Evidence map›Paper›PMID 28088774›Full record

SynthesisNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2017

Association between e-alert implementation for detection of acute kidney injury and outcomes: a systematic review.

Philippe Lachance, Pierre-Marc Villeneuve, Oleksa G Rewa, Francis P Wilson, Nicholas M Selby, Robin M Featherstone, Sean M Bagshaw

Registry-linked trialAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04929730 (Effect of Organisation of Medical Care on Health Status in Patients With Acute Kidney Injury), which is not on this map. Cited by 56 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 7 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.

NCT04929730 naunknown statusnot on this mapstarted 2019, after this paper: background citation

Effect of Organisation of Medical Care on Health Status in Patients With Acute Kidney Injury

TypeinterventionalSponsorMedizinisches Versorgungszentrum Diaverum PotsdamRan2019 to 2023Enrolled600ConditionsAcute Renal InsufficiencyArmsNephrology care bundle
3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Trial
  9. Trial
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. New approaches to acute kidney injury.Clinical kidney journal · 2024
    Article
  18. Review
  19. Review
  20. 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.

Philippe LachanceDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
Pierre-Marc VilleneuveDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
Oleksa G RewaDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
Francis P WilsonSection Nephrology, Program of Applied Translational Research, Yale University School of Medicine, New Haven, CT, USA.
Nicholas M SelbyDivision of Medical Sciences and Graduate Entry Medicine, Centre for Kidney Research and Innovation, University of Nottingham, Derby, UK.
Robin M FeatherstoneDepartment of Paediatrics, Faculty of Medicine and Dentistry, Alberta Research Center for Health Evidence (ARCHE), University of Alberta, Edmonton, AB, Canada.
Sean M BagshawDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.

Funding

Mediators & prognostic value of muscle mass & function in chronic kidney diseaseK23DK097201 · NIDDK · YALE UNIVERSITY · PI WILSON, FRANCIS PERRY · 2013 to 2017
$916k
NIDDK NIH HHS K23 DK097201
6 · The paper itself

Abstract

Background: Electronic alerts (e-alerts) for acute kidney injury (AKI) in hospitalized patients are increasingly being implemented; however, their impact on outcomes remains uncertain. Methods: We performed a systematic review. Electronic databases and grey literature were searched for original studies published between 1990 and 2016. Randomized, quasi-randomized, observational and before-and-after studies that included hospitalized patients, implemented e-alerts for AKI and described their impact on one of care processes, patient-centred outcomes or resource utilization measures were included. Results: Our search yielded six studies ( n  = 10 165 patients). E-alerts were generally automated, triggered through electronic health records and not linked to clinical decision support. In pooled analysis, e-alerts did not improve mortality [odds ratio (OR) 1.05; 95% confidence intervals (CI), 0.84-1.31; n  = 3 studies; n  = 3425 patients; I 2  =   0%] or reduce renal replacement therapy (RRT) use (OR 1.20; 95% CI, 0.91-1.57; n  = 2 studies; n  = 3236 patients; I 2  =   0%). Isolated studies reported improvements in selected care processes. Pooled analysis found no significant differences in prescribed fluid therapy. Conclusions: In the available studies, e-alerts for AKI do not improve survival or reduce RRT utilization. The impact of e-alerts on processes of care was variable. Additional research is needed to understand those aspects of e-alerts that are most likely to improve care processes and outcomes.

Indexed as

Health Plan ImplementationAcute Kidney InjuryFluid TherapyHumansRenal Replacement TherapyTelecommunicationsacute kidney injuryclinical decision supportelectronic alertmeta-analysissystematic review

Identifiers

PMID28088774
PMCPMC6251638

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.