Literature DB >> 2133639

Screening procedure for women at risk of developing postmenopausal osteoporosis.

C Christiansen1, B J Riis, P Rødbro.   

Abstract

The present study includes 70 healthy, immediately postmenopausal women stratified according to future rate of bone loss. The stratification was performed by means of four parameters of bone turnover: serum alkaline phosphatase, fasting urinary calcium and hydroxyproline, and body weight, used in an equation developed in a previous study. After the stratification the women were followed without intervention for the next 24 months, with bone mass measurements every 3 months. The bone loss estimated at baseline by means of the equation correlated with the bone loss measured in the forearm (y = 0.72x - 1.52; r = 0.61; P less than 0.001). Plasma bone gla protein (BGP, osteocalcin), which is a new specific marker of bone formation, was now added to the model (replacing body weight). This increased the diagnostic validity (y = x; r = 0.76; P less than 0.001). From the present study we conclude that the postmenopausal bone loss can be predicted by means of four biochemical parameters determined in plasma and urine in women just after the menopause.

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Year:  1990        PMID: 2133639     DOI: 10.1007/bf01880414

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  32 in total

1.  Estrogen replacement therapy I: a 10-year prospective study in the relationship to osteoporosis.

Authors:  L E Nachtigall; R H Nachtigall; R D Nachtigall; E M Beckman
Journal:  Obstet Gynecol       Date:  1979-03       Impact factor: 7.661

2.  Estrogens and endometrial cancer in a retirement community.

Authors:  T M Mack; M C Pike; B E Henderson; R I Pfeffer; V R Gerkins; M Arthur; S E Brown
Journal:  N Engl J Med       Date:  1976-06-03       Impact factor: 91.245

3.  Prediction of rapid bone loss in postmenopausal women.

Authors:  C Christiansen; B J Riis; P Rødbro
Journal:  Lancet       Date:  1987-05-16       Impact factor: 79.321

4.  An easy and reliable method for determination of urinary hydroxyproline.

Authors:  J Pødenphant; N E Larsen; C Christiansen
Journal:  Clin Chim Acta       Date:  1984-09-15       Impact factor: 3.786

5.  Effects of different progestogens on lipoproteins during postmenopausal replacement therapy.

Authors:  E Hirvonen; M Mälkönen; V Manninen
Journal:  N Engl J Med       Date:  1981-03-05       Impact factor: 91.245

6.  The relation of total body potassium to height, weight, and age in normal adults.

Authors:  K Boddy; P C King; R Hume; E Weyers
Journal:  J Clin Pathol       Date:  1972-06       Impact factor: 3.411

7.  Risk of endometrial cancer after treatment with oestrogens alone or in conjunction with progestogens: results of a prospective study.

Authors:  I Persson; H O Adami; L Bergkvist; A Lindgren; B Pettersson; R Hoover; C Schairer
Journal:  BMJ       Date:  1989-01-21

8.  Prediction of body composition by age, height, weight, and skinfold thickness in normal adults.

Authors:  C Hassager; A Gotfredsen; J Jensen; C Christiansen
Journal:  Metabolism       Date:  1986-12       Impact factor: 8.694

9.  Prevention of early postmenopausal bone loss: controlled 2-year study in 315 normal females.

Authors:  C Christiansen; M S Christensen; P McNair; C Hagen; K E Stocklund; I Transbøl
Journal:  Eur J Clin Invest       Date:  1980-08       Impact factor: 4.686

10.  Bone mass and its relationship to age and the menopause.

Authors:  L Nilas; C Christiansen
Journal:  J Clin Endocrinol Metab       Date:  1987-10       Impact factor: 5.958

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  25 in total

1.  Biochemical markers of bone turnover predict bone loss in perimenopausal women but not in postmenopausal women-the Japanese Population-based Osteoporosis (JPOS) Cohort Study.

Authors:  M Iki; A Morita; Y Ikeda; Y Sato; T Akiba; T Matsumoto; H Nishino; S Kagamimori; Y Kagawa; H Yoneshima
Journal:  Osteoporos Int       Date:  2006-05-03       Impact factor: 4.507

2.  Potential value of urinary oestrogen assays in the identification of fast bone losers after the menopause.

Authors:  M H Walkinshaw; P A Mole; C R Paterson
Journal:  Osteoporos Int       Date:  1992-07       Impact factor: 4.507

3.  The role of biochemical markers of bone turnover in osteoporosis management in clinical practice.

Authors:  Samuel D Vasikaran; Paul Glendenning; Howard A Morris
Journal:  Clin Biochem Rev       Date:  2006-08

4.  Metabolic markers for the early diagnosis of postmenopausal osteoporosis.

Authors:  G Isaia; M Mussetta; M Di Stefano; A Sciolla; S Triolo; G M Molinatti
Journal:  J Endocrinol Invest       Date:  1994-11       Impact factor: 4.256

5.  Variability of vertebral and femoral postmenopausal bone loss: a longitudinal study.

Authors:  J M Pouillès; F Trémollières; C Ribot
Journal:  Osteoporos Int       Date:  1996       Impact factor: 4.507

6.  Temporal relationship between bone loss and increased bone turnover: a longitudinal study following natural menopause.

Authors:  R Rosso; S Minisola; A Scarda; M T Pacitti; V Carnevale; E Romagnoli; G F Mazzuoli
Journal:  J Endocrinol Invest       Date:  1995-10       Impact factor: 4.256

7.  Biochemical markers of bone turnover to monitor the bone response to postmenopausal hormone replacement therapy.

Authors:  B J Riis; K Overgaard; C Christiansen
Journal:  Osteoporos Int       Date:  1995       Impact factor: 4.507

8.  Reference database of biochemical markers of bone turnover for the Japanese female population. Japanese Population-based Osteoporosis (JPOS) Study.

Authors:  Masayuki Iki; Takashi Akiba; Toshio Matsumoto; Harumi Nishino; Sadanobu Kagamimori; Yoshiko Kagawa; Hideo Yoneshima
Journal:  Osteoporos Int       Date:  2004-07-31       Impact factor: 4.507

9.  Role of peak bone mass and bone loss in postmenopausal osteoporosis: 12 year study.

Authors:  M A Hansen; K Overgaard; B J Riis; C Christiansen
Journal:  BMJ       Date:  1991-10-19

10.  Biochemical markers for bone turnover predict risk of vertebral fractures in postmenopausal women over 10 years: the Japanese Population-based Osteoporosis (JPOS) Cohort Study.

Authors:  J Tamaki; M Iki; E Kadowaki; Y Sato; Y Chiba; T Akiba; T Matsumoto; H Nishino; S Kagamimori; Y Kagawa; H Yoneshima
Journal:  Osteoporos Int       Date:  2012-08-11       Impact factor: 4.507

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