Evidence map›Paper›PMID 26286594›Full record

ArticleBMC musculoskeletal disorders2015

Relationship of anabolic and catabolic biomarkers with muscle strength and physical performance in older adults: a population-based cross-sectional study.

Yongxia Meng, Hongmei Wu, Yi Yang, Huanmin Du, Yang Xia, Xiaoyan Guo, Xing Liu, Chunlei Li, Kaijun Niu

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Interaction Between Vitamin D and Interleukin 6 on Slow Gait Speed: 6-Year Follow-up Data of Older Adults From InCHIANTI.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Observational
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
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

9 authors at 3 institutions in 2 countries.

Yongxia MengChinese People's Liberation Army 254 Hospital, Tianjin, China. myx254@sina.com.
Hongmei WuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China. wuhongmei2009me@163.com.
Yi YangTianjin Centers for Disease Control and Prevention, Tianjin, China. 928049234@qq.com.
Huanmin DuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China. dhm0605@163.com.
Yang XiaNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China. xytmu507@126.com.
Xiaoyan GuoNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China. gxytjmu507@163.com.
Xing LiuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China. lxtjmu507@163.com.
Chunlei LiNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China. lcltjmu507@163.com.
Kaijun NiuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China. nkj0809@gmail.com.
Tianjin Medical University · CNCenters for Disease Control and Prevention · USChinese People’s Liberation Army 263 hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have found inflammation, growth factors, and androgen signaling pathways all contribute to sarcopenia. However, few studies simultaneously have investigated the association between these potential risk factors and sarcopenia among older people. The aim of the study was to investigate whether elevated levels of inflammatory cytokines combined with low levels of anabolic hormone have a synergy effect on muscle strength and functional decline in older people.

methodsWe designed a cross-sectional study of 1,131 subjects aged 60 years and older. Concentrations of serum C-reactive protein, insulin-like growth factor 1 and dehydroepiandrosteronesulphate were assessed using chemiluminescent immunoassays. Handgrip strength was measured using a dynamometer, and physical performance was assessed using a four-meter gait speed and Timed Up and Go test. We defined poor physical performance as a 4-m gait speed <0.8 m/s or Timed Up and Go test ≥13.5 s.

resultsAfter adjustment for potential confounding factors, in multiple linear regression analysis, C-reactive protein levels are inversely related to handgrip strength (P <0.01), and in multiple logistic regression analysis, C-reactive protein levels are inversely related to poor physical performance (P for trend <0.05) in males, but not in females. After combining three biomarkers, no significant results were observed between biomarker scores and muscle strength or physical performance.

conclusionsIn older males, higher serum C-reactive protein levels, but not insulin-like growth factor 1 and dehydroepiandrosteronesulphate levels, are independently related to lower muscle strength and poor physical performance. In this study we did not observe that a combination of higher catabolic biomarkers and lower anabolic biomarkers were better predictors for muscle strength and physical performance.

Indexed as

Population SurveillanceAgedBiomarkersCross-Sectional StudiesFemaleHumansInflammation MediatorsMaleMetabolismMiddle AgedMuscle StrengthPhysical FitnessSarcopeniaBiomarkersInflammation Mediators

Identifiers

PMID26286594
PMCPMC4545782
OpenAlexW1939177220

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.