Evidence map›Paper›PMID 35866082›Full record

ArticleFrontiers in nutrition2022

Optimal Cutoffs for the Diagnosis of Sarcopenia in Older Chinese Adults.

Sheng Ge, Qin Du, Xiaohui Feng, Yan Liu, Hui Wang, Shan Hai, Xiaodong Shi, Wenguang Sun, Aiqin Ma, Tingting Lv and 6 more

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

16 authors.

Sheng GeClinical Nutrition Department, Sixth People's Hospital Affiliated Shanghai Jiao Tong University, Shanghai, China.
Qin DuDepartment of Clinical Nutrition Science, Abbott Nutrition Research and Development, Shanghai, China.
Xiaohui FengClinical Nutrition Department, Sixth People's Hospital Affiliated Shanghai Jiao Tong University, Shanghai, China.
Yan LiuPeking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hui WangThe Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Shan HaiThe Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Xiaodong ShiPeking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Wenguang SunClinical Nutrition Department, Sixth People's Hospital Affiliated Shanghai Jiao Tong University, Shanghai, China.
Aiqin MaClinical Nutrition Department, Sixth People's Hospital Affiliated Shanghai Jiao Tong University, Shanghai, China.
Tingting LvClinical Nutrition Department, Sixth People's Hospital Affiliated Shanghai Jiao Tong University, Shanghai, China.
Haili LiuClinical Nutrition Department, Sixth People's Hospital Affiliated Shanghai Jiao Tong University, Shanghai, China.
Venkata Saibaba PinupaCognizant Technology Solutions, Hyderabad, India.
Menaka YalawarCognizant Technology Solutions, Bangalore, India.
Geraldine E BaggsDepartment of Statistical Sciences, Abbott Nutrition Research and Development, Columbus, OH, United States.
Birong DongThe Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Wei ChenPeking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The optimal criteria for sarcopenia in the older Chinese population have not been defined. Consequently, this study aims to determine the optimal cutoffs of grip strength, appendicular skeletal muscle index (ASMI) using bioelectrical impedance analysis (BIA), and gait speed, comprising the best definition of sarcopenia for older Chinese populations. Methods: A total of 2,821 (1,398 men and 1,423 women) community-dwelling older people (≥60 years) and 409 (205 men and 204 women) young healthy adults (25-34 years) were recruited from three big cities in China. Besides gait speed and grip strength, we examined ASMI by BIA and dual-energy X-ray absorptiometry (DXA), comprising the three components of sarcopenia. DXA classification for low ASMI, 20th percentile among older adults in the study sample, was found to be best compared with the other existing classification, 1 SD and 2 SD below the mean for the young population, and was used as the gold standard to determine the optimal cutoffs of BIA using receiver operating characteristic curves (ROC). The cutoffs of handgrip strength and gait speed were determined following the same rule. Results: Using gender-specific 20th percentiles of DXA (6.53 kg/m Conclusion: Notably, 7.05 kg/m

Indexed as

bioelectrical impedance analysisChinesecutoff thresholdsdual-energy X-ray absorptiometryolder peoplesarcopenia

Identifiers

PMID35866082
PMCPMC9294727

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.