Evidence map›Paper›PMID 35465620›Full record

ArticlePractical laboratory medicine2022

Alerting to acute kidney injury - Challenges, benefits, and strategies.

Josko Ivica, Geetha Sanmugalingham, Rajeevan Selvaratnam

Abstract read
In one paragraph

Article in Practical laboratory medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Recovery of kidney function after acute kidney disease-a multi-cohort analysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
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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

3 authors.

Josko IvicaDepartment of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.
Geetha SanmugalinghamDivision of Nephrology, Department of Pediatrics, Hospital for Sick Children, Toronto, ON, Canada.
Rajeevan SelvaratnamUniversity Health Network, Laboratory Medicine Program, Division of Clinical Biochemistry, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute Kidney Injury (AKI) is a complex heterogeneous syndrome that often can go unrecognized and is encountered in multiple clinical settings. One strategy for proactive identification of AKI has been through electronic alerts (e-alerts) to improve clinical outcomes. The two traditional criteria for AKI diagnosis and staging have been urinary output and serum creatinine. The latter has dominated in aiding identification and prediction of AKI by alert models. While creatinine can provide information to estimate glomerular filtration rate, the utility to depict real-time change in rapidly declining kidney function is paradoxical. Alerts for AKI have recently been popularized by several studies in the UK showcasing the various use cases for detection and management by simply relying on creatinine changes. Predictive models for real-time alerting to AKI have also gone beyond simple delta checks of creatinine as reviewed here, and hold promise to leverage data contained beyond the laboratory domain. However, laboratory data still remains vital to e-alerts in AKI. Here, we highlight a select number of approaches for real-time alerting to AKI built on traditional consensus definitions, evaluate impact on clinical outcomes from e-alerts, and offer critiques on new and expanded definitions of AKI.

Indexed as

ADQI, Acute Dialysis Quality InitiativeAKI, Acute Kidney InjuryCDSS, Clinical Decision Support SystemsCr, serum creatinineUO, urine output

Identifiers

PMID35465620
PMCPMC9020093

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.