SynthesisJournal of bone and mineral metabolism2020
Meta-analysis for the efficacy of bisphosphonates on hip fracture prevention.
Synthesis in Journal of bone and mineral metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- The effectiveness of ibandronate in reducing the risk of nonvertebral fractures in women with osteoporosis: systematic review and meta-analysis of observational studies.International journal of clinical pharmacy · 2024Pooled it
- A Review of Methods for Research Synthesis.Statistics in medicine · 2025Article
- In Silico Clinical Trial for Osteoporosis Treatments to Prevent Hip Fractures: Simulation of the Placebo Arm.Annals of biomedical engineering · 2025Article
- CORR Insights®: Can Bisphosphonate Therapy Reduce Overall Mortality in Patients With Osteoporosis? A Meta-analysis of Randomized Controlled Trials.Clinical orthopaedics and related research · 2025Article
- Single pharmacy governed denosumab home administration: optimal adherence by means of a fracture liaison service (FLS) and home care collaboration.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to investigate the effect of bisphosphonates on preventing osteoporotic hip fracture in patients with or without prior major osteoporotic fracture. Randomized controlled trials (RCTs) and observational studies (OSs) based on electronic health records were used to assess bisphosphonate efficacy and were searched using PubMed, Scopus, and the Cochrane Library databases. Eight RCT studies and 14 OSs were extracted from the studies and quantitatively combined by random-effects meta-analysis. The odds ratio (OR) for all hip fractures in RCTs of 0.66, with a 95% confidence interval (CI) of 0.55-0.79, was lower than that in the OSs (OR 0.83; CI 0.74-0.94). The OR in patients with prior fracture was significantly reduced by bisphosphonates in both RCTs and OSs. Conversely, significant fracture reduction was not apparent in patients without prior fracture. A moderate relationship between prior major fracture rates and OR in hip fractures was defined. In patients with an average age of over 80 years, similar results were confirmed. In this meta-analysis, the efficacy of bisphosphonates was significant in patients with prior major fracture, recommending to prescribe for such patients. Their effect in patients without prior fracture, in contrast, remains unclear.
Indexed as
Identifiers
What OpenQuestion holds
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.