Evidence map›Paper›PMID 37813523›Full record

ArticleKidney research and clinical practice2023

Electronic alert outpatient protocol improves the quality of care for the risk of postcontrast acute kidney injury following computed tomography.

Seokwoo Park, Jinyeong Yi, Yoon Jin Lee, Eun-Jeong Kwon, Giae Yun, Jong Cheol Jeong, Ho Jun Chin, Ki Young Na, Sejoong Kim

Open access · diamondAbstract read
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Article in Kidney research and clinical practice, 2023. 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
0.8field-weighted citation impact, top 28% of its field
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, 4 citations in OpenAlex.

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4 · The record

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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 at 3 institutions in 1 country.

Seokwoo ParkDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.
Jinyeong YiDepartment of Health Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea.
Yoon Jin LeeDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Eun-Jeong KwonDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Giae YunDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Jong Cheol JeongDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Ho Jun ChinDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Ki Young NaDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Sejoong KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Seoul National University · KRSeoul National University Bundang Hospital · KRSeoul National University of Science and Technology · KR

Funding

Ministry of Health and Welfare HI19C0481, HC20C0054
6 · The paper itself

Abstract

backgroundPrevention and diagnosis of postcontrast acute kidney injury (AKI) after contrast-enhanced computed tomography is burdensome in outpatient department. We investigated whether an electronic alert system could improve prevention and diagnosis of postcontrast AKI.

methodsIn March 2018, we launched an electronic alert system that automatically identifies patients with a baseline estimated glomerular filtration rate of <45 mL/min/1.73 m2, provides a prescription of fluid regimen, and recommends a follow-up for serum creatinine measurement. Participants prescribed contrast-enhanced computed tomography at outpatient department before and after the launch of the system were categorized as historical and alert group, respectively. Propensity for the surveillance of postcontrast AKI was compared using logistic regression. Risks of AKI, admission, mortality, and renal replacement therapy were analyzed.

resultsThe historical and alert groups included 289 and 309 participants, respectively. The alert group was more likely to be men and take diuretics. The most frequent volume of prophylactic fluid in historical and alert group was 1,000 and 750 mL, respectively. Follow-up for AKI was more common in the alert group (adjusted odds ratio, 6.00; p < 0.001). Among them, incidence of postcontrast AKI was not statistically different. The two groups did not differ in risks of admission, mortality, or renal replacement therapy.

conclusionThe electronic alert system could assist in the detection of high-risk patients, prevention with reduced fluid volume, and proper diagnosis of postcontrast AKI, while limiting the prescribing clinicians' burden. Whether the system can improve long-term outcomes remains unclear.

Indexed as

Acute kidney injuryAutomationContrast mediaElectronic prescriptionQuality of health care

Identifiers

PMID37813523
PMCPMC10565459
OpenAlexW4387073009

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.