Evidence map›Paper›PMID 40024934›Full record

ReviewJournal of bone and mineral metabolism2025

Sequential and combination therapy with romosozumab.

Tomonori Kobayakawa

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of bone and mineral metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Differential efficacy of initial versus sequential combination of denosumab and teriparatide in osteoporosis at high fracture risk.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
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.

Tomonori KobayakawaKobayakawa Orthopedic and Rheumatologic Clinic, 1969 Kunou, Fukuroi, Shizuoka, 437-0061, Japan. kobatomo0109@yahoo.co.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction of the bone-forming agent romosozumab has led to a dramatic improvement in osteoporosis treatment. While bisphosphonates remain the most commonly used drugs for the treatment of osteoporosis, it is recommended that patients at high risk of fractures initially receive bone-forming agents, followed by sequential treatment with bone resorption inhibitors. Romosozumab, an anti-sclerostin antibody, is an osteoporosis medication with both bone formation-stimulating and bone resorption-inhibiting properties, demonstrating significant efficacy in increasing bone mineral density and reducing fracture risk. However, due to the limited 12-month initial treatment period, sequential therapy with other osteoporosis medications is necessary following the completion of romosozumab administration. Due to the current lack of sufficient evidence regarding the use of romosozumab in sequential and combination therapies, this review aims to evaluate the efficacy of romosozumab as a sequential treatment, its effectiveness in combination with other agents, and its role in reducing new fragility fractures and increasing bone mineral density following sequential therapy after romosozumab. This review will summarize clinical trials and real-world data, providing valuable information to guide treatment decisions.

Indexed as

Antibodies, MonoclonalOsteoporosisBone DensityDrug Therapy, CombinationHumansAntibodies, MonoclonalromosozumabBisphosphonatesDenosumabOsteoporosisRomosozumabTeriparatide

Identifiers

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.