Evidence map›Paper›PMID 34131654›Full record

ReviewFaculty reviews2021

Anabolic treatments for osteoporosis in postmenopausal women.

Neelam Hassan, Celia L Gregson, Jon H Tobias

Open access · diamondAbstract readReview
In one paragraph

Review in Faculty reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Osteoporosis: Spotlight on current approaches to pharmacological treatment.Turkish journal of physical medicine and rehabilitation · 2023
    Review
  11. Review
  12. 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

3 authors at 3 institutions in 3 countries.

Neelam HassanTranslational Health Sciences, Bristol Medical School, University of Bristol, Musculoskeletal Research Unit, Southmead Hospital, Bristol, UK.
Celia L GregsonTranslational Health Sciences, Bristol Medical School, University of Bristol, Musculoskeletal Research Unit, Southmead Hospital, Bristol, UK.
Jon H TobiasTranslational Health Sciences, Bristol Medical School, University of Bristol, Musculoskeletal Research Unit, Southmead Hospital, Bristol, UK.
Southmead Hospital · GBUniversity of Bristol · GBUniversity of Siena · IT

Funding

Medical Research Council MR/V00199X/1
6 · The paper itself

Abstract

Antiresorptive agents are generally recommended as first-line treatment for osteoporosis in postmenopausal women. These drugs suppress bone resorption but do not rebuild bone, limiting their efficacy. Antiresorptive use is further hampered by concerns over rare side effects, including atypical femoral fractures and osteonecrosis of the jaw. Anabolic treatments overcome limitations of antiresorptive treatment by stimulating new bone formation, reducing the risk of fracture with greater efficacy. This review summarises the latest trial data for the three anabolic agents currently available for the treatment of osteoporosis in postmenopausal women: teriparatide, abaloparatide, and romosozumab. Data from head-to-head studies comparing anabolic and antiresorptive treatments are reviewed. At present, anabolic treatments are generally reserved for use in patients with severe osteoporosis at very high fracture risk; the factors limiting their more widespread use are discussed together with how this may change in the future.

Indexed as

AbaloparatideAnabolicOsteoporosisPostmenopausalRomosozumabTeriparatide

Identifiers

PMID34131654
PMCPMC8170684
OpenAlexW3157457003

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.