SynthesisClinical and experimental medicine2026
Efficacy and safety of denosumab biosimilars in the treatment of postmenopausal osteoporosis: A systematic review of randomized clinical trials.
Synthesis in Clinical and experimental medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Denosumab biosimilars were developed to provide cost-effective alternatives to the reference monoclonal antibody for postmenopausal osteoporosis (PMO). This review assessed their efficacy, safety, and immunogenicity in the treatment of PMO. A systematic search of PubMed/Medline, Ovid-Embase, and Web of Science (to April 2025) identified randomized controlled trials comparing denosumab biosimilars with either the originator (Prolia
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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.