The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Which Fractures Are Associated with Low Appendicular Bone Mass in Elderly Women?
Abstract
OBJECTIVE: To determine which types of fractures have an increased incidence in elderly women with low appendicular bone mass. DESIGN: Prospective cohort study. SETTING: Four clinical centers in the United States (Baltimore, Maryland; Minneapolis, Minnesota; Portland, Oregon; Monangehela Valley, Pennsylvania); and one coordinating center in San Francisco, California. SUBJECTS: Ambulatory, nonblack women (9704) aged 65 years or more who were recruited from population-based listings. MEASUREMENTS: We measured bone mass at the distal and proximal radius and calcaneus using single-photon absorptiometry. Fractures were verified radiographically. Associations were calculated as age-adjusted hazard ratios (with 95% Cls) per standard deviation decrease in bone mass. MAIN RESULTS: During a mean follow-up of 2.23 years, 841 nonspinal fractures occurred in 753 women. The risks for fractures of the wrist, foot, humerus, hip, rib, toe, leg, pelvis, hand, and clavicle were significantly related to reduced bone mass (P less than 0.05). These fractures represented 74% of nonspinal fractures. The overall hazard ratio for the occurrence of one or more of these fractures was 1.65 (Cl, 1.49 to 1.82) at the distal radius. In a subsample of the cohort, vertebral fractures were also related to low bone mass. Fractures of the ankle, elbow, finger, and face, however, were not associated with bone mass at any measurement site; the overall hazard ratio for these fractures was 1.12 (Cl, 0.96 to 1.30) at the distal radius. CONCLUSION: Most types of fractures have an increased incidence in elderly women with low bone mass.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
Cited by
Professor Kanis, J. A., Melton, L. J., Christiansen, C., Johnston, C. C., & Khaltaev, N. (1994) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.5650090802 · Cited by 3,849
Black, D. M., Cummings, S. R., Karpf, D. B., Cauley, J. A., Thompson, D. E., Nevitt, M. C., Bauer, D. C., Genant, H. K., Haskell, W. L., Marcus, R., et al. (1996) · The Lancet · doi:10.1016/s0140-6736(96)07088-2 · Cited by 3,846
Self-citationEpidemiology 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
Self-citationMarshall, D., Johnell, O., & Wedel, H. (1996) · BMJ · doi:10.1136/bmj.312.7041.1254 · Cited by 3,709
Bone density at various sites for prediction of hip fractures
Cummings, S. R., Browner, W., Cummings, S. R., Black, D. M., Nevitt, M. C., Browner, W., Genant, H. K., Cauley, J., Ensrud, K., Scott, J., et al. (1993) · The Lancet · doi:10.1016/0140-6736(93)92555-8 · Cited by 2,446
Self-citation
Metadata
- Authors
- Seeley, D. G., Browner, W. S., Nevitt, M. C., Genant, H. K., Scott, J. C., Cummings, S. R., & Study of Osteoporotic Fractures Research Group
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 1991-12-01
- Volume
- 115
- Issue
- 11
- Pages
- 837-842
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- OpenAlex
- W2065380630
- Cited by
- 558
- References
- 1
- FWCI
- 18.00
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Which Fractures Are Associated with Low Appendicular Bone Mass in Elderly Women? https://app.cochat.ai/papers/10.7326/0003-4819-115-11-837
- The paper
- Seeley, D. G., Browner, W. S., Nevitt, M. C., Genant, H. K., Scott, J. C., Cummings, S. R., & Study of Osteoporotic Fractures Research Group. (1991). Which Fractures Are Associated with Low Appendicular Bone Mass in Elderly Women? Annals of Internal Medicine. https://doi.org/10.7326/0003-4819-115-11-837
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
