Evidence map›Paper›PMID 39043778›Full record

ArticleScientific reports2024

Circulating white blood cell traits and prolonged night shifts: a cross-sectional study based on nurses in Guangxi.

Zhenkun Tang, Yuanfang Liu, Yiyi Cheng, Yelong Liu, Yanghua Wang, Qiao He, Rongqi Qin, Wenrui Li, Yi Lei, Haizhou Liu

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

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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

10 authors.

Zhenkun Tang *Information Center, The Second Nanning People's Hospital, Nanning, 530031, Guangxi Zhuang Autonomous Region, People's Republic of China.
Yuanfang Liu *Department of Traditional Chinese Medicine, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Yiyi ChengDepartment of Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Yelong LiuDepartment of Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Yanghua WangDepartment of Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Qiao HeDepartment of Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Rongqi QinDepartment of Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Wenrui LiDepartment of Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Yi LeiDepartment of Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China. 337055981@qq.com.
Haizhou LiuDepartment of Research, Guangxi Medical University Cancer Hospital, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China. liuhaizhou@gxmu.edu.cn.

Funding

2022 Guangxi Zhuang Autonomous Region Student Innovation and Entrepreneurship Training Program S202210598179Self-funded scientific research project of the Guangxi Zhuang Autonomous Region Health Committee Z-A20230756
6 · The paper itself

Abstract

This study aimed to elucidate the effects of long day and night shifts on immune cells in a population of nurses. This cross-sectional study in December 2019 was based on a group of nurses. 1568 physically healthy caregivers were included, including 1540 women and 28 men. 1093 nurses had long-term shift work (working in a rotating system for > 1 year). The receiver operating characteristic curve, Ensemble Learning, and Logistic regression analyses were used to evaluate factors related to long-term shift work. The night shift group nurses had significantly higher MPV, PLCR, and WBC and significantly lower BASO%, ELR, MCHC, PLR, RDW-CV, and RDW-SD (P < 0.01). ROC curves showed that WBC, PLR, ELR, RDW_CV, and BASO% were more related to the night shift. Ensemble Learning, combined with the LASSO model, finally filtered out three indicators of night shifts related to ELR, WBC, and RDW_SD. Finally, logistic regression analysis showed that the nurses' night shift situation greatly influenced two peripheral blood ELR and WBC indicators (ELR: log (OR) =  - 3.9, 95% CI: - 5.8- - 2.0; WBC: log (OR) = 0.25, 95% CI: 0.18-0.32). Finally, we showed that, unlike WBC, the relative riskiness of ELR showed opposite results among junior nurses and middle-senior nurses (log (OR) 6.5 (95% CI: 1.2, 13) and - 7.1 (95% CI: - 10, - 3.8), respectively). Our study found that prolonged night shifts were associated with abnormal WBC and ELR, but after strict age matching, WBC remained significantly different. These findings help to confirm that COVID-19 and tumorigenesis (e.g., breast cancer) are significantly associated with circadian rhythm disruption. However, more detailed studies are needed to confirm this.

Indexed as

NursesShift Work ScheduleAdultChinaCOVID-19Cross-Sectional StudiesFemaleHumansLeukocyte CountLeukocytesMaleMiddle AgedWork Schedule ToleranceCircadian rhythmEosinophil-to-lymphocyte ratioNursesShift workWBC

Identifiers

PMID39043778
PMCPMC11266706

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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.