Is the QfractureScore effective for predicting the risk of osteoporotic fracture?

From: BMJ

Journal rating:
rating: 99%
Study Quality:
rating: 55%

Overall Reliability

Article Quality:
rating: 10%
rating: 100%


  • 1,183,663 women and 1,174,232 men aged 30-85 years


  • Data from 357 general practices to develop the scores and from 178 practices to validate the scores.


  • The algorithm can predict risk of fracture in primary care populations in the UK without laboratory measurements and is therefore suitable for use in both clinical settings and for self assessment (
  • QFractureScores could be used to identify patients at high risk of fracture who might benefit from interventions to reduce their risk.


  • Yes (without confidence)


Editors Notes

  • The validation statistics, especially for the hip fracture algorithm, suggest that the QFractureScores ( are likely to be effective at identifying patients at high risk of fracture within primary care in the UK