Evidence map›Paper›PMID 36120431›Full record

ReviewFrontiers in endocrinology2022

Fracture risk assessment in diabetes mellitus.

Weiwei Chen, Min Mao, Jin Fang, Yikai Xie, Yongjun Rui

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Risk factors for refracture or new vertebral compression fractures after percutaneous vertebroplasty: a systematic review and meta-analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Pentosidine as a biomarker for bone fragility: Molecular mechanisms, clinical relevance, and detection strategies.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2026
    Review
  7. Review
  8. Beneficial effects ofPharmaceutical biology · 2025
    Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Bone Loss in Diabetes Mellitus: Diaporosis.International journal of molecular sciences · 2024
    Review
  19. 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

5 authors at 2 institutions in 1 country.

Weiwei ChenDepartment of Endocrinology, Wuxi No.9 People's Hospital Affiliated to Soochow University, Wuxi, China.
Min MaoDepartment of Endocrinology, Wuxi No.9 People's Hospital Affiliated to Soochow University, Wuxi, China.
Jin FangDepartment of Endocrinology, Wuxi No.9 People's Hospital Affiliated to Soochow University, Wuxi, China.
Yikai XieDepartment of Endocrinology, Wuxi No.9 People's Hospital Affiliated to Soochow University, Wuxi, China.
Yongjun RuiDepartment of Orthopeadics Surgery, Wuxi No.9 People's Hospital Affiliated to Soochow University, Wuxi, China.
Wuxi No.2 People's Hospital · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growing evidence suggests that diabetes mellitus is associated with an increased risk of fracture. Bone intrinsic factors (such as accumulation of glycation end products, low bone turnover, and bone microstructural changes) and extrinsic factors (such as hypoglycemia caused by treatment, diabetes peripheral neuropathy, muscle weakness, visual impairment, and some hypoglycemic agents affecting bone metabolism) probably contribute to damage of bone strength and the increased risk of fragility fracture. Traditionally, bone mineral density (BMD) measured by dual x-ray absorptiometry (DXA) is considered to be the gold standard for assessing osteoporosis. However, it cannot fully capture the changes in bone strength and often underestimates the risk of fracture in diabetes. The fracture risk assessment tool is easy to operate, giving it a certain edge in assessing fracture risk in diabetes. However, some parameters need to be regulated or replaced to improve the sensitivity of the tool. Trabecular bone score, a noninvasive tool, indirectly evaluates bone microstructure by analyzing the texture sparsity of trabecular bone, which is based on the pixel gray level of DXA. Trabecular bone score combined with BMD can effectively improve the prediction ability of fracture risk. Quantitative computed tomography is another noninvasive examination of bone microstructure. High-resolution peripheral quantitative computed tomography can measure volume bone mineral density. Quantitative computed tomography combined with microstructure finite element analysis can evaluate the mechanical properties of bones. Considering the invasive nature, the use of microindentation and histomorphometry is limited in clinical settings. Some studies found that the changes in bone turnover markers in diabetes might be associated with fracture risk, but further studies are needed to confirm this. This review focused on summarizing the current development of these assessment tools in diabetes so as to provide references for clinical practice. Moreover, these tools can reduce the occurrence of fragility fractures in diabetes through early detection and intervention.

Indexed as

Diabetes MellitusFractures, BoneOsteoporosisAbsorptiometry, PhotonBone DensityHumansHypoglycemic AgentsRisk AssessmentHypoglycemic Agentsbone mineral densitybone turnover markersdiabetes mellitusmicroindentationosteoporotic fracturesquantitative computed tomographytrabecular bone score

Identifiers

PMID36120431
PMCPMC9479173
OpenAlexW4294219727

What Socratic 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 Socratic graph.