Evidence map›Paper›PMID 36828919›Full record

ReviewInternational urology and nephrology2023

Long-term interplay between COVID-19 and chronic kidney disease.

Helmut Schiffl, Susanne M Lang

Open access · bronzeAbstract readReview
In one paragraph

Review in International urology and nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
15.6field-weighted citation impact, top 1% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Helmut SchifflUniversitätsklinikum LMU München, Medizinische Klinik IV, München, Germany. h-schiffl@t-online.de.ORCID http://orcid.org/0000-0003-0604-6109
Susanne M LangKlinik für Innere Medizin V, Universitätsklinikum Jena, Jena, Germany.ORCID http://orcid.org/0000-0003-1332-9879
Jena University Hospital · DELMU Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe COVID-19 pandemic may have an impact on the long-term kidney function of survivors. The clinical relevance is not clear.

methodsThis review summarises the currently published data.

resultsThere is a bidirectional relationship between chronic kidney disease and COVID-19 disease. Chronic kidney diseases due to primary kidney disease or chronic conditions affecting kidneys increase the susceptibility to COVID-19 infection, the risks for progression and critical COVID-19 disease (with acute or acute-on-chronic kidney damage), and death. Patients who have survived COVID-19 face an increased risk of worse kidney outcomes in the post-acute phase of the disease. Of clinical significance, COVID-19 may predispose surviving patients to chronic kidney disease, independently of clinically apparent acute kidney injury (AKI). The increased risk of post-acute renal dysfunction of COVID-19 patients can be graded according to the severity of the acute infection (non-hospitalised, hospitalised or ICU patients). The burden of chronic kidney disease developing after COVID-19 is currently unknown.

conclusionPost-acute COVID-19 care should include close attention to kidney function. Future prospective large-scale studies are needed with long and complete follow-up periods, assessing kidney function using novel markers of kidney function/damage, urinalysis and biopsy studies.

Indexed as

Acute Kidney InjuryCOVID-19Renal Insufficiency, ChronicHumansKidneyPandemicsProspective StudiesRetrospective StudiesAcute kidney injuryChronic kidney diseaseCOVID-19Post-acute COVID-19 syndrome

Identifiers

PMID36828919
PMCPMC9955527
OpenAlexW4321766222

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.