Evidence map›Paper›PMID 35372977›Full record

ArticleKidney3602021

The Impact of Outpatient Laboratory Alerting Mechanisms in Patients with AKI.

Nicole V Tolan, Salman Ahmed, Tolumofe Terebo, Zain M Virk, Athena K Petrides, Jaime R Ransohoff, Christiana A Demetriou, Yvelynne P Kelly, Stacy E F Melanson, Mallika L Mendu

Abstract read
In one paragraph

Article in Kidney360, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Nicole V TolanDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
Salman AhmedDepartment of Medicine, Baylor College of Medicine, Houston, Texas.
Tolumofe TereboDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.ORCID 0000-0002-4209-6085
Zain M VirkHarvard Medical School, Boston, Massachusetts.
Athena K PetridesDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
Jaime R RansohoffDepartment of Epidemiology, Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0000-0002-7195-0973
Christiana A DemetriouDepartment of Primary Care and Population Health, University of Nicosia Medical School, Nicosia, Cyprus.
Yvelynne P KellyDepartment of Critical Care Medicine, St. James Hospital, Dublin, Ireland.
Stacy E F MelansonDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
Mallika L MenduHarvard Medical School, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: AKI is an abrupt decrease in kidney function associated with significant morbidity and mortality. Electronic notifications of AKI have been utilized in patients who are hospitalized, but their efficacy in the outpatient setting is unclear. Methods: We evaluated the effect of two outpatient interventions: an automated comment on increasing creatinine results (intervention I; 6 months; Results: Providers were more likely to document AKI in interventions I ( Conclusions: An automated comment was associated with improved documented recognition of AKI and the additive intervention of an email alert was associated with increased discontinuation of nephrotoxins, but neither improved clinical outcomes. Translation of these findings into improved outcomes may require corresponding standardization of clinical practice protocols for managing AKI.

Indexed as

Acute Kidney InjuryOutpatientsCreatinineHospitalizationHumansCreatinineacute kidney injuryacute kidney injury and ICU nephrologycreatininedocumentationlaboratory alertsnephrotoxinsoutcomesoutpatients

Identifiers

PMID35372977
PMCPMC8785781

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.