Evidence map›Paper›PMID 17437668›Full record

ReviewCurrent rheumatology reports2007

Cost-effectiveness modeling research of pharmacologic therapy to prevent osteoporosis-related fractures.

John T Schousboe

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Cost-effectiveness of osteoporosis screening strategies for hip fracture prevention in older Chinese people: a decision tree modeling study in the Mr. OS and Ms. OS cohort in Hong Kong.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2018
    Article
  2. The role of previous falls in major osteoporotic fracture prediction in conjunction with FRAX in older Chinese men and women: the Mr. OS and Ms. OS cohort study in Hong Kong.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2018
    Article
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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.

John T SchousboePark Nicollet Osteoporosis Center, Park Nicollet Health Services, 3800 Park Nicollet Blvd., Minneapolis, MN 55416, USA. john.schousboe@parknicollet.com

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporotic fractures are common among postmenopausal women and elderly men, and they cause substantial direct medical costs and loss of quality of life. The potential costs of widespread intervention strategies to reduce the incidence of fractures are also quite high. Therefore, the cost-effectiveness of such interventions is highly significant to large-scale health insurers and healthcare systems. Most modeling studies to date have examined the cost-effectiveness of pharmacologic treatment for subsets of postmenopausal women selected on the basis of bone mineral density and/or prevalent vertebral fracture. They generally suggest that oral bisphosphonates and raloxifene are cost-effective therapies for these subsets. Increasingly, modeling studies of treatments for those selected on the basis of absolute fracture risk rather than bone density criteria are being done to establish absolute fracture risk thresholds at which various treatments are cost-effective.

Indexed as

Models, BiologicalModels, EconomicAgedBone DensityCost-Benefit AnalysisDrug TherapyFemaleFractures, BoneHumansMaleMarkov ChainsOsteoporosisQuality-Adjusted Life Years

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.