Evidence map›Paper›PMID 33223467›Full record

SynthesisInternational immunopharmacology2021

Acute kidney injury and renal replacement therapy in COVID-19 patients: A systematic review and meta-analysis.

Xiaopeng Yang, Shasha Tian, Hui Guo

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International immunopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 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

34 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  14. COVID-19 and Glomerular Diseases.Kidney international reports · 2023
    Review
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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.

Xiaopeng YangDepartment of Nephrology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China.
Shasha TianDepartment of Nephrology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China.
Hui GuoDepartment of Nephrology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China; Department of Nephrology, The Shenzhen Baoan Shiyan People's Hospital, Shenzhen, Guangdong 518005, China. Electronic address: ghty966@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeReported rates of acute kidney injury (AKI) have varied significantly among studies of coronavirus disease 2019 (COVID-19) published to date. The present meta-analysis was conducted to gain clarity regarding AKI incidence and renal replacement therapy (RRT) use in COVID-19 patients.

methodsThe PubMed, Embase, Web of Science, medRxiv, and bioRxiv databases were systematically searched for COVID-19-related case reports published through 25 July 2020. Pooled analyses were conducted using R.

resultsThe pooled incidence of AKI in 51 studies including 21,531 patients was 12.3% (95% CI 9.5-15.6%), with higher rates of 38.9% in 290 transplant patients (95% CI 27.3-51.9%), 39.0% in 565 ICU patients (95% CI 23.2-57.6%) and 42.0% among 1745 deceased patients (95% CI 30.3-54.7%). RRT usage was reported in 39 studies of 17,664 patients, with an overall pooled use of 5.4% (95% CI 4.0-7.1%), with higher rates of 15.6% in 117 transplant patients (95%CI 9.9-23.8%) and 16.3% in 776 ICU patients (95% CI 11.1-23.3%).

conclusionAKI and RRT use among COVID-19 patients represent a major public health concern, and early and appropriate intervention should be called upon to improve the prognosis of patients suffering from AKI.

Indexed as

Renal Replacement TherapyAcute Kidney InjuryChinaCOVID-19HumansIncidenceSARS-CoV-2Acute kidney injuryCOVID-19Renal replacement therapy

Identifiers

PMID33223467
PMCPMC7608016

What OpenQuestion holds

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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.