ReviewEFORT open reviews2026
Best practices in the management of proximal femoral fractures in elderly patients on the ward: a narrative review.
Review in EFORT open reviews, 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
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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
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Proximal femoral fractures are common in the elderly population and are associated with significant morbidity, mortality, and major functional consequences. Their management represents an ongoing challenge. Care for this frail population must be coordinated, standardized, and multidisciplinary. These fractures represent a significant public health concern, prompting numerous studies to explore organizational strategies and risk factors aimed at minimizing related complications. This article reviews current recommendations for the management of proximal femoral fractures in the elderly, including definitions of geriatric and frail patients, service organizations, and clinical pathways. It also provides an overview of the latest recommendations for the management of medical problems and anticoagulation in elderly patients with proximal femur fractures.
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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 Socratic graph.