Evidence map›Paper›PMID 32912188›Full record

ArticleBMC musculoskeletal disorders2020

Correlation between bone turnover and metabolic markers with age and gender: a cross-sectional study of hospital information system data.

Ju Shao, Shao-Song Zhou, Yuan Qu, Bi-Bo Liang, Qing-Hong Yu, Jing Wu

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

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  10. Short-Term Carbohydrate Restriction Impairs Bone Formation at Rest and During Prolonged Exercise to a Greater Degree than Low Energy Availability.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2022
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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

6 authors at 1 institution in 1 country.

Ju ShaoDepartment of Rheumatology and Clinical Immunology, ZhuJiang Hospital, Southern Medical University, 253 Gongye Ave, Guangzhou, 510282, Guangdong, China.
Shao-Song ZhouDepartment of Laboratory, ZhuJiang Hospital, Southern Medical University, Guangzhou, China.
Yuan QuDepartment of Rheumatology and Clinical Immunology, ZhuJiang Hospital, Southern Medical University, 253 Gongye Ave, Guangzhou, 510282, Guangdong, China.
Bi-Bo LiangDepartment of Rheumatology and Clinical Immunology, ZhuJiang Hospital, Southern Medical University, 253 Gongye Ave, Guangzhou, 510282, Guangdong, China.
Qing-Hong YuDepartment of Rheumatology and Clinical Immunology, ZhuJiang Hospital, Southern Medical University, 253 Gongye Ave, Guangzhou, 510282, Guangdong, China.
Jing WuDepartment of Rheumatology and Clinical Immunology, ZhuJiang Hospital, Southern Medical University, 253 Gongye Ave, Guangzhou, 510282, Guangdong, China. wujing211@163.com.ORCID http://orcid.org/0000-0002-6173-3254
Zhujiang Hospital · CN

Funding

National Natural Science Foundation of China 81601397National Natural Science Foundation of China 81771727
6 · The paper itself

Abstract

backgroundBone turnover and metabolic indicators are related to age and gender. Age and gender should be matched in subjects in disease control research of bone turnover and metabolism, but strict matching of gender and age increases the difficulty and cost of the research. Therefore, the aim of this study was to solve it is necessary to strictly match age and gender in clinical research in bone metabolism.

methodsA cross-sectional study was conducted from the data were extracted from the HIS of ZhuJiang Hospital. Data relating to seven bone turnover and metabolic indicators from 1036 patients between January 2018 and October 2019 were analyzed.

resultsP1NP, β-CTx and 25(OH)D were significant different in individuals younger than 20 years of age. ALP was significantly higher in those under 20 years of age and lower at age 20-39 compared with other age groups. The concentrations of Ca and P were different among the groups aged 0-19, 20-39, and 40-59 years of age groups but exhibited no difference above 60 years of age. PTH expression was not dependent on age. P1NP, β-CTx and PTH concentrations were not significantly different between the genders within the same age group. ALP was significantly different between genders within the age range 20-59 years. Ca and 25(OH)D were significantly different between the genders for those older than 60. Serum P was significantly different in the two genders for those aged 40-79. Patients received both alfacalcidol and calcium treatment differently from the others in P1NP, β-CTx, Serum Ca, P and ALP.

conclusionP1NP and β-CTx were highly correlated with age. If these two indictors require analysis in a case control study, the patients and controls should be strictly matched by age under 20 years. The demarcation point for ALP was 40 years of age. Ca and P were strongly recommended strict matching according to age in disease research. The difference in P1NP, β-CTx, 25(OH)D and ALP between genders depends on age differences. Medication history should be considered in bone turnover and metabolic clinical research.

Indexed as

Hospital Information SystemsProcollagenAdolescentAdultAgedBiomarkersBone DensityBone RemodelingCase-Control StudiesChildChild, PreschoolCollagen Type ICross-Sectional StudiesFemaleHumansInfantBiomarkersCollagen Type IProcollagenAgeBone metabolicBone turnoverChildrenGender

Identifiers

PMID32912188
PMCPMC7487991
OpenAlexW3084340170

What OpenQuestion holds

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LicenceCC BY
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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.