Evidence map›Paper›PMID 28181064›Full record

ReviewCurrent osteoporosis reports2017

Sex-Differences in Skeletal Growth and Aging.

Jeri W Nieves

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current osteoporosis reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Sex-Based Bias in Artificial Intelligence-Based Segmentation Models in Clinical Oncology.Clinical oncology (Royal College of Radiologists (Great Britain)) · 2025
    Review
  10. Personalized Joint Replacement: Landmark-Free Morphometric Analysis of Distal Radii.Journal of functional morphology and kinesiology · 2025
    Article
  11. Article
  12. Article
  13. Quantitative imaging in medicine and surgery · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

1 author.

Jeri W NievesClinical Research Center, Helen Hayes, Route 9W, West Haverstraw, 10993, USA. jwn5@cumc.columbia.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThere have been numerous published reports describing skeletal differences between males and females. The goal of this report is to describe recent findings to help elucidate remaining questions. RECENT

findingsIt is known that even in youth, there are sex differences in skeletal health. One recent report suggests these differences are evident at 6 years of age. With the availability of newer imaging techniques, specifically HRpQCT and microCT-3D, micro-architectural differences related to sex-differences have been studied. This has highlighted the importance of cortical porosity in describing possible sex differences in fracture risk. We have a better understanding of skeletal microarchitecture that highlights sex differences in both growth and aging that may relate to fracture risk, although more longitudinal studies are needed. Sex differences in microarchitecture, particularly cortical porosity may also be important in understanding any, as of yet unknown, sex differences in fracture reduction with treatment.

Indexed as

AgingBone and BonesBone DensityBone DevelopmentFemaleFractures, BoneHumansImaging, Three-DimensionalMaleOrgan SizeOsteoporosisPorosityRisk FactorsSex FactorsTomography, X-Ray ComputedX-Ray MicrotomographyCortical porosityFracture riskHRpQCTMicroarchitectureSex-differences

Identifiers

What OpenQuestion holds

Textmetadata
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.