Evidence map›Paper›PMID 29617846›Full record

ReviewNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2019

eResearch in acute kidney injury: a primer for electronic health record research.

Emily L Joyce, Dilhari R DeAlmeida, Dana Y Fuhrman, Priyanka Priyanka, John A Kellum

Abstract readReview
In one paragraph

Review in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Validation of an Electronic Pediatric Index of Mortality 2 Score in a Mixed Quaternary PICU.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2020
    Observational
  9. 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

5 authors.

Emily L JoyceDivision of Nephrology, Department of Pediatrics, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA.
Dilhari R DeAlmeidaDepartment of Health Information Management, University of Pittsburgh, Pittsburgh, PA, USA.
Dana Y FuhrmanDivision of Nephrology, Department of Pediatrics, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA.
Priyanka PriyankaCenter for Critical Care Nephrology, UPMC and University of Pittsburgh, Pittsburgh, PA, USA.
John A KellumCenter for Critical Care Nephrology, UPMC and University of Pittsburgh, Pittsburgh, PA, USA.

Funding

Research Training in Pediatric NephrologyT32DK091202 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BATES, CARLTON MATTHEW · 2011 to 2020
$2.2M
NIDDK NIH HHS T32 DK091202
6 · The paper itself

Abstract

Acute kidney injury (AKI) has a significant impact on patient morbidity and mortality as well as overall health care costs. eResearch, which integrates information technology and information management to optimize research strategies, provides a perfect platform for necessary ongoing AKI research. With the recent adoption of a widely accepted definition of AKI and near-universal use of electronic health records, eResearch is becoming an important tool in AKI research. Conducting eResearch in AKI should ideally be based on a relatively uniform methodology. This article is the first of its kind to describe a methodology for pursuing eResearch specific to AKI and includes an illustrative database example for critically ill patients. We discuss strategies for using serum creatinine and urine output in large databases to identify and stage AKI and ways to interpolate missing values and validate data. Issues specific to the pediatric population include variation in serum creatinine with growth, varied severity of illness scoring systems and medication dosage based on weight. Many of these same strategies used to optimize AKI eResearch can be applicable to real-time AKI alerts with potential integration of additional clinical variables.

Indexed as

Biomedical ResearchCritical IllnessDatabases, FactualAcute Kidney InjuryDecision Support Systems, ClinicalElectronic Health RecordsHumansacute kidney injuryAKIEHRelectronic health recordeResearch

Identifiers

PMID29617846
PMCPMC6399481

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.