Evidence map›Paper›PMID 26815042›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2016

Screening for osteoporosis in Chinese post-menopausal women: a health economic modelling study.

L Si, T M Winzenberg, M Chen, Q Jiang, A Neil, A J Palmer

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Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Predicting the intervention threshold for initiating osteoporosis treatment among postmenopausal women in China: a cost-effectiveness analysis based on real-world data.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
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  17. 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
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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

6 authors.

L SiMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia.
T M WinzenbergMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia.
M ChenSchool of Health Policy & Management, Nanjing Medical University, 210029, Nanjing, China.
Q JiangSchool of Health Administration, Anhui Medical University, Meishanlu 81, 230032, Hefei, Anhui, China. jiangqicheng.ahmu@gmail.com.
A NeilMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia.
A J PalmerMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledScreening and appropriate treatment for osteoporosis has been proven to be cost-effective in many populations; however, it is not clear in the Chinese population. Simulations using a validated health economics model suggest that screening for osteoporosis in Chinese women is cost-effective and may even be cost-saving in Chinese post-menopausal women.

introductionThis study aimed at determining the cost-effectiveness of osteoporosis screening strategies in post-menopausal Chinese women.

methodsA validated state-transition microsimulation model with a lifetime horizon was used to evaluate the cost-effectiveness of different screening strategies with treatment of alendronate compared with current osteoporosis management in China. Osteoporosis screening strategies assessed were (1) universal screening with dual-energy X-ray absorptiometry (DXA) alone; (2) Osteoporosis Self-Assessment Tool for Asians (OSTA) + DXA; and (3) quantitative ultrasound (QUS) + DXA with rescreening at 2, 5 or 10-year intervals for patients screened negative by DXA. The study was performed from the Chinese healthcare payer's perspective. All model inputs were retrieved from publically available literature. Uncertainties were addressed by one-way and probabilistic sensitivity analysis.

resultsScreening strategies all improved clinical outcomes at increased costs, and each were cost-effective compared with no screening in women aged 55 years given the Chinese willingness-to-pay threshold of USD 20,000 per quality-adjusted life year (QALY) gained. Pre-screening with QUS and subsequent DXA screening if the QUS T-score ≤ -0.5 with a 2-year rescreening interval was the most cost-effective strategy with the highest probability of being cost-effective across all non-dominated strategies. Screening strategies were cost-saving if screenings were initiated from age 65 years. One-way sensitivity analyses indicated that the results were robust.

conclusionsPre-screening with QUS with subsequent DXA screening if the QUS T-score ≤ -0.5 with a 2-year rescreening interval in the Chinese women starting at age 55 is the most cost-effective. In addition, screening and treatment strategies are cost-saving if the screening initiation age is greater than 65 years.

Indexed as

Cost-Benefit AnalysisAbsorptiometry, PhotonAgedAged, 80 and overBone DensityChinaFemaleFractures, BoneHumansMass ScreeningMiddle AgedModels, EconomicOsteoporosis, PostmenopausalQuality-Adjusted Life YearsChineseHealth economicsOsteoporosisPost-menopausal womenScreening

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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.