Evidence map›Paper›PMID 36452328›Full record

ArticleFrontiers in endocrinology2022

Screening of osteoporosis and sarcopenia in individuals aged 50 years and older at different altitudes in Yunnan province: Protocol of a longitudinal cohort study.

Xingli Liu, Cunwen Ma, Shiping Wang, Zhengrong Liang, Juntao Yang, Jun Zhou, Yi Shu, Zhengying He, Jilong Zong, Lizhi Wu and 18 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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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

28 authors.

Xingli LiuFaculty of Life science and Technology, Kunming University of Science and Technology, Kunming, China.
Cunwen MaDepartment of Radiology, The People's Hospital of Wenshan Prefecture, Wenshan, China.
Shiping WangDepartment of Radiology, Anning First people's Hospital, Kunming University of Science and Technology, Anning, China.
Zhengrong LiangDepartment of Radiology, Qujing Second People's Hospital of Yunnan Province, Qujing, China.
Juntao YangDepartment of Radiology, Dali Bai Autonomous Prefecture People's Hospital, Dali, China.
Jun ZhouDepartment of Radiology, Xishuangbanna Dai Autonomous Prefecture People's Hospital, Jinghong, China.
Yi ShuDepartment of Radiology, Southern Central Hospital of Yunnan Province, Honghe, China.
Zhengying HeDepartment of Radiology, Diqing Tibetan Autonomous Prefecture People's Hospital, Xianggelila, China.
Jilong ZongDepartment of Radiology, The First People's Hospital of Zhaotong, Zhaotong, China.
Lizhi WuDepartment of Radiology, Hekou People's Hospital, Honghe, China.
Peiqian PengDepartment of Radiology, Nujiang People's Hospital, Nujiang, China.
Yi SuKey Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China.
Meng GaoDepartment of Radiology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Kaiming ShenDepartment of Radiology, The People's Hospital of Wenshan Prefecture, Wenshan, China.
Hong ZhaoDepartment of Radiology, Anning First people's Hospital, Kunming University of Science and Technology, Anning, China.
Jilu RuanDepartment of Radiology, Qujing Second People's Hospital of Yunnan Province, Qujing, China.
Shaoxuan JiDepartment of Radiology, Dali Bai Autonomous Prefecture People's Hospital, Dali, China.
Yunhui YangDepartment of Radiology, Xishuangbanna Dai Autonomous Prefecture People's Hospital, Jinghong, China.
Taisong TangDepartment of Radiology, Southern Central Hospital of Yunnan Province, Honghe, China.
Zongfa YangDepartment of Radiology, Diqing Tibetan Autonomous Prefecture People's Hospital, Xianggelila, China.
Guangyin LuoDepartment of Radiology, The First People's Hospital of Zhaotong, Zhaotong, China.
Meng ZengDepartment of Radiology, Hekou People's Hospital, Honghe, China.
Weiwan ZhangDepartment of Radiology, Nujiang People's Hospital, Nujiang, China.
Bo HeDepartment of Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Xiaoguang ChengDepartment of Radiology, Beijing Jishuitan Hospital, Beijing, China.
Gang WangDepartment of Radiology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Ling WangDepartment of Radiology, Beijing Jishuitan Hospital, Beijing, China.
Liang LyuFaculty of Life science and Technology, Kunming University of Science and Technology, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Musculoskeletal system gradually degenerates with aging, and a hypoxia environment at a high altitude may accelerate this process. However, the comprehensive effects of high-altitude environments on bones and muscles remain unclear. This study aims to compare the differences in bones and muscles at different altitudes, and to explore the mechanism and influencing factors of the high-altitude environment on the skeletal muscle system. Methods: This is a prospective, multicenter, cohort study, which will recruit a total of 4000 participants over 50 years from 12 research centers with different altitudes (50m~3500m). The study will consist of a baseline assessment and a 5-year follow-up. Participants will undergo assessments of demographic information, anthropomorphic measures, self-reported questionnaires, handgrip muscle strength assessment (HGS), short physical performance battery (SPPB), blood sample analysis, and imaging assessments (QCT and/or DXA, US) within a time frame of 3 days after inclusion. A 5-year follow-up will be conducted to evaluate the changes in muscle size, density, and fat infiltration in different muscles; the muscle function impairment; the decrease in BMD; and the osteoporotic fracture incidence. Statistical analyses will be used to compare the research results between different altitudes. Multiple linear, logistic regression and classification tree analyses will be conducted to calculate the effects of various factors (e.g., altitude, age, and physical activity) on the skeletal muscle system in a high-altitude environment. Finally, a provisional cut-off point for the diagnosis of sarcopenia in adults at different altitudes will be calculated. Ethics and dissemination: The study has been approved by the institutional research ethics committee of each study center (main center number: KHLL2021-KY056). Results will be disseminated through scientific conferences and peer-reviewed publications, as well as meetings with stakeholders. Clinical Trial registration number: http://www.chictr.org.cn/index.aspx, identifier ChiCTR2100052153.

Indexed as

OsteoporosisSarcopeniaAdultAgedAltitudeChinaCohort StudiesHand StrengthHumansLongitudinal StudiesMiddle AgedMulticenter Studies as TopicProspective StudiesResearch Designaltitudeselderlyosteoporosisprotocolsarcopenia

Identifiers

PMID36452328
PMCPMC9704050

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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.