Evidence map›Paper›PMID 38002686›Full record

ArticleJournal of clinical medicine2023

The Association between the Platelet to White Blood Cell Ratio and Chronic Kidney Disease in an Aging Population: A Four-Year Follow-Up Study.

Yang Xiong, Qian Zhong, Yangchang Zhang, Feng Qin, Jiuhong Yuan

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 9% of its field
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

11 citing papers in PubMed, 11 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Yang XiongDepartment of Urology and Andrology Laboratory, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0003-3901-2394
Qian ZhongDepartment of Endocrinology, West China Hospital, Sichuan University, Chengdu 610041, China.
Yangchang ZhangDepartment of Public Health, Capital Medical University, Beijing 100054, China.
Feng QinDepartment of Urology and Andrology Laboratory, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0001-9521-7146
Jiuhong YuanDepartment of Urology and Andrology Laboratory, West China Hospital, Sichuan University, Chengdu 610041, China.
Sichuan University · CNCapital Medical University · CN

Funding

Natural Science Foundation of China 82071639Sichuan Science and Technology Program 2022YFS0028Sichuan Science and Technology Program 2022YFS0134
6 · The paper itself

Abstract

introductionThe platelet to white blood cell ratio (PWR) has been reported to be a prognostic factor for some diseases, such as subarachnoid hemorrhage. However, the association between the PWR and chronic kidney disease (CKD) remains unknown. To investigate the cross-sectional and longitudinal association between the PWR and CKD, this study was performed.

methodsThis study used datasets from a national prospective cohort in China (China Health and Retirement Longitudinal Study). A retrospective cohort from 2011 to 2015 was constructed. The PWR was stratified as a categorical variable according to tertiles (T1-T3 groups). CKD was defined as an estimated glomerular filtration rate < 60 mL min

resultsA total of 8600 participants were included in this study. In the full model, the odds ratios (ORs) of prevalent CKD were 0.78 (95% CI = 0.62-0.97,

conclusionsA high PWR is associated with a reduced risk of prevalent and incident CKD. The PWR may serve as a predictor for CKD, facilitating the early identification and intervention of kidney function decline.

Indexed as

agingCHARLSchronic kidney diseaseplatelet to white blood cell ratio

Identifiers

PMID38002686
PMCPMC10672662
OpenAlexW4388661694

What OpenQuestion holds

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Registered trials

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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.