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Anti-osteoporosis drug use: too little, too much, or just right? The HUNT study, Norway

Overview of attention for article published in Osteoporosis International, May 2018
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Title
Anti-osteoporosis drug use: too little, too much, or just right? The HUNT study, Norway
Published in
Osteoporosis International, May 2018
DOI 10.1007/s00198-018-4560-3
Pubmed ID
Authors

M. Hoff, S. Skurtveit, H.E. Meyer, A. Langhammer, A.J. Søgaard, U. Syversen, E. Skovlund, B. Abrahamsen, S. Forsmo, B. Schei

Abstract

Use of anti-osteoporotic drugs (AODs) was examined in a Norwegian population 50-85 years. Among them with Fracture Risk Assessment Tool (FRAX) score for major osteoporotic fracture ≥ 20, 25% of the women and 17% of the men received AODs. The strongest predictors for AODs were high age in women and use of glucocorticoids among men. To examine the use of anti-osteoporotic drugs (AODs) and to identify predictors for prescriptions. Data were obtained from the Nord-Trøndelag Health Study (HUNT3) performed in 2006-2008 and the Norwegian Prescription Database, including 15,075 women and 13,386 men aged 50-85 years. Bone mineral density (BMD) in the femoral neck was measured in a subgroup of 4538 women and 2322 men. High fracture risk was defined as a FRAX score for major osteoporotic fracture (MOF) ≥ 20%; in the subgroup with BMD, high risk was in addition defined as FRAXMOF ≥ 20% or T-score ≤ - 2.5. Hazard ratios (HRs) for predictors of incident use of AODs within 2 years after HUNT3 were estimated by Cox' proportional hazards model. Among individuals with FRAX MOF ≥ 20%, 25% of the women and 17% of the men were treated with AODs. Among those with FRAX MOF < 20%, 3% and 1% were treated, respectively. In the subgroup with BMD measurement, 24% of the women and 16% of the men at high risk of fractures were treated, compared to 3 and 1% in women and men not fulfilling the criteria. In women, high age was the strongest predictor for treatment (HR 3.84: 95% confidence interval 2.81-5.24), followed by use of glucocorticoids (GCs) (2.68:1.84-3.89). In men, predictors were use of GCs (5.28: 2.70-10.35) followed by multimorbidity (3.16:1.31-7.63). In the subgroup with BMD, T-score ≤ - 2.5 was the strongest predictor (women 3.98:2.67-5.89; men 13.31:6.17-28.74). This study suggests an undertreatment of AODs in individuals at high risk of fracture.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 14%
Student > Ph. D. Student 3 14%
Lecturer 2 9%
Other 2 9%
Student > Doctoral Student 1 5%
Other 5 23%
Unknown 6 27%
Readers by discipline Count As %
Medicine and Dentistry 8 36%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Immunology and Microbiology 1 5%
Nursing and Health Professions 1 5%
Other 2 9%
Unknown 8 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 May 2018.
All research outputs
#15,330,390
of 23,577,654 outputs
Outputs from Osteoporosis International
#2,318
of 3,710 outputs
Outputs of similar age
#199,135
of 329,385 outputs
Outputs of similar age from Osteoporosis International
#37
of 49 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,710 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,385 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.