Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 276

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Predictors of Bone Mass in Perimenopausal Women: A Prospective Study of Clinical Data Using Photon Absorptiometry

Slemenda, Charles W., Hui, Siu L., Longcope, Christopher, Wellman, Henry, Johnston, C. Conrad·1990·Annals of Internal Medicine

Abstract

STUDY OBJECTIVE: To determine whether clinically available data on risk factors are adequate to identify perimenopausal women with either low or high bone mass. DESIGN: Cross-sectional observational study of a cohort of perimenopausal women (mean age, 50.8 years). SETTING: Community volunteers in a university hospital. SUBJECTS: One hundred twenty-four white volunteers established as perimenopausal by history and serum concentrations of estrogens and follicle-stimulating hormone. MEASUREMENTS AND MAIN RESULTS: Models were constructed to predict bone mass in the radius, lumbar spine, and hip using risk factors (age, height, weight, calcium and caffeine intake, alcohol and tobacco use, and urinary markers of bone turnover). Although highly significant predictive models were developed for all skeletal sites, none of the models correctly identified more than 70% of women with low bone mass at any site. However, for the radius, a model was constructed that never overestimated bone mass by more than 0.10 g/cm. A small subgroup (7%) with short stature, low body weight, low calcium intake, and who were heavy smokers always had low radial bone mass. Using these models, about 30% of our population could be assessed without bone mass measurements. Predictions for the spine and femur were less efficient, suggesting that direct measurements are required if therapy decisions are to be based on bone mass at these sites. CONCLUSIONS: Risk factors for osteoporosis are of limited use in identifying women with low bone mass around the time of menopause. Measurements of bone mass are probably necessary if the risk for osteoporosis is to be the basis for deciding on estrogen replacement therapy.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.7326/0003-4819-112-2-96

Cites

13 of 13 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 13 references

Cited by

See all 276

Metadata

Authors
Slemenda, C. W., Hui, S. L., Longcope, C., Wellman, H., & Johnston, C. C.
Venue
Annals of Internal Medicine
Published
1990-01-15
Volume
112
Issue
2
Pages
96-101
ISSN
  • 0003-4819 (ISSN-L)
  • 1539-3704
OpenAlex
W1982376401
Cited by
276
References
13
FWCI
24.64
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: Predictors of Bone Mass in Perimenopausal Women: A Prospective Study of Clinical Data Using Photon Absorptiometry. https://app.cochat.ai/papers/10.7326/0003-4819-112-2-96
The paper
Slemenda, C. W., Hui, S. L., Longcope, C., Wellman, H., & Johnston, C. C. (1990). Predictors of Bone Mass in Perimenopausal Women: A Prospective Study of Clinical Data Using Photon Absorptiometry. Annals of Internal Medicine. https://doi.org/10.7326/0003-4819-112-2-96

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.