A Review of Electronic Early Warning Systems for Acute Kidney Injury.

Xiangxiang Wang, Zhixiang Bian, Rui Zhu, Shunjie Chen

Abstract readReview

In one paragraph

Review in Advances in urology, 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

4 authors.

Xiangxiang WangDepartment of Nephrology Shanghai Fourth People's Hospital School of Medicine Tongji University, Shanghai 200434, China.ORCID https://orcid.org/0009-0008-6680-258X

Zhixiang BianDepartment of Nephrology Shanghai Fourth People's Hospital School of Medicine Tongji University, Shanghai 200434, China.ORCID https://orcid.org/0009-0005-1963-7735

Rui ZhuDepartment of Nephrology Shanghai Fourth People's Hospital School of Medicine Tongji University, Shanghai 200434, China.ORCID https://orcid.org/0009-0002-4154-5288

Shunjie ChenDepartment of Nephrology Shanghai Fourth People's Hospital School of Medicine Tongji University, Shanghai 200434, China.ORCID https://orcid.org/0009-0005-2464-9538

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) is characterized by impaired renal function that can result in irreversible severe renal impairment or lifelong dependence on renal replacement therapy in some cases. Early intervention can significantly slow down the progression of AKI and reduce mortality. In recent years, electronic early warning systems for patients with AKI have been gaining attention as a potential clinical decision-support option. This paper presents a review of the application of electronic early warning systems for AKI from four aspects: development process, types of output, influencing factors, and system evaluation.

Identifiers

PMID39381592

DOI10.1155/2024/6456411

PMCPMC11461063

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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.