ArticleJournal of bone metabolism2024
Publication Trends in Osteoporosis Treatment: A 20-Year Bibliometric Analysis.
Article in Journal of bone metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Trends and collaborations in discoid lupus erythematosus research: a bibliometric analysis from 2010 to 2024.Frontiers in medicine · 2025Pooled it
- Mapping a Decade of Osteoporosis and Fracture Research: A Bibliometric Analysis (2015-2025).Journal of bone metabolism · 2026Article
- Evidence architecture of glaucoma-related biomaterials reveals an uneven transition toward smart materials, additive manufacturing, and functional tissue engineering.Frontiers in bioengineering and biotechnology · 2026Article
- Global knowledge mapping of receptor activator of nuclear factor kappa-B ligand in osteoporotic fractures: a bibliometric analysis (2001-2024).Frontiers in molecular biosciences · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOsteoporosis prevalence continues to escalate with the growth of the older adult population. In this study, we aimed to investigate the profile of osteoporosis treatment-related research articles published in the past 20 years using bibliometric analysis.
methodsWe analyzed all osteoporosis treatment-related articles published between 2001 and 2020 in the Web of Science (WoS) database using bibliometric methods. In the Title search section in WoS, we searched the documents using "osteoporosis treatment"-related keywords. We used the VOSviewer software to construct the bibliometric maps of keyword co-occurrences.
resultsOur search yielded 29,738 publications, 21,556 (72.5%) were original articles and 4,529 (15.2%) were review articles and review articles (4,529). We noticed a steady increase in the publication numbers from 2001 to 2020. The overall scientific publication number in WoS increased 3.5-fold, with the five most productive countries being the USA, China, Germany, the United Kingdom, and Japan. The largest contributor was the University of California system. The most productive journals were Osteoporosis International (1,679, 6.4%), Bone (832, 3.2%), and the Journal of Bone and Mineral Research (727, 2.8%). We observed increasing trends in the appearance of denosumab and teriparatide during the last two decades. In our keyword co-occurrence analysis, we constructed four keyword clusters using VOSviewer.
conclusionsIn this study, we provided a gross overview of the visibility and productivity of research studies in osteoporosis treatment. Substantial changes have occurred in osteoporosis treatment over the last 20 years. The effector mechanism of anti-osteoporosis medications could be future hot spots in osteoporosis research. We believe that our study is a valuable guide for clinicians related to the global outputs of osteoporosis treatment.
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Registered trials
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.