Evidence map›Paper›PMID 40158028›Full record

ArticleScientific reports2025

Association between COVID-19 and the development of chronic kidney disease in patients without initial acute kidney injury.

I-Wen Chen, Li-Chen Chang, Chun-Ning Ho, Jheng-Yan Wu, Ya-Wen Tsai, Chien-Ming Lin, Ying-Jen Chang, Kuo-Chuan Hung

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  6. Long COVID and the kidney.Nature reviews. Nephrology · 2025
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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

8 authors.

I-Wen ChenDepartment of Anesthesiology, Chi Mei Medical Center, Liouying, Tainan City, Taiwan.
Li-Chen ChangDepartment of Anesthesiology, E-Da Hospital, I-Shou University, Kaohsiung City, Taiwan.
Chun-Ning HoSchool of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung City, Taiwan.
Jheng-Yan WuDepartment of Nutrition, Chi Mei Medical Center, Tainan City, Taiwan.
Ya-Wen TsaiDivision of Preventive Medicine, Chi Mei Medical Center, Tainan City, Taiwan.
Chien-Ming LinSchool of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung City, Taiwan.
Ying-Jen ChangDepartment of Anesthesiology, Chi Mei Medical Center, Tainan City, Taiwan.
Kuo-Chuan HungSchool of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung City, Taiwan. ed102605@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the association between COVID-19 and acute kidney injury (AKI) is well documented, the impact of COVID-19 on the development of advanced chronic kidney disease (CKD) remains unclear, particularly in patients without initial AKI. Using the TriNetX healthcare database, we conducted a matched cohort study comparing 141,587 COVID-19 and 141,587 influenza patients. We excluded patients with AKI within one month of infection and matched groups on demographics, comorbidities, and baseline laboratory values. The primary outcome was the incidence of advanced CKD (stages 3-5) at the 12-month follow-up. COVID-19 patients showed higher 12-month risks of advanced CKD (hazard ratio [HR]:2.02, 95% confidence interval [CI]:1.69-2.42, p < 0.0001), AKI (HR 3.04, 95%CI:2.61-3.55, p < 0.0001), and estimated glomerular filtration rate < 60 mL/min/1.73 m

Indexed as

Acute Kidney InjuryCOVID-19Renal Insufficiency, ChronicAdultAgedComorbidityFemaleGlomerular Filtration RateHumansIncidenceInfluenza, HumanMaleMiddle AgedRisk FactorsSARS-CoV-2Acute kidney injuryChronic kidney diseaseCOVID-19Renal function

Identifiers

PMID40158028
PMCPMC11954888

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.