Evidence map›Paper›PMID 34125982›Full record

ArticlePathology international2021

Giant cell tumor of bone - Analysis of 213 cases involving extra-craniofacial bones.

Eiichi Konishi, Hidetatsu Outani, Masayuki Mano, Shigenori Nagata, Toshiharu Shirai, Norifumi Naka, Yumiko Hori, Satoshi Takenaka, Hironori Haga, Junya Toguchida and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Pathology international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

17 authors at 7 institutions in 1 country.

Eiichi KonishiDepartment of Pathology, Kyoto Prefectural University of Medicine Graduate School of Medicine, Kyoto, Japan.ORCID http://orcid.org/0000-0002-7122-2271
Hidetatsu OutaniDepartment of Orthopaedic Surgery, Osaka International Cancer Institute, Osaka, Japan.
Masayuki ManoDepartment of Pathology, Osaka National Hospital, Osaka, Japan.
Shigenori NagataDepartment of Pathology, Osaka International Cancer Institute, Osaka, Japan.
Toshiharu ShiraiDepartment of Orthopaedics, Kyoto Prefectural University of Medicine Graduate School of Medicine, Kyoto, Japan.
Norifumi NakaDepartment of Orthopaedic Surgery, Osaka International Cancer Institute, Osaka, Japan.
Yumiko HoriDepartment of Pathology, Osaka University Graduate School of Medicine, Osaka, Japan.
Satoshi TakenakaDepartment of Orthopaedic Surgery, Osaka International Cancer Institute, Osaka, Japan.
Hironori HagaDepartment of Diagnostic Pathology, Kyoto University Graduate School of Medicine, Kyoto, Japan.ORCID http://orcid.org/0000-0003-4322-9561
Junya ToguchidaDepartment of Orthopaedic Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Shigeki KakunagaDepartment of Orthopedic Surgery, Osaka National Hospital, Osaka, Japan.
Yuko KuwaeDepartment of Diagnostic Pathology, Osaka City University Graduate School of Medicine, Osaka, Japan.
Manabu HoshiDepartment of Orthopaedic Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan.
Takeshi InoueDepartment of Pathology, Osaka City General Hospital, Osaka, Japan.
Masanari AonoDepartment of Orthopaedic Surgery, Osaka City General Hospital, Osaka, Japan.
Yukiko MorinagaDepartment of Pathology, Kyoto Prefectural University of Medicine Graduate School of Medicine, Kyoto, Japan.
Yasuaki NakashimaDepartment of Diagnostic Pathology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Osaka International Cancer Institute · JPKyoto Prefectural University of Medicine · JPKyoto University · JPOsaka City General Hospital · JPOsaka City University · JPOsaka National Hospital · JPThe University of Osaka · JP

Funding

Ministry of Education, Culture, Sports, Science and Technology, Japan
6 · The paper itself

Abstract

We elucidated clinicopathological characteristics of giant cell tumor of bone (GCTB) in Japan, and significant clinicopathological factors for predicting local recurrence. Clinicopathological profiles of 213 patients with GCTB (100 male, 113 female) involving extra-craniofacial bones were retrieved. Pathological slides obtained at the initial surgery were reviewed. Fourteen pathological and five clinical features were statistically analyzed to disclose prognostic significance. Patient age ranged from 12-80 years (Average 38.7). Long bones were most frequently affected (86.4%), especially around the knee (62.9%). Histological features are basically similar to those previously reported. Within a follow-up period (24-316 months, average 106.1 months), the local recurrence rate is 29.1%. Metastasis has occurred in 9 patients. Cox regression analysis of representative clinicopathological features shows that younger age, higher mitotic count, smaller zones of stromal hemorrhage, considerable vascular invasion and absence of ischemic necrosis are significant predictors for local recurrence. Initial operative method (curettage) is a significant risk factor in univariate analysis but not by multivariate analysis (P = 0.053). Denosumab administration increases risk but not significantly (P = 0.053). Histone 3.3 G34W immunopositivity is not significant for predicting local recurrence.

Indexed as

PrognosisAdolescentAdultAgedAged, 80 and overBone NeoplasmsChildCurettageFemaleGiant Cell Tumor of BoneHistonesHumansJapanMaleMiddle AgedNeoplasm Recurrence, LocalHistonesbonedenosumabextra-craniofacial boneG34Wgiant cell tumor of bonelocal recurrencemitosisprognosisrisk factorstatistical analysis

Identifiers

PMID34125982
PMCPMC8453959
OpenAlexW3171098129

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.