Evidence map›Paper›PMID 41788765›Full record

ArticleFrontiers in endocrinology2026

Denosumab in pediatric patients with fibrous dysplasia/McCune-Albright syndrome: a single-center, open-labeled study.

Quanshi Ouyang, Ruizhi Jiajue, Ruotong Zhou, Wenting Qi, Xiang Li, Lijia Cui, Yue Chi, Qianqian Pang, Yiyi Gong, Wei Liu and 5 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Quanshi OuyangDepartment of Endocrinology, Key Laboratory of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, National Commission of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Ruizhi JiajueDepartment of Endocrinology, Key Laboratory of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, National Commission of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Ruotong ZhouDepartment of Endocrinology, Key Laboratory of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, National Commission of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Wenting QiDepartment of Endocrinology, Key Laboratory of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, National Commission of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Xiang LiDepartment of Endocrinology, Key Laboratory of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, National Commission of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Lijia CuiDepartment of Endocrinology, Key Laboratory of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, National Commission of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Yue ChiDepartment of Endocrinology, Key Laboratory of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, National Commission of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Qianqian PangDepartment of Endocrinology, Key Laboratory of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, National Commission of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Yiyi GongDepartment of Endocrinology, Key Laboratory of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, National Commission of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Wei LiuDepartment of Endocrinology, Key Laboratory of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, National Commission of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Yan JiangDepartment of Endocrinology, Key Laboratory of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, National Commission of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Ou WangDepartment of Endocrinology, Key Laboratory of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, National Commission of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Mei LiDepartment of Endocrinology, Key Laboratory of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, National Commission of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Xiaoping XingDepartment of Endocrinology, Key Laboratory of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, National Commission of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Weibo XiaDepartment of Endocrinology, Key Laboratory of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, National Commission of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Fibrous Dysplasia/McCune-Albright Syndrome (FD/MAS) is a rare skeletal disorder frequently manifesting in childhood, often leading to progressive bone lesions, pain and functional impairment. Denosumab as a monoclonal antibody targeting RANKL has emerged as a potential therapeutic option, while its safety and efficacy in pediatric population remains poorly defined. Objective: Investigate the efficacy and safety of denosumab in pediatric FD/MAS population. Design: 12-month single-arm study. Setting: Single center study at Peking Union Medical College Hospital. Patients: FD/MAS patients under 18. Interventions: Denosumab 1mg/kg with a maximum dosage of 60mg every 3 months for 12-month follow-up. Main outcome measures: FD-related bone pain, bone turnover markers, Results: In 5 pediatric FD/MAS patients treated with denosumab, significant clinical improvements were observed, including alleviation of FD-associated bone pain, reductions in bone turnover markers, and regression of FD lesions. Alkaline phosphatase levels dropped to an average of 41.8% of baseline, accompanied by concurrent reductions in C-terminal telopeptide and type 1 N-terminal pro-peptide levels. Adverse events particularly hypercalcemia following treatment cessation occurred in 2 of the 5 patients, indicating a relatively high incidence of rebound hypercalcemia and highlighting the need for careful monitoring and cautious use of denosumab in pediatric patients. Conclusions: Denosumab appears to be effective in pediatric FD/MAS patients, however safety concerns remain. Comprehensive pre-treatment evaluation and close monitoring throughout the treatment course are essential. Further prospective studies and randomized controlled trials are needed to determine optimal dosing strategies and establish long-term safety in this population.

Indexed as

Bone Density Conservation AgentsDenosumabFibrous Dysplasia, PolyostoticAdolescentBiomarkersBone DensityChildChild, PreschoolFemaleFollow-Up StudiesHumansMaleTreatment OutcomeBiomarkersBone Density Conservation AgentsDenosumabdenosumabfibrous dysplasiahypercalcemiaMcCune-Albright syndromepediatric

Identifiers

PMID41788765
PMCPMC12956703

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.