Evidence map›Paper›PMID 34338927›Full record

ArticleArchives of osteoporosis2021

Estimating the future clinical and economic benefits of improving osteoporosis diagnosis and treatment among women in China: a simulation projection model from 2020 to 2040.

Lijia Cui, Micah Jackson, Zachary Wessler, Matthew Gitlin, Weibo Xia

Abstract read
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In one paragraph

Article in Archives of osteoporosis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% of its field
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Deep learning model for osteoporosis screening on chest CT with low tube voltage.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  4. Review
  5. Observational
  6. Health education using customized aids for patients with osteoporotic vertebral fractures- a non-randomized controlled study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
    Article
  7. Article
  8. Article
  9. Trends in screening and treatment of osteoporosis after periprosthetic fractures from 2010 to 2020.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
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  12. Review
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  19. Development and validation of common data model-based fracture prediction model using machine learning algorithm.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2023
    Article
  20. Article
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

5 authors at 2 institutions in 2 countries.

Lijia CuiDepartment of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Micah JacksonBluePath Solutions, Inc., Los Angeles, CA, USA.
Zachary WesslerAmgen, Inc., Thousand Oaks, CA, USA. zwessler@amgen.com.
Matthew GitlinBluePath Solutions, Inc., Los Angeles, CA, USA.
Weibo XiaDepartment of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. xiaweibo8301@163.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNAmgen (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Annual osteoporotic fractures is projected to increase by 135% from 6.9 M (2020) to 16.2 M (2040), increasing the economic burden by 121% from $29.9B (2020) to $65.9B (2040).

introductionGlobally, aging populations drive significant increases in osteoporosis prevalence. In China, the number of women aged ≥ 65 years is expected to more than double from 2020 (91.5 M) to 2040 (183.6 M). Using a microsimulation model, impact of increased diagnosis and treatment of postmenopausal women (PMW) with osteoporosis on anticipated reduction in fractures and associated costs in China from 2020 to 2040 was projected.

methodsA microsimulation model was developed to project annual incidence and costs of osteoporotic fractures among PMW in China from 2020 to 2040. Fracture risk was estimated using the simplified Fracture Risk Assessment Tool (FRAX). Fractures estimates were based on annualized FRAX risk and impact of treatment. Published literature informed inputs for direct and indirect fracture costs, DXA screening costs, and treatment costs and efficacy. China's current screening and treatment rates were compared against 50% increases to (i) case finding (screening rate and subsequent treatment rate) and (ii) treatment rate among those at highest fracture risk.

resultsFrom 2020 to 2040, 241.7 M osteoporotic fractures are projected to cost $997B. Increased treatment scenario prevented 24.6 M fractures and saved $56B. Increased case finding scenario prevented 26 M fractures and saved $61.7B.

conclusionOsteoporosis underdiagnosis and undertreatment among the aging Chinese population will considerably burden patients, caregivers, and society. Policy changes to increase screening and treatment rates may result in significant cost savings and clinical benefits.

Indexed as

Bone Density Conservation AgentsOsteoporosisOsteoporotic FracturesChinaFemaleHumansRisk AssessmentBone Density Conservation AgentsDiagnosisDisease burdenFracture preventionHealth economicsOsteoporosisScreening

Identifiers

PMID34338927
OpenAlexW4210290798

What OpenQuestion holds

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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.