Evidence map›Paper›PMID 28372552›Full record

ReviewBMC nephrology2017

The 6R's of drug induced nephrotoxicity.

Linda Awdishu, Ravindra L Mehta

Abstract readReview
In one paragraph

Review in BMC nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
–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

61 citing papers in PubMed.

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1 more citing papers are in PubMed but not listed here.

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

2 authors.

Linda AwdishuUC San Diego Skaggs School of Pharmacy, San Diego, USA. lawdishu@ucsd.edu.ORCID 0000-0002-3187-3264
Ravindra L MehtaUC San Diego School of Medicine, 9500 Gilman Dr, La Jolla, CA, 92093, USA.

Funding

UAB-UCSD O'Brien Core Center for Acute Kidney Injury ResearchP30DK079337 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI AGARWAL, ANUPAM · 2008 to 2022
$18.3M
NIDDK NIH HHS P30 DK079337
6 · The paper itself

Abstract

Drug induced kidney injury is a frequent adverse event which contributes to morbidity and increased healthcare utilization. Our current knowledge of drug induced kidney disease is limited due to varying definitions of kidney injury, incomplete assessment of concurrent risk factors and lack of long term outcome reporting. Electronic surveillance presents a powerful tool to identify susceptible populations, improve recognition of events and provide decision support on preventative strategies or early intervention in the case of injury. Research in the area of biomarkers for detecting kidney injury and genetic predisposition for this adverse event will enhance detection of injury, identify those susceptible to injury and likely mitigate risk. In this review we will present a 6R framework to identify and mange drug induced kidney injury - risk, recognition, response, renal support, rehabilitation and research.

Indexed as

Acute Kidney InjuryBiomedical ResearchDrug-Related Side Effects and Adverse ReactionsHumansRenal Replacement TherapyRisk AssessmentSeverity of Illness IndexAcute kidney injuryAdverse reactionCrystalluriaDrugsGlomerularHypersensitivityNephrolithiasisNephrotoxicityTubular toxicity

Identifiers

PMID28372552
PMCPMC5379580

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.