Evidence map›Paper›PMID 19723466›Full record

ReviewCurrent osteoporosis reports2009

Bone markers in osteoporosis.

Patrick Garnero

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current osteoporosis reports, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
4.1field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Osteoglycin and Bone-a Systematic Review.Current osteoporosis reports · 2019
    Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Physical training increases osteoprotegerin in postmenopausal women.Journal of bone and mineral metabolism · 2012
    Trial
  7. Article
  8. Review
  9. Article
  10. Article
  11. Secondary Osteoporosis and Metabolic Bone Diseases.Journal of clinical medicine · 2022
    Review
  12. Article
  13. Article
  14. Osteoporosis in South-East Asian Countries.The Clinical biochemist. Reviews · 2020
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Patrick GarneroSynarc, 16 rue Montbrillant, 69003 Lyon, France. patrick.garnero@synarc.com
Laboratoire de Synthèse Organique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current biological markers of bone turnover have proven useful in improving fracture risk assessment and monitoring treatment efficacy in postmenopausal osteoporosis. Recent developments in the field of bone markers include 1) identification of new biochemical markers providing additional information on the complex pathways leading to bone fragility; 2) application of novel technologies such as proteomics for the discovery of novel markers; 3) automation and multiplexing for improving analytical performance and convenience; and 4) refinement of the clinical interpretation of markers. Currently, however, for the management of individual patients, their most established application is to monitor treatment efficacy and possibly to improve fracture risk assessment. The role of bone markers for improving adherence to therapy will need to be investigated in further studies. This brief review discusses these novel technological developments and the recent clinical data on the use of established and new markers in postmenopausal osteoporosis.

Indexed as

BiomarkersBody Mass IndexFemaleHumansOsteoporosis, PostmenopausalRisk AssessmentBiomarkers

Identifiers

PMID19723466
OpenAlexW2072519450

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.