Literature DB >> 10992172

Identification of at-risk women for osteoporosis screening.

L Weinstein1, B Ullery.   

Abstract

A total of 1610 women completed a questionnaire that evaluated their risk factors for osteoporosis. A dual-energy x-ray absorptiometry scan followed. Analysis of data was performed by the 2-tailed chi(2) test and multivariate logistic regression. Age was directly related to osteoporosis, whereas weight was inversely related. Also, the lack of use of any estrogen was significantly related to the presence of osteoporosis.

Entities:  

Mesh：

Year:  2000        PMID： 10992172     DOI： 10.1067/mob.2000.106594

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN： 0002-9378            Impact factor:   8.661


  28 in total

1.  Dental panoramic radiograph as a tool to detect postmenopausal women with low bone mineral density: untrained general dental practitioners' diagnostic performance.

Authors:  Takashi Nakamoto; Akira Taguchi; Masahiko Ohtsuka; Yoshikazu Suei; Minoru Fujita; Keiji Tanimoto; Mikio Tsuda; Mitsuhiro Sanada; Koso Ohama; Junichiro Takahashi; Madeleine Rohlin
Journal:  Osteoporos Int       Date:  2003-06-24       Impact factor: 4.507

Review 2.  Prescreening tools to determine who needs DXA.

Authors:  Elliott N Schwartz; Dee M Steinberg
Journal:  Curr Osteoporos Rep       Date:  2006-12       Impact factor: 5.096

3.  Decision rules for bone mineral density testing.

Authors:  Katherine A Kovacs
Journal:  CMAJ       Date:  2002-09-03       Impact factor: 8.262

4.  Racial disparity in treatment of osteoporosis after diagnosis.

Authors:  I Hamrick; L M Whetstone; D M Cummings
Journal:  Osteoporos Int       Date:  2006-07-27       Impact factor: 4.507

5.  Clinical performance of seven prescreening tools for osteoporosis in Iranian postmenopausal women.

Authors:  Abbas Keshtkar; Omidreza Tabatabaie; Nassim Matin; Zahra Mohammadi; Mehdi Ebrahimi; Patricia Khashayar; Mojgan Asadi
Journal:  Rheumatol Int       Date:  2015-05-17       Impact factor: 2.631

6.  Limited utility of clinical indices for the prediction of symptomatic fracture risk in postmenopausal women.

Authors:  Tuan V Nguyen; Jacqueline R Center; Nicholas A Pocock; John A Eisman
Journal:  Osteoporos Int       Date:  2003-10-30       Impact factor: 4.507

7.  Improvement of region of interest extraction and scanning method of computer-aided diagnosis system for osteoporosis using panoramic radiographs.

Authors:  Takashi Nakamoto; Akira Taguchi; Rinus Gerardus Verdonschot; Naoya Kakimoto
Journal:  Oral Radiol       Date:  2018-04-25       Impact factor: 1.852

8.  Artificial neural networks in prediction of bone density among post-menopausal women.

Authors:  M Sadatsafavi; A Moayyeri; A Soltani; B Larijani; M Nouraie; S Akhondzadeh
Journal:  J Endocrinol Invest       Date:  2005-05       Impact factor: 4.256

9.  Development and validation of osteoporosis risk-assessment model for Korean postmenopausal women.

Authors:  Sun Min Oh; Byung-Ho Nam; Yumie Rhee; Seong-Hwan Moon; Deog Young Kim; Dae Ryong Kang; Hyeon Chang Kim
Journal:  J Bone Miner Metab       Date:  2013-02-19       Impact factor: 2.626

10.  The validity of decision rules for selecting women with primary osteoporosis for bone mineral density testing.

Authors:  Suzanne M Cadarette; Warren J McIsaac; Gillian A Hawker; Liisa Jaakkimainen; Alison Culbert; Gihane Zarifa; Ebele Ola; Susan B Jaglal
Journal:  Osteoporos Int       Date:  2004-01-17       Impact factor: 4.507
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.