Evidence map›Paper›PMID 39252153›Full record

SynthesisRenal failure2024

The effect of clinical decision support systems on clinical outcomes in acute kidney injury: a systematic review and meta-analysis of randomized controlled trials.

Obieda Altobaishat, Mohamed Abouzid, Ahmed Mazen Amin, Abdallah Bani-Salameh, Mohammad Tanashat, Omar Abdullah Bataineh, Mustafa Turkmani, Mohamed Abuelazm, Muner M B Mohamed

Abstract readSystematic ReviewMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Obieda AltobaishatFaculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Mohamed AbouzidDepartment of Physical Pharmacy and Pharmacokinetics, Faculty of Pharmacy, Poznan University of Medical Sciences, Poznan, Poland.
Ahmed Mazen AminFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Abdallah Bani-SalamehFaculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Mohammad TanashatFaculty of Medicine, Yarmouk University, Irbid, Jordan.
Omar Abdullah BatainehFaculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Mustafa TurkmaniFaculty of Medicine, Michigan State University, East Lansing, MI, USA.
Mohamed AbuelazmFaculty of Medicine, Tanta University, Tanta, Egypt.
Muner M B MohamedDepartment of Nephrology, Ochsner Health System, New Orleans, LA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine whether clinical decision support systems (CDSS) for acute kidney injury (AKI) would enhance patient outcomes in terms of mortality, dialysis, and acute kidney damage progression.

methodsThe systematic review and meta-analysis included the relevant randomized controlled trials (RCTs) retrieved from PubMed, EMBASE, Web of Science, Cochrane, and SCOPUS databases until 21st January 2024. The meta-analysis was done using (RevMan 5.4.1). PROSPERO ID: CRD42024517399.

resultsOur meta-analysis included ten RCTs with 18,355 patients. There was no significant difference between CDSS and usual care in all-cause mortality (RR: 1.00 with 95% CI [0.93, 1.07],

conclusionsCDSS were not associated with clinical benefit in patients with AKI, with no effect on all-cause mortality or the need for renal replacement therapy. However, CDSS reduced the incidence of hyperkalemia and improved eGFR change in AKI patients.

Indexed as

Acute Kidney InjuryDecision Support Systems, ClinicalRandomized Controlled Trials as TopicGlomerular Filtration RateHumansHyperkalemiaRenal DialysisRenal Replacement TherapyAcute kidney injurycare bundleclinical decision support systemelectronic alert

Identifiers

PMID39252153
PMCPMC11389631

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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.