ArticleBMC geriatrics2026
Association of benzodiazepine and opioid use with hip fracture treated with arthroplasty: a nationwide case-control study.
Article in BMC geriatrics, 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.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundDespite safety warnings, the use of benzodiazepines and opioids is increasing among community-dwelling older adults. We investigated whether these medications, individually and in combination, are associated with an increased risk of hip fracture treated with arthroplasty (HF-arthroplasty) and assessed their population-level impact.
methodsIn this nationwide case-control study, we linked the Dutch Arthroplasty Register and the Dutch Foundation for Pharmaceutical Statistics. The resulting cohort does not include patients residing in or discharged to institutional care. Cases were all HF-arthroplasties in patients ≥ 65-years between 2013 and 2022. Estimates for controls were obtained from the general Dutch population in the same sex and 5-year age group during the calendar month of indexation. Medication use was defined as ≥ 1 dispensation of benzodiazepines, opioids, or both in the month before surgery (cases) or the corresponding calendar month (controls). We calculated stratified odds ratios (ORs) using the Mantel–Haenszel method, as well as the population attributable fraction (PAF).
resultsWe included 15,728 HF-arthroplasties (43% men; mean age 80 ± 8 years) and ≈ 3,228,768 monthly controls (range 25,848–528,914 per stratum). Among cases, 8.2% used benzodiazepines, 8.3% opioids, and 2.5% both medications in the pre-procedure month, compared to 5.9%, 2.6%, and 0.9% monthly use rates among controls, respectively. Benzodiazepine use was associated with HF-arthroplasties in individuals between 65-69-years with e.g. an OR of 1.75 [95%-CI 1.25–2.44] for males. Opioid use was associated with a higher risk of outcome across all groups, with ORs between 1.88 [95%-CI 1.43–2.46] and 5.08 [95%-CI 3.89–6.63]. The individual risk of HF-arthroplasty was highest with concurrent use, especially in individuals aged 65–69 years with ORs between 5.23 [95%-CI 3.73–7.33] and 7.51 [95%-CI 4.92–11.48]. At the population level, opioid exposure had the greatest impact, with the proportion of patients with hip fractures treated with arthroplasty potentially attributable to opioid use ranging from 3.7% to 6.0%.
conclusionsBenzodiazepine and opioid use are associated with an increased risk of HF-arthroplasty, particularly among individuals aged 65–69 years and when used concurrently. Opioid use contributed the most to the population burden, underscoring the importance of responsible opioid use in older adults, especially in combination with benzodiazepines.
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.