The DOI matches its Crossref record; 66 of the 67 references it cites were found in a registry or an index.
The influence of osteoporosis in femoral fracture healing time
Abstract
Aim In order to assess the effect of osteoporosis on healing time, the files of 165 patients with femoral shaft fractures that were treated in our institution with locked-reamed intramedullary nailing were retrospectively reviewed.Patients and methods Patients with open fractures, pathological fractures, revision surgery, severe brain injuries and prolonged ITU stay were excluded. In all patients the Singh-index score for osteoporosis and the canal bone ratio (CBR) were assigned. Sixty-six patients fulfilled the inclusion criteria. Patients were divided into two groups; group A (29 patients) consisted of patients over 65 years old with radiological evidence of osteoporosis and group B (37 patients) of patients between 18 and 40 years old with no signs of osteoporosis.Results In all group A patients Singh score < or =4 and CBR>0.50 were assigned, suggesting the presence of osteoporosis, whereas all group B patients were assigned with Singh score > or =5 and CBR<0.48. Fractures of group A healed in 19.38+/-5.9 weeks (12-30) and in group B 16.19+/-5.07 weeks (10-28), P=0.02.Conclusions Fracture healing of nailed femoral diaphyseal fractures is significantly delayed in older osteoporotic patients. Further studies are required to clarify the exact impact of osteoporosis in the whole healing process.
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Baker, S. P., O’Neill, B., Haddon, W. F., & Long, W. B. (1974) · PubMed · Cited by 7,946
Baker, S. P., O’Neill, B., Haddon, W. F., & Long, W. B. (1974) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/00005373-197403000-00001 · Cited by 7,326
Incidence and Economic Burden of Osteoporosis-Related Fractures in the United States, 2005–2025
Burge, R., Dawson-Hughes, B., Solomon, D. H., Wong, J. B., King, A., & Tosteson, A. (2007) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.061113 · Cited by 4,026
Epidemiology and outcomes of osteoporotic fractures
Cummings, S. R., & Melton, L. J. (2002) · The Lancet · doi:10.1016/s0140-6736(02)08657-9 · Cited by 3,821
The Comprehensive Classification of Fractures of Long Bones
Müller, M. E., Koch, P. M., Nazarian, S., & Schatzker, J. (1990) · Springer eBooks · doi:10.1007/978-3-642-61261-9 · Cited by 2,050
The worldwide problem of osteoporosis: Insights afforded by epidemiology
Riggs, B. L., & Melton, L. J. (1995) · Bone · doi:10.1016/8756-3282(95)00258-4 · Cited by 1,414
The ovariectomized rat model of postmenopausal bone loss
Kalu, D. N. (1991) · Bone and Mineral · doi:10.1016/0169-6009(91)90124-i · Cited by 1,364
Changes in Trabecular Pattern of the Upper End of the Femur as an Index of Osteoporosis
Singh, M., NAGRATH, A. R., & Maini, P. (1970) · Journal of Bone and Joint Surgery · doi:10.2106/00004623-197052030-00005 · Cited by 1,153
Closed intramedullary nailing of femoral fractures. A report of five hundred and twenty cases.
Winquist, R. A., Hansen, S. T., & Clawson, D. K. (1984) · Journal of Bone and Joint Surgery · doi:10.2106/00004623-198466040-00006 · Cited by 972
Current concepts of molecular aspects of bone healing
Dimitriou, R. I., Tsiridis, E. E., & Giannoudis, P. V. (2005) · Injury · doi:10.1016/j.injury.2005.07.019 · Cited by 949
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Bobbert, F. S. L., Lietaert, K., Eftekhari, A. A., Pouran, B., Ahmadi, S. M., Weinans, H., & ZADPOOR, A. A. (2017) · Acta Biomaterialia · doi:10.1016/j.actbio.2017.02.024 · Cited by 879
Interaction between bone and immune cells: Implications for postmenopausal osteoporosis
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Metadata
- Authors
- Nikolaou, V. S., Efstathopoulos, N., Kontakis, G., Kanakaris, N. K., & Giannoudis, P. V.
- Affiliations
- University of Leeds (GB)
- National and Kapodistrian University of Athens (GR)
- University of Crete (GR)
- Corresponding author
- Giannoudis, Peter V.
- Venue
- Injury
- Publisher
- Elsevier BV
- Published
- 2009-06
- Volume
- 40
- Issue
- 6
- Pages
- 663-668
- ISSN
- 0020-1383 (ISSN-L)
- OpenAlex
- W2004960578
- Cited by
- 185
- References
- 67
- Citations by year
- 2026: 9 · 2025: 7 · 2024: 11 · 2023: 14 · 2022: 7 · 2021: 12 · 2020: 11 · 2019: 9 · 2018: 12 · 2017: 18 · 2016: 14 · 2015: 19 · 2014: 10 · 2013: 6 · 2012: 6
- FWCI
- 5.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Injury (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone fractures and treatments
- Health Sciences › Medicine › Surgery › Hip and Femur Fractures
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
- Keywords
- osteoporosis, femoral shaft fracture, fracture healing time, Singh index, intramedullary nailing, locked intramedullary nailing, elderly patients, bone quality
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Female, Femoral Fractures, Fracture Fixation, Intramedullary, Humans, Male, Osteoporosis, Radiography, Retrospective Studies, Time Factors, Bone Density, Injury Severity Score, Weight-Bearing, Fracture Healing, Diaphyses, Young Adult
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