Evidence map›Paper›PMID 32894000›Full record

ArticleJournal of cachexia, sarcopenia and muscle2020

Muscle density discriminates hip fracture better than computed tomography X-ray absorptiometry hip areal bone mineral density.

Ling Wang, Lu Yin, Yue Zhao, Yongbin Su, Wei Sun, Yandong Liu, Minghui Yang, Aihong Yu, Glen Mervyn Blake, Xiaoguang Cheng and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Improved prediction of hip fracture using multi-faceted biomechanical computed tomography.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Myosteatosis: diagnostic significance and assessment by imaging approaches.Quantitative imaging in medicine and surgery · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Sarcopenia definitions and their association with fracture risk in older Swedish women.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024
    Article
  20. 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

13 authors at 6 institutions in 5 countries.

Ling WangDepartment of Radiology, Beijing Jishuitan Hospital, Beijing, China.
Lu YinMedical Research & Biometrics Center, National Center for Cardiovascular Disease, Beijing, China.
Yue ZhaoDepartment of Radiology, Beijing Jishuitan Hospital, Beijing, China.
Yongbin SuDepartment of Radiology, Beijing Jishuitan Hospital, Beijing, China.
Wei SunXinjiekou Community Health Service Center, Beijing, China.
Yandong LiuDepartment of Radiology, Beijing Jishuitan Hospital, Beijing, China.
Minghui YangDepartment of Traumatic Orthopedics, Beijing Jishuitan Hospital, Beijing, China.
Aihong YuDepartment of Radiology, Beijing Jishuitan Hospital, Beijing, China.
Glen Mervyn BlakeSchool of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, London, UK.
Xiaoguang ChengDepartment of Radiology, Beijing Jishuitan Hospital, Beijing, China.ORCID 0000-0002-4596-8248
Xinbao WuDepartment of Traumatic Orthopedics, Beijing Jishuitan Hospital, Beijing, China.
Annegreet VeldhuisLeiden University Medical Center, Department of Internal Medicine, Division of Endocrinology, Center for Bone Quality, Leiden University Medical Center, Leiden, The Netherlands.
Klaus EngelkeDepartment of Medicine 3, FAU University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Peking University · CNCommunity Health Center · USLeiden University Medical Center · NLNational Clinical Research Center for Digestive Diseases · CNSt Thomas' Hospital · GBUniversitätsklinikum Erlangen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMuscle weakness is a key factor in the increase risk of falls and might also play a significant role in the increase of risk of hip fracture. Computed tomography-measured muscle size and muscle density are well-established imaging biomarkers used in studies of physical function, frailty or cancer, but limited to hip fracture. In particular, it is warranted to have a better understanding of the performance of muscle size and density in the discrimination of acute hip fractures. We also aim to determine age-related differences of muscle size and density in healthy controls and hip fracture patients.

methodsFour hundred thirty-eight low-energy acute hip fracture cases and 316 healthy controls from the China Action on Spine and Hip Status study were included in the study. Muscle cross-sectional area and density were measured for the gluteus maximus and gluteus medius and minimus. Areal bone mineral density (aBMD) of the femoral neck and total hip was measured. Using propensity score matching, we generated three samples with cases and controls matched for age, body mass index, and gender: femoral neck fracture (FNF), intertrochanteric fracture (ITF), and any hip fracture vs. controls, respectively.

resultsHandgrip strength, gluteus muscle area and density, and bone parameters of the matched hip fracture groups were lower than those of the correspondence control groups, respectively (P < 0.05). The univariate analysis showed that associations of aBMD with FNF and with ITF were significantly weaker than associations between fracture and muscle parameters. Gluteus medius and minimus muscle density showed the highest areas under the curve (AUC) with FNF (0.88, 95% confidence interval, 0.85-0.92) and trochanteric fracture (0.95, 95% confidence interval, 0.92-0.97). The model including all muscle and bone parameters provided the highest AUC (FNF: AUC 0.912; ITF: AUC 0.958), and AUC results of another selected model without muscle density showed that association with fracture significantly dropped (FNF: AUC 0.755; ITF: AUC 0.858). Separate results for the two age groups younger and older than 70 years showed no age-related significant differences in discriminate models.

conclusionsMuscle density performs better than aBMD from hip computed tomography X-ray absorptiometry and muscle size in discrimination of hip fracture. Combination of aBMD and muscle density provided the best discrimination. The integration of muscle assessments may trigger a paradigm shift in hip fracture prediction. Gluteus muscle density should also be evaluated as treatment outcome.

Indexed as

Bone DensityHip FracturesAbsorptiometry, PhotonAgedAged, 80 and overFemaleFemur NeckHand StrengthHumansMaleMiddle AgedMusclesTomography, X-Ray ComputedAcute hip fractureBone mineral densityMuscle densityMuscle size

Identifiers

PMID32894000
PMCPMC7749550
OpenAlexW3084018148

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.