Evidence map›Paper›PMID 42088599›Full record

ArticleBone reports2026

Prior treatment, not vitamin D, predicts romosozumab response in 314 osteoporosis patients: A retrospective cohort study.

Ryo Nakano, Ayumi Ichisawa, Kenya Saruta, Masakazu Kogawa, Akira Fukuda

Abstract read
In one paragraph

Article in Bone reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Ryo NakanoDepartment of Orthopedic Surgery, Mutsu General Hospital, Shimokita Medical Center Association, Mutsu, Aomori, Japan.
Ayumi IchisawaDepartment of Orthopedic Surgery, Mutsu General Hospital, Shimokita Medical Center Association, Mutsu, Aomori, Japan.
Kenya SarutaDepartment of Orthopedic Surgery, Mutsu General Hospital, Shimokita Medical Center Association, Mutsu, Aomori, Japan.
Masakazu KogawaDepartment of Orthopedic Surgery, Mutsu General Hospital, Shimokita Medical Center Association, Mutsu, Aomori, Japan.
Akira FukudaDepartment of Orthopedic Surgery, Mutsu General Hospital, Shimokita Medical Center Association, Mutsu, Aomori, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although calcium and vitamin D supplementation is recommended with romosozumab therapy for postmenopausal osteoporosis, real-world evidence examining the impact of vitamin D formulation, dose, and prior treatment history on the treatment response remains limited. Methods: We conducted a retrospective cohort study of 314 osteoporotic patients who received romosozumab at a general hospital in northern Japan between April 2019 and April 2025. Patients were categorized according to vitamin D co-administration (none, eldecalcitol 0.5 μg, eldecalcitol 0.75 μg, alfacalcidol 0.5 μg, or alfacalcidol 1.0 μg) and prior treatment history. The primary outcome was the percentage change in the lumbar spine bone mineral density (BMD) at 12 months. Multivariate regression analysis was performed to identify predictors of treatment response. Results: Overall, the lumbar spine BMD increased by 8.90 ± 6.50% and the total hip BMD by 2.90 ± 3.80% at 12 months. Patients receiving vitamin D had lower baseline 25-hydroxyvitamin D levels (15.89 vs. 17.50 ng/mL, Conclusions: Prior treatment history, rather than vitamin D co-administration, was the dominant predictor of romosozumab response in patients with osteoporosis. Eldecalcitol 0.5 μg appears to be optimal for treatment-naïve patients with osteoporosis. Selection bias in vitamin D prescriptions must be considered when interpreting real-world treatment outcomes.

Indexed as

EldecalcitolOsteoporosisPrior treatmentRomosozumabSelection biasVitamin D

Identifiers

PMID42088599
PMCPMC13138073

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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.