Evidence map›Paper›PMID 22180055›Full record

ReviewEndocrine2012

New understanding and treatments for osteoporosis.

G Mazziotti, J Bilezikian, E Canalis, D Cocchi, A Giustina

Abstract readReview
PubMed Publisher
In one paragraph

Review in Endocrine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 2 pooled it
9.4field-weighted citation impact, top 1% 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

86 citing papers in PubMed, 2 syntheses or guidelines pooled it, 153 citations in OpenAlex.

  1. Pooled it
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  15. Acromegaly and Bone: An Update.Endocrinology and metabolism (Seoul, Korea) · 2023
    Review
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  18. Review
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26 more citing papers are in PubMed but not listed here.

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

5 authors at 3 institutions in 2 countries.

G MazziottiDepartment of Medical and Surgical Sciences, University of Brescia, Brescia, Italy. gherardo.mazziotti@aopoma.it
J Bilezikian
E Canalis
D Cocchi
A Giustina
University of Brescia · ITColumbia University · USSaint Francis Hospital & Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To summarize promising areas of investigation in osteoporosis and to stimulate further research in this area, as discussed in a recent international conference. Over the recent years, there has been an improvement in the knowledge of molecular pathways involved in bone formation and resorption with the development of new drugs to treat osteoporosis. Intact parathyroid hormone, teriparatide, and anti-sclerostin monoclonal antibody are anabolic drugs, whereas denosumab and odanacatib are anti-resorptive drugs with more reversible effects as compared to bisphosphonates. Anabolic and anti-resorptive agents have different effects on bone, and research in this area includes the efficacy of combination and sequential therapies with them. New insights in the molecular pathways of bone remodeling have clarified the mechanisms responsible for skeletal fragility in several forms of secondary osteoporosis, such as that occurring in type 2 diabetes, following drug exposure and systemic inflammatory diseases. Future research is needed to address the efficacy of anti-osteoporotic drugs in these more recently recognized conditions of skeletal fragility. Osteoporosis continues to be an important field of biomedical research.

Indexed as

Anabolic AgentsAnimalsBone and BonesBone Density Conservation AgentsBone RemodelingDiphosphonatesDisease Models, AnimalHumansOsteogenesisOsteoporosisAnabolic AgentsBone Density Conservation AgentsDiphosphonates

Identifiers

PMID22180055
OpenAlexW1996218212

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.