Evidence map›Paper›PMID 40036793›Full record

ArticleThe Journal of clinical endocrinology and metabolism2025

Reference Intervals for 24-Hour Urinary Calcium Excretion and Its Association With Bone Metabolism: A Multicenter Study.

Li Shen, Hao Zhang, Qi Lu, Shanshan Li, Yazhao Mei, Chao Gao, Hua Yue, Xiangtian Yu, Qi Yao, Yanan Huo and 8 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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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

2 citing papers in PubMed.

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4 · The record

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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

18 authors.

Li ShenSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200225, China.
Hao ZhangDepartment of Osteoporosis and Bone Disease, Shanghai Clinical Research Center of Bone Disease, Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Qi LuDepartment of Osteoporosis and Bone Disease, Shanghai Clinical Research Center of Bone Disease, Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Shanshan LiDepartment of Osteoporosis and Bone Disease, Shanghai Clinical Research Center of Bone Disease, Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Yazhao MeiDepartment of Osteoporosis and Bone Disease, Shanghai Clinical Research Center of Bone Disease, Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Chao GaoDepartment of Osteoporosis and Bone Disease, Shanghai Clinical Research Center of Bone Disease, Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Hua YueDepartment of Osteoporosis and Bone Disease, Shanghai Clinical Research Center of Bone Disease, Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.ORCID 0000-0002-9179-5894
Xiangtian YuClinical Research Center, Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.ORCID 0000-0002-9571-3446
Qi YaoDepartment of Geriatrics, The First Affiliated Hospital of Ningbo University, Ningbo 315010, China.
Yanan HuoDepartment of Endocrinology, Jiangxi People's Hospital, Nanchang 331400, China.
Yuhong ZengDepartment of Osteoporosis, Honghui Hospital Affiliated to Xi'an Jiaotong University, Xi'an 710054, China.
Yin JiangDepartment of Rheumatism, Liuzhou Worker's Hospital, Liuzhou 545000, China.
Zhongjian XieHunan Provincial Key Laboratory of Metabolic Bone Diseases, National Clinical Research Center for Metabolic Diseases, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha 410011, China.
Aijun ChaoDepartment of Orthopaedics, Tianjin Hospital, Tianjin 300211, China.
Xiaolan JinDepartment of Endocrinology, Chengdu Military General Hospital, Chengdu 610075, China.
Guangjun YuSchool Engineering Research Center for Big Data in Pediatric Precision Medicine, Shanghai 200040, China.ORCID 0000-0002-3159-4652
Li MaoDepartment of Endocrinology, Huai'an First People's Hospital Affiliated to Nanjing Medical University, Huai'an 223300, China.ORCID 0009-0004-7243-8017
Zhenlin ZhangDepartment of Osteoporosis and Bone Disease, Shanghai Clinical Research Center of Bone Disease, Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.ORCID 0000-0002-4339-1617

Funding

Beijing Science and Technology Innovation Medical Development Foundation KC2021-JX-0208LMChugai Pharma China CoClinical Retrospective Research Project of Shanghai Sixth People's Hospital ynhg202210Shanghai Research Center for Endocrine and Metabolic Diseases 2022ZZ01002Training Program for Research Physicians in Innovation and Translation of SHDC SHDC2023CRS039Whitechapel Foundation Project GX2021A02
6 · The paper itself

Abstract

contextThe 24-hour urinary calcium excretion (UCaE) not only serves as an important indicator of calcium metabolism balance but also correlates with metabolic diseases. However, the distribution of 24-hour UCaE and its relationship with bone metabolism are unknown.

objectiveTo investigate the distribution of 24-hour UCaE and its association with bone metabolism.

methodsIn this multicenter cross-sectional study, 1239 participants underwent physical examinations at 9 tertiary hospitals. Multivariate linear regression was used to explore bone metabolism associated with 24-hour UCaE. The relationship of bone metabolism with 24-hour urinary calcium excretion/urinary creatinine (UCaE/Ucr) was analyzed by using restrictive cubic splines fitting multiple linear regression model.

resultsThe 24-hour UCaE median range was 2.27 mmol overall, 2.24 mmol in men, and 2.28 mmol in women. For men, the highest 24-hour UCaE/Ucr was observed in those aged between 30 and 44 years (median: 0.70), whereas the lowest was found aged between 18 and 29 years (median: 0.46). For women, the 24-hour UCaE/Ucr showed a gradual increase with advancing age. In the adjusted model, 24-hour UCaE/Ucr was independently positively associated with 25(OH)D in both men (P = .032) and women (P < .001). It was independently associated with parathyroid hormone (PTH) (P = .031), type Ⅰ collagen-containing cross-linked C-telopeptide (β-CTX) (P = .021) and procollagen type I N-propeptide (P1NP) (P = .048) in men, but not in women. The prevalence of hypercalciuria was 11.6% (men 7.5%; women 14.0%) and significantly varied across age groups and regions (P < .05).

conclusionThis study established reference intervals for 24-hour UCaE in the Chinese population. This study found gender differences in the relationship between 24-hour UCaE and bone metabolism.

Indexed as

Bone and BonesCalciumAdolescentAdultAgedBiomarkersCreatinineCross-Sectional StudiesFemaleHumansMaleMiddle AgedReference ValuesYoung AdultBiomarkersCalciumCreatinine24-hour urinary calcium excretionbone metabolismmulticenter cross-sectional studyreference intervals

Identifiers

PMID40036793
PMCPMC12527428

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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.