Evidence map›Paper›PMID 36419004›Full record

ArticleBMC geriatrics2022

Determination of skeletal muscle mass by aspartate aminotransferase / alanine aminotransferase ratio, insulin and FSH in Chinese women with sarcopenia.

Mengting Yin, He Zhang, Qianhui Liu, Fei Ding, Lisha Hou, Yiping Deng, Tao Cui, Yixian Han, Yijun Chen, Chen Huang and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
2.1field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
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

12 authors at 3 institutions in 1 country.

Mengting Yin *Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
He Zhang *Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Qianhui LiuDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Fei DingDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Lisha HouDepartment of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Yiping DengDepartment of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Tao CuiDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Yixian HanDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Yijun ChenDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Chen HuangDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Jirong YueDepartment of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China. yuejirong11@hotmail.com.
Yong HeDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China. heyong1011@scu.edu.cn.
Sichuan University · CNWest China Hospital of Sichuan University · CNWest China Second University Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia is an age-related skeletal muscle disorder that involves a loss of muscle mass or strength and physiological function. Skeletal muscle deteriorates in both quantity and quality. The endocrine system is an important regulator of muscle metabolism. Therefore, we aimed to explore the relationship between biochemical markers and muscle mass in sarcopenia.

methodsWe used the AWGS 2014 as the diagnostic criteria for sarcopenia, considering both the loss in muscle mass, muscle strength and physical performance. A total of 2837 elderly female participants over 50 years of age from the West China Health and Aging Trend (WCHAT) study were included. Insulin, glucose, 25(OH)VD, procalcitonin, alanine aminotransferase, aspartate aminotransferase, total protein, prealbumin, albumin, thyroid-stimulating hormone, free triiodothyronine, free tetraiodothyronine, triglycerides, cholesterol, high-density lipoprotein, very low-density lipoprotein, cortisol, and follicle-stimulating hormone were measured. Based on the findings of univariate analysis, multivariate regression and receiver operating characteristic (ROC) curves were established.

resultsParticipants with sarcopenia had significantly lower free triiodothyronine, insulin, total protein, albumin, prealbumin, albumin/prealbumin ratio (A/G), alanine aminotransferase, triglycerides, and very low-density lipoprotein concentrations (P < 0.05). Compared with those without sarcopenia, those with sarcopenia had significantly higher free tetraiodothyronine, cortisol, follicle-stimulating hormone (FSH), aspartate aminotransferase/alanine aminotransferase ratio (AST/ALT), and high-density lipoprotein concentrations (P < 0.05). Insulin (OR = 0.854), FSH (OR = 1.016), and the AST/ALT ratio (OR = 1.819) were independent risk factors for low muscle mass (P < 0.001). The AUC of insulin was the highest, followed by the AST/ALT ratio and FSH (0.691, 0.671, and 0.634, respectively), and the AUC of the mixture of the above three reached 0.736.

conclusionIn this cross-sectional study of elderly Chinese females aged over 50 years from the WCHAT, FSH, insulin, and AST/ALT ratio were associated with sarcopenia and risk factors for low muscle mass.

Indexed as

InsulinSarcopeniaAgedAlanine TransaminaseAlbuminsAspartate AminotransferasesCross-Sectional StudiesFemaleFollicle Stimulating HormoneHumansHydrocortisoneLipoproteins, HDLLipoproteins, LDLMiddle AgedMuscle, SkeletalPrealbuminAlanine TransaminaseAlbuminsAspartate AminotransferasesFollicle Stimulating HormoneHydrocortisoneInsulinLipoproteins, HDLLipoproteins, LDLPrealbuminTriglyceridesTriiodothyronineAST/ALT ratioFSHInsulinMuscle massSarcopenia

Identifiers

PMID36419004
PMCPMC9682777
OpenAlexW4309746928

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.