and additional clinical benefits of these biomarkers. As proposed by the Acute Dialysis Quality Initiative, new AKI diagnostic criteria should equally utilize glomerular function and tubular injury markers for AKI diagnosis. In addition to refining our capabilities in kidney risk prediction with kidney injury biomarkers, structural disorder phenotypes referred to as "preclinical-" and "subclinical AKI" have been described and are increasingly recognized. Additionally, positive biomarker test findings were found to provide prognostic information regardless of an acute decline in renal function (positive serum creatinine criteria). We summarize and discuss the recent findings focusing on two of the most promising and clinically available kidney injury biomarkers, NGAL and cell cycle arrest markers, in the context of AKI phenotypes. Finally, we draw conclusions regarding the clinical implications for kidney risk prediction.

Indexed as

Acute Kidney InjuryBiomarkersCell Cycle CheckpointsCreatinineHumansInsulin-Like Growth Factor Binding ProteinsLipocalin-2PrognosisRisk AssessmentTissue Inhibitor of Metalloproteinase-2BiomarkersCreatinineinsulin-like growth factor binding protein-related protein 1Insulin-Like Growth Factor Binding ProteinsLipocalin-2TIMP2 protein, humanTissue Inhibitor of Metalloproteinase-2Acute kidney injuryAKI phenotypesCell cycle arrest biomarkerKidney biomarkerKidney risk predictionNeutrophil gelatinase-associated lipocalinPreclinical AKISerum creatinineSubclinical AKI

Identifiers

PMID32829575
PMCPMC7443517
OpenAlexW3080758811

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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.