Evidence map›Paper›PMID 27784623›Full record

ArticleActa orthopaedica et traumatologica turcica2017

Clinical and pathological results of denosumab treatment for giant cell tumors of bone: Prospective study of 14 cases.

Mehmet Ali Deveci, Semra Paydaş, Gülfiliz Gönlüşen, Cenk Özkan, Ömer Sunkar Biçer, Mustafa Tekin

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Acta orthopaedica et traumatologica turcica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03259152 (Clinical, Pathologic Characteristics and Its Mechansim of Denosumab Treated Giant Cell Tumor of Bone), which is not on this map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% 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.

NCT03259152 phase3unknown statusnot on this map

Clinical, Pathologic Characteristics and Its Mechansim of Denosumab Treated Giant Cell Tumor of Bone

TypeinterventionalSponsorHebei Medical University Third HospitalRan2016 to 2019Enrolled30ConditionsGiant Cell Tumor of BoneArmsDenosumab
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  5. Surgical and radiological outcomes of giant cell tumor of the bone: prognostic value of Campanacci grading and selective use of denosumab.Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology · 2025
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  12. Role of (Neo)adjuvant Denosumab for Giant Cell Tumor of Bone.Current treatment options in oncology · 2020
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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

6 authors at 1 institution in 1 country.

Mehmet Ali DeveciÇukurova University Faculty of Medicine, Department of Orthopedics and Traumatology, Adana, Turkey. Electronic address: drmehmetali@hotmail.com.
Semra PaydaşÇukurova University Faculty of Medicine, Department of Medical Oncology, Adana, Turkey.
Gülfiliz GönlüşenÇukurova University Faculty of Medicine, Department of Pathology, Adana, Turkey.
Cenk ÖzkanÇukurova University Faculty of Medicine, Department of Orthopedics and Traumatology, Adana, Turkey.
Ömer Sunkar BiçerÇukurova University Faculty of Medicine, Department of Orthopedics and Traumatology, Adana, Turkey.
Mustafa TekinÇukurova University Faculty of Medicine, Department of Orthopedics and Traumatology, Adana, Turkey.
Cukurova University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGiant cell tumor of bone (GCT) is a primary, osteolytic, benign tumor of the bone. Surgery is the commonly used treatment; however, recurrence remains a problem. Receptor activator of nuclear factor kappa B (RANKL) is responsible for the formation of osteoclastic cells. Discovery of RANKL and its human monoclonal antibody, denosumab, led to use of denosumab for treatment of GCT. The aim of this study was to evaluate clinical and pathological results of treatment of GCT with denosumab and to assess adverse effect profile and recurrence rate.

methodsThirteen patients with 14 lesions were enrolled in the study. Mean age was 38.3 years. Patients were given subcutaneous injections of denosumab (120 mg) every 4 weeks (with additional doses on days 0, 8 and 15 in cycle 1 only) and were radiologically evaluated for tumor response. Pain and functional status were measured using Visual Analog Score (VAS) and Musculoskeletal Tumor Society Score (MSTS). Adverse effects were analyzed after each cycle.

resultsParticipants were 5 men and 8 women. Mean follow-up was 17 months. One lesion was Campanacci grade I, 8 were grade II, and 5 were grade III. Eight lesions were recurrent, and remaining were primary lesions. After average of 9 cycles (range: 4-17 cycles), all tumors underwent radiological regression. Ten lesions were removed surgically. More than 90% of giant cells were found to have regressed in all pathological specimens. On last follow-up, average VAS was 1 and MSTS was 87%. Fatigue and joint and muscle pain after injections was reported by 46% of patients, and mild hypocalcaemia was seen in 1 patient.

conclusionDenosumab has been shown to be a successful drug in treatment of GCT. Denosumab can be used as neoadjuvant for all recurrent lesions, grade II lesions with high surgical risk, grade III lesions, and metastatic cases of GCT. LEVEL OF EVIDENCE: Level IV, Therapeutic study.

Indexed as

Bone and BonesBone NeoplasmsDenosumabGiant Cell Tumor of BoneMusculoskeletal PainAdultBone Density Conservation AgentsDrug Administration ScheduleDrug MonitoringFemaleFollow-Up StudiesHumansInjections, SubcutaneousMaleNeoplasm GradingPain MeasurementBone Density Conservation AgentsDenosumabRANK LigandTNFSF11 protein, humanDenosumabGiant cell tumorRecurrence

Identifiers

PMID27784623
PMCPMC6197547
OpenAlexW2317456741

What OpenQuestion holds

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Registered trials

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.