Evidence map›Paper›PMID 42145513›Full record

ArticleFrontiers in public health2026

Association between night shift work, genetic risk, and chronic kidney disease: a prospective cohort study based on the UK Biobank.

Qianchun Xu, Jiayao Fan, Zhiyi Chen, Duo Lv, Dan Zhou, Zhangfei Shou, Xishao Xie

Abstract read
In one paragraph

Article in Frontiers in public health, 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.

Qianchun Xu *Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Jiayao Fan *School of Public Health, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China.
Zhiyi ChenDepartment of Nephrology, Shulan Hangzhou Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Key Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Hangzhou, China.
Duo LvDepartment of Clinical Pharmacy, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Dan ZhouSchool of Public Health, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China.
Zhangfei ShouDepartment of Nephrology, Shulan Hangzhou Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Key Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Hangzhou, China.
Xishao XieKidney Disease Center, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the association between night shift work and chronic kidney disease (CKD) risk and evaluate the interacting role of genetic susceptibility. Methods: This prospective cohort study included 252,425 participants from the UK Biobank for current night shift analysis and 67,097 for lifetime exposure. Cox proportional hazards models assessed the relationship between various shift patterns and CKD incidence. Formal interaction analyses (additive and multiplicative scales) and sensitivity analyses were conducted. Reporting followed STROBE guidelines. Results: Compared to those who never or rarely worked night shifts, permanent night shift workers had a significantly higher CKD risk (HR 1.19, 95% CI 1.06-1.34). Lifetime analyses revealed significant associations between incident CKD risk and duration, frequency, shift length, and consecutive shifts. Participants with high genetic risk and permanent night shift exposure had the highest CKD risk (HR 2.49, 95% CI 2.07-2.99). Potential interactions between genetic susceptibility and specific night shift patterns were suggested ( Conclusions: Night shift work-particularly permanent schedules and adverse shift patterns-increases the risk of CKD, especially among individuals with high genetic predisposition. Optimizing shift schedules may help reduce CKD incidence.

Indexed as

Genetic Predisposition to DiseaseRenal Insufficiency, ChronicShift Work ScheduleAdultFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsUK BiobankUnited Kingdomchronic kidney diseasecircadian rhythmgenetic susceptibilitynight shift workoccupational health

Identifiers

PMID42145513
PMCPMC13171536

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.