Evidence map›Paper›PMID 42509272›Full record

ArticleScientific reports2026

Seasonality of acute kidney injury incidence in Japanese outpatients.

Yuka Sakazaki, Yuki Kondo, Mizuki Okuma, Ayaka Seki, Takamasa Sakai, Tetsumi Irie, Yoichi Ishitsuka

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

7 authors.

Yuka Sakazaki *Department of Clinical Chemistry and Informatics, Graduate School of Pharmaceutical Sciences, Kumamoto University, 5-1 Oehommachi Chuo-ku, Kumamoto, 862-0973, Japan.
Yuki Kondo *Department of Clinical Chemistry and Informatics, Graduate School of Pharmaceutical Sciences, Kumamoto University, 5-1 Oehommachi Chuo-ku, Kumamoto, 862-0973, Japan. ykondo@kumamoto-u.ac.jp.ORCID 0000-0003-1456-7721
Mizuki OkumaDepartment of Clinical Chemistry and Informatics, Graduate School of Pharmaceutical Sciences, Kumamoto University, 5-1 Oehommachi Chuo-ku, Kumamoto, 862-0973, Japan.
Ayaka SekiDepartment of Clinical Chemistry and Informatics, Graduate School of Pharmaceutical Sciences, Kumamoto University, 5-1 Oehommachi Chuo-ku, Kumamoto, 862-0973, Japan.
Takamasa SakaiDrug Informatics, Faculty of Pharmacy, Meijo University, 150 Yagotoyama, Tempaku-ku, Nagoya, Japan.
Tetsumi IrieDepartment of Pharmaceutical Packaging Technology, Faculty of Life Sciences, Kumamoto University, 5-1 Oehommachi Chuo-ku, Kumamoto, Japan.
Yoichi IshitsukaDepartment of Clinical Chemistry and Informatics, Graduate School of Pharmaceutical Sciences, Kumamoto University, 5-1 Oehommachi Chuo-ku, Kumamoto, 862-0973, Japan.

Funding

Japan Society for the Promotion of Science JSPS KAKENHI Grant Number 19K13914
6 · The paper itself

Abstract

Acute kidney injury (AKI) is a clinically important condition associated with adverse outcomes. While community-acquired AKI is common, its seasonal patterns remain poorly understood, particularly in outpatient settings. This study aimed to examine the seasonality and community-acquired AKI in Japan. Of 4,401,387 individuals with at least 1 month of data in the Japanese health insurance claims database between August 2016 and July 2018, 4,282,805 were included in the analysis as outpatients. The monthly incidence of community-acquired AKI was evaluated using the incidence rate ratio (IRR) calculated by generalized estimating equations. We constructed multivariable models adjusted for sex, age, comorbidities and medications. There were 20,634 new-onset community-acquired AKI cases. The frequency of new-onset community-acquired AKI gradually increased from June to July, with the highest adjusted IRR in July (1.19 [95% confidence intervals: 1.11-1.27]). Subgroup analyses showed that IRRs for community-acquired AKI were consistently higher in July than in February across all categories. Notably, a significant interaction was observed between seasonality and age (P = 0.029), with the highest IRR observed in the youngest age group (< 20 years). These results suggest the potential relevance of seasonal and environmental factors in AKI prevention in outpatient settings.

Indexed as

Acute Kidney InjuryOutpatientsSeasonsAdolescentAdultAgedAged, 80 and overEast Asian PeopleFemaleHumansIncidenceJapanMaleMiddle AgedYoung AdultAcute kidney injuryClaim databaseDehydrationOutpatientSeasonality

Identifiers

PMID42509272
PMCPMC13407886

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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.