Evidence map›Paper›PMID 28674842›Full record

ReviewDrug safety2017

Clinical Relevance and Predictive Value of Damage Biomarkers of Drug-Induced Kidney Injury.

Sandra L Kane-Gill, Pamela L Smithburger, Kianoush Kashani, John A Kellum, Erin Frazee

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drug safety, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Sandra L Kane-GillDepartment of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, 638 Salk Hall, 3501, Terrace St., Pittsburgh, PA, 15261, USA. Kane-Gill@pitt.edu.
Pamela L SmithburgerDepartment of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, 638 Salk Hall, 3501, Terrace St., Pittsburgh, PA, 15261, USA.
Kianoush KashaniDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
John A KellumThe Center for Critical Care Nephology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Erin FrazeeDepartment of Pharmacy and Medicine, Mayo Clinic, Rochester, MN, USA.
University of Pittsburgh Medical Center · USMayo Clinic · USMayo Clinic in Arizona · USUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nephrotoxin exposure accounts for up to one-fourth of acute kidney injury episodes in hospitalized patients, and the associated consequences are as severe as acute kidney injury due to other etiologies. As the use of nephrotoxic agents represents one of the few modifiable risk factors for acute kidney injury, clinicians must be able to identify patients at high risk for drug-induced kidney injury rapidly. Recently, significant advancements have been made in the field of biomarker utilization for the prediction and detection of acute kidney injury. Such biomarkers may have a role both for detection of drug-induced kidney disease and implementation of preventative and therapeutic strategies designed to mitigate injury. In this article, basic principles of renal biomarker use in practice are summarized, and the existing evidence for six markers specifically used to detect drug-induced kidney injury are outlined, including liver-type fatty acid binding protein, neutrophil gelatinase-associated lipocalin, tissue inhibitor of metalloproteinase-2 times insulin-like growth factor-binding protein 7 ([TIMP-2]·[IGFBP7]), kidney injury molecule-1 and N-acetyl-β-D-glucosaminidase. The results of the literature search for these six kidney damage biomarkers identified 29 unique articles with none detected for liver-type fatty acid binding protein and [TIMP-2]·[IGFBP7]. For three biomarkers, kidney injury molecule-1, neutrophil gelatinase-associated lipocalin and N-acetyl-β-D-glucosaminidase, the majority of the studies suggest utility in clinical practice. While many questions need to be answered to clearly articulate the use of biomarkers to predict drug-induced kidney disease, current data are promising.

Indexed as

Acute Kidney InjuryBiomarkersCreatinineDrug-Related Side Effects and Adverse ReactionsGlomerular Filtration RateHumansPredictive Value of TestsUrodynamicsBiomarkersCreatinine

Identifiers

PMID28674842
OpenAlexW2734187905

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.