Evidence map›Paper›PMID 31653213›Full record

ArticleBMC endocrine disorders2019

Sex differences in the prevalence and adverse outcomes of sarcopenia and sarcopenic obesity in community dwelling elderly in East China using the AWGS criteria.

Yanping Du, Xiaodong Wang, Hua Xie, Songbai Zheng, Xiaoqing Wu, Xiaoying Zhu, Xuemei Zhang, Sihong Xue, Huilin Li, Wei Hong and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC endocrine disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 13 pooled it
–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

99 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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39 more citing papers are in PubMed but not listed here.

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

14 authors.

Yanping DuDepartment of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040, China.
Xiaodong WangThe Zhoujiaqiao Community Health Service Center, Shanghai, China.
Hua XieNutrition Department, Fudan University affiliated Huadong Hospital, Shanghai, China, 221 West Yan An Road, Shanghai, 200040, China.
Songbai ZhengDepartment of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040, China.
Xiaoqing WuDepartment of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040, China.
Xiaoying ZhuDepartment of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040, China.
Xuemei ZhangDepartment of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040, China.
Sihong XueDepartment of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040, China.
Huilin LiDepartment of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040, China.
Wei HongDepartment of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040, China.
Wenjing TangDepartment of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040, China.
Minmin ChenDepartment of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040, China.
Qun ChengDepartment of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040, China. quncheng2016@163.com.ORCID http://orcid.org/0000-0002-3827-386X
Jianqin SunNutrition Department, Fudan University affiliated Huadong Hospital, Shanghai, China, 221 West Yan An Road, Shanghai, 200040, China. jianqins@163.com.

Funding

Foundation of Shanghai Municipal Commission of Health and Family Planning 201740028Foundation of Shanghai Municipal Commission of Health and Family Planning 201840176Natural Science Foundation of Shanghai 16411954600Shanghai Hospital Development Center SHDC12016201Shanghai Key Laboratory of Clinical Geriatric Medicine 13dz2260700
6 · The paper itself

Abstract

backgroundSarcopenia and sarcopenic obesity (SO) have a greater impact on the elderly. This study aimed to explore whether there were sex differences in the prevalence and adverse outcomes of sarcopenia and SO in community-dwelling elderly individuals in East China.

methodsThis was a cross-sectional study that enrolled 213 males and 418 females aged > 65 years. Demographic characteristics, body composition, hand grip, gait speed, and indices of glucose and lipid metabolism were collected. Sarcopenia and SO were diagnosed using the Asian Working Group for Sarcopenia criteria.

results(1) The prevalence of sarcopenia was 19.2% in males and 8.6% in females. The prevalence of SO was 7.0% in males and 2.4% in females. (2) In males, the odds ratios (ORs) of osteoporosis and dyslipidemia in the SO group were 4.21-fold and 4.15-fold higher than those in the normal group, respectively. In females, the ORs of osteoporosis and hyperglycemia in the SO group were 1.12-fold and 4.21-fold higher than those in the normal group.

conclusionsMales were more likely to be sarcopenic and to have SO than females using the AWGS criteria. Females with SO were more likely to have higher blood glucose, whereas males with SO were more likely to have osteoporosis and dyslipidemia.

Indexed as

Independent LivingAgedAged, 80 and overBody Mass IndexChinaCross-Sectional StudiesDyslipidemiasFemaleFollow-Up StudiesHand StrengthHumansMaleObesityOsteoporosisPrevalencePrognosisGenderObesityOutcomePrevalenceSarcopeniaSex

Identifiers

PMID31653213
PMCPMC6814981

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.