Evidence map›Paper›PMID 37607496›Full record

ReviewNephron2023

Challenges in Pharmacovigilance: Variability in the Criteria for Determining Drug-Associated Acute Kidney Injury in Retrospective, Observational Studies.

Nabihah Amatullah, Britney A Stottlemyer, Isabelle Zerfas, Cole Stevens, Tezcan Ozrazgat-Baslanti, Azra Bihorac, Sandra L Kane-Gill

Abstract readReview
In one paragraph

Review in Nephron, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

7 authors.

Nabihah AmatullahDepartment of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Britney A StottlemyerDepartment of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Isabelle ZerfasDepartment of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Cole StevensDepartment of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Tezcan Ozrazgat-BaslantiIntelligent Critical Care Center, University of Florida, Gainesville, Florida, USA.
Azra BihoracIntelligent Critical Care Center, University of Florida, Gainesville, Florida, USA.
Sandra L Kane-GillDepartment of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Pharmacology CoreU54AT008909 · NCCIH · WASHINGTON STATE UNIVERSITY · PI PAINE, MARY F · 2015 to 2024
$22.4M
The Pittsburgh Scientific and Data Research Center for the COPE-AKI Consortium (Pitt-SDRC)-SupplementU01DK130010 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Kaleab Z Abebe, LINDA Faith FRIED · 2021 to 2026
$6.1M
Integrating data, algorithms and clinical reasoning for surgical risk assessmentR01GM110240 · NIGMS · UNIVERSITY OF FLORIDA · PI BIHORAC, AZRA, RASHIDI, PARISA · 2016 to 2025
$5.1M
(MEnD-AKI) Multicenter Implementation of an Electronic Decision Support System for Drug-associated AKIR01DK121730 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BIHORAC, AZRA, KANE-GILL, SANDRA L · 2021 to 2025
$3.2M
ADAPT: Autonomous Delirium Monitoring and Adaptive PreventionR01NS120924 · NINDS · UNIVERSITY OF FLORIDA · PI BIHORAC, AZRA, RASHIDI, PARISA · 2021 to 2025
$2.9M
Intelligent Intensive Care Unit (I2CU): Pervasive Sensing and Artificial Intelligence for Augmented Clinical Decision-makingR01EB029699 · NIBIB · UNIVERSITY OF FLORIDA · PI BIHORAC, AZRA, RASHIDI, PARISA · 2021 to 2024
$2.4M
The circadian clock protein BMAL and post-translational regulation of ENaC in the kidneyR01DK123078 · NIDDK · UNIVERSITY OF FLORIDA · PI ALLI, ABDEL AYUBE · 2020 to 2024
$1.7M
Development and Validation of Computational Algorithms to Assess Kidney Health in Electronic Health RecordsK01DK120784 · NIDDK · UNIVERSITY OF FLORIDA · PI OZRAZGAT BASLANTI, TEZCAN · 2020 to 2023
$580k
Autonomous Pain Recognition in Non-Verbal and Critically Ill PatientsR21EB027344 · NIBIB · UNIVERSITY OF FLORIDA · PI RASHIDI, PARISA · 2019 to 2022
$577k
NCATS NIH HHS UL1 TR001427NCCIH NIH HHS U54 AT008909NIBIB NIH HHS R01 EB029699NIBIB NIH HHS R21 EB027344NIDDK NIH HHS K01 DK120784NIDDK NIH HHS R01 DK121730NIDDK NIH HHS R01 DK123078NIDDK NIH HHS U01 DK130010NIGMS NIH HHS R01 GM110240NINDS NIH HHS R01 NS120924
6 · The paper itself

Abstract

backgroundDrug-associated acute kidney injury (D-AKI) accounts for 19-26% of acute kidney injury (AKI) events in hospitalized patients and results in outcomes similar to patients with AKI from other etiologies. Diagnosing D-AKI is complex and various criteria have been used. SUMMARY: To highlight the variability in D-AKI determination, a review was conducted between January 2017 and December 2022 using PubMed. Search terms included adaptations of "drug associated kidney injury" to identify a sampling of literature discussing definitions and criteria for D-AKI evaluation. The search yielded 291 articles that were uploaded to Rayyan, a software tool used to screen and select studies. Retrospective, observational electronic health record (EHR) studies conducted in hospitalized patients were included. The final sample contained 16 studies for data extraction, representing mostly adult populations (n = 13, 81.3%) in noncritical or unspecified inpatient settings (n = 12, 75%). Nine studies (56.3%) utilized the recommended Kidney Disease: Improving Global Outcome guidelines (KDIGO) criteria to define AKI. Baseline creatinine or laboratory criteria for kidney function were provided in 10 studies (62.5%). Eleven studies (68.8%) established a temporal sequence assessment linking nephrotoxin drug exposure to an AKI event, but these criteria were inconsistent among studies using time frames as soon as 3 months prior to AKI.

conclusionThis review highlights the substantial variability in D-AKI criteria in select studies. Minimum expectations about what should be reported and criteria for the elements reported are needed to assure transparency, consistency, and standardization of pharmacovigilance strategies.

Indexed as

Acute Kidney InjuryPharmacovigilanceAdultCreatinineHumansKidneyKidney Function TestsRetrospective StudiesCreatinineAcute kidney injuryMedication errorsPatient harmPatient safetyPharmacovigilance

Identifiers

PMID37607496
PMCPMC10776175

What OpenQuestion holds

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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.