Evidence map›Paper›PMID 42276811›Full record

ArticleBMJ open2026

Persistent increased risk of renal replacement therapy following COVID-19: a 2-year follow-up study in Japan using propensity score matching and inverse probability censoring weighting.

Daisuke Miyamori, Shingo Fukuma, Kotaro Ikeda, Daisuke Haratake, Shuhei Yoshida, Masanori Ito

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Daisuke MiyamoriDepartment of General Internal Medicine, Hiroshima University Hospital, Hiroshima, Japan morimiya@hiroshima-u.ac.jp.ORCID http://orcid.org/0000-0002-1352-3738
Shingo FukumaDepartment of Epidemiology Disease Control and Prevention, Graduate school of Biomedical and Health Sciences, Hiroshima University, Hiroshima-city, Hiroshima, Japan.
Kotaro IkedaDepartment of General Internal Medicine, Hiroshima University Hospital, Hiroshima, Japan.
Daisuke HaratakeDepartment of General Internal Medicine, Hiroshima University Hospital, Hiroshima, Japan.
Shuhei YoshidaDepartment of General Internal Medicine, Hiroshima University Hospital, Hiroshima, Japan.ORCID http://orcid.org/0000-0002-6747-1857
Masanori ItoDepartment of General Internal Medicine, Hiroshima University Hospital, Hiroshima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis retrospective cohort study investigated the long-term risk of end-stage kidney disease (ESKD) following COVID-19 using a nationwide database of Japanese medical claims.

methodsPropensity score matching was utilised to form a cohort of individuals with COVID-19 and a non-infected control group using data from the National Claims Database encompassing six prefectures in Japan. The primary outcome measured was the initiation of renal replacement therapy (dialysis or kidney transplantation) after the index month of the study period. Cox proportional hazards models incorporating inverse probability of censoring weighting were employed to estimate HRs for the association between COVID-19 and ESKD.

resultsA total of 3 073 150 pairs were matched in this study. During follow-up, COVID-19 was associated with a significantly increased instantaneous risk of the composite ESKD outcome (HR 2.79, 95% CI 2.56 to 3.04). The risk was increased for haemodialysis initiation (HR 2.77, 95% CI 2.54 to 3.02) and peritoneal dialysis (HR 5.16, 95% CI 1.93 to 13.75), whereas the estimate for kidney transplantation was imprecise (HR 5.20, 95% CI 0.62 to 43.27). Subgroup analyses showed broadly consistent associations across age, sex, hypertension, diabetes and COVID-19 severity.

conclusionThese findings suggest that COVID-19 may have sustained adverse effects on kidney outcomes, supporting close post-acute renal monitoring and early risk stratification in high-risk patients.

Indexed as

COVID-19Kidney Failure, ChronicKidney TransplantationRenal Replacement TherapyAdultAgedFemaleFollow-Up StudiesHumansJapanMaleMiddle AgedPropensity ScoreProportional Hazards ModelsRenal DialysisRetrospective StudiesCOVID-19DialysisEnd stage renal failureRenal transplantation

Identifiers

PMID42276811
PMCPMC13264948

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LicenceCC BY-NC
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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.