Evidence map›Paper›PMID 35583867›Full record

ArticleJAMA network open2022

Utility of Biomarkers for Sepsis-Associated Acute Kidney Injury Staging.

Luca Molinari, Gaspar Del Rio-Pertuz, Ali Smith, Douglas P Landsittel, Kai Singbartl, Paul M Palevsky, Lakhmir S Chawla, David T Huang, Donald M Yealy, Derek C Angus and 2 more

Abstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Observational
  4. Impact of an Acute Kidney Injury Prevention Bundle in High-risk Intensive Care Unit Patients: A Single Center Before-After Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Renal tubular epithelial IGFBP7 interacts with PKM2 to drive renal lipid accumulation and fibrosis.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  10. Review
  11. Article
  12. Biological attributes of zinc-dependent endopeptidases in endothelial dysfunction associated with sepsis: a narrative review.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025
    Review
  13. Article
  14. Observational
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Observational
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

12 authors.

Luca MolinariCenter for Critical Care Nephrology, Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Gaspar Del Rio-PertuzCenter for Critical Care Nephrology, Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Ali SmithCenter for Critical Care Nephrology, Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Douglas P LandsittelDepartment of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Kai SingbartlCenter for Critical Care Nephrology, Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Paul M PalevskyKidney Medicine (Renal) Section, Medical Service, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Lakhmir S ChawlaDepartment of Medicine, Veterans Affairs Medical Center, San Diego, California.
David T HuangClinical Research, Investigation, and Systems Modeling of Acute Illness Center, Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Donald M YealyDepartment of Emergency Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Derek C AngusClinical Research, Investigation, and Systems Modeling of Acute Illness Center, Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
John A KellumCenter for Critical Care Nephrology, Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
ProCESS and ProGReSS-AKI Investigators

Funding

Protocolized Care for Early Septic Shock (ProCESS)P50GM076659 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ANGUS, DEREK C · 2006 to 2012
$11.2M
Protocolized Goal-directed Resuscitation of Septic Shock to Prevent AKI (ProGReSSR01DK083961 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KELLUM, JOHN A · 2010 to 2013
$2.6M
NIDDK NIH HHS R01 DK083961NIGMS NIH HHS P50 GM076659
6 · The paper itself

Abstract

Importance: The 23rd Acute Disease Quality Initiative (ADQI-23) consensus conference proposed a framework to integrate biomarkers into the staging of acute kidney injury (AKI). It is unknown whether tissue inhibitor of metalloproteinases 2 (TIMP-2) and insulinlike growth factor binding protein 7 (IGFBP7) could be used for staging. Objective: To test whether higher levels of urinary [TIMP-2] × [IGFBP7] are associated with lower survival among patients with the same functional stage of AKI. Design, Setting, and Participants: This cohort study was performed using data from the Protocolized Care for Early Septic Shock (ProCESS) trial, which enrolled critically ill patients with septic shock who presented at academic and community emergency departments and intensive care units in the US from March 2008 to May 2013. Patients with end-stage kidney disease, a reference serum creatinine level of 4 mg/dL or greater (to convert to μmol/L, multiply by 76.25), or missing data on serum creatinine levels or urinary levels of [TIMP-2] × [IGFBP7] were excluded. Data were analyzed from October 2020 to October 2021. Exposures: The presence of AKI, assessed using Kidney Disease: Improving Global Outcomes criteria within 24 hours after enrollment and the highest AKI stage as well as urinary [TIMP-2] × [IGFBP7] level at 6 hours after enrollment. A previously reported high-specificity cutoff level for [TIMP-2] × [IGFBP7] of 2.0 (ng/mL)2/1000 was used to categorize patients (including those without functional criteria of AKI) according to the new staging system proposed by the ADQI-23 as biomarker negative (urinary [TIMP-2] × [IGFBP7] level ≤2.0 [ng/mL]2/1000) or biomarker positive ([TIMP-2] × [IGFBP7] >2.0 [ng/mL]2/1000). Main Outcomes and Measures: Survival (assessed using Kaplan-Meier plots and the log-rank test) and mortality (assessed using relative risk [RR] 30 days after enrollment). Results: The analysis included 999 patients with a median age of 61 years (IQR, 50-73 years); 554 (55.5%) were male. Biomarker-positive patients had lower survival and higher mortality at 30 days in the groups with AKI stage 1 (RR, 2.20; 95% CI, 1.02-4.72), stage 2 (RR, 1.53; 95% CI, 1.04-2.27), and stage 3 (RR, 1.61; 95% CI, 1.00-2.60). The associations were specific to patients with AKI. No difference in 30-day survival was found between biomarker-positive and biomarker-negative patients in the absence of functional criteria for AKI (RR, 1.16; 95% CI, 0.45-3.01). Conclusions and Relevance: The findings suggest that assessment of the cell-cycle arrest biomarkers TIMP-2 and IGFBP7 may augment AKI staging for patients with functional criteria for AKI.

Indexed as

Acute Kidney InjurySepsisShock, SepticAgedBiomarkersCohort StudiesCreatinineFemaleHumansMaleMiddle AgedTissue Inhibitor of Metalloproteinase-2BiomarkersCreatinineTissue Inhibitor of Metalloproteinase-2

Identifiers

PMID35583867
PMCPMC9118077

What OpenQuestion holds

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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.