Evidence map›Paper›PMID 29124835›Full record

ArticleCancer science2018

Clinical characteristics and outcomes of Castleman disease: A multicenter study of 185 Chinese patients.

Xuanye Zhang, Huilan Rao, Xiaolu Xu, Zhihua Li, Bing Liao, Hongmei Wu, Mei Li, Xiuzhen Tong, Juan Li, Qingqing Cai

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Cancer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 7% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
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  5. The sonographic characteristics of unicentric castleman disease - a single-center retrospective study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
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  16. [The clinical features of Castleman disease in the head and neck].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2022
    Article
  17. Article
  18. Castleman disease of the pancreas mimicking pancreatic malignancy onWorld journal of gastrointestinal surgery · 2022
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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

10 authors at 2 institutions in 1 country.

Xuanye ZhangDepartment of Medical Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Huilan RaoDepartment of Pathology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Xiaolu XuDepartment of Medical Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Zhihua LiDepartment of Medical Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Bing LiaoDepartment of Pathology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Hongmei WuDepartment of Pathology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Mei LiDepartment of Pathology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Xiuzhen TongDepartment of Hematology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Juan LiDepartment of Hematology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Qingqing CaiDepartment of Medical Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.ORCID http://orcid.org/0000-0001-5447-3282
Sun Yat-sen University · CNGuangdong General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Castleman disease (CD) is a rare lymphoproliferative disorder. To assess the clinical features, outcomes, and prognostic factors of this disease, we retrospectively analyzed 185 HIV-negative CD patients from four medical centers in southern China. The median age was 37 years. One hundred and twenty-one patients (65.4%) were classified as unicentric CD (UCD) and 64 patients (34.6%) were classified as multicentric CD (MCD). The histology subtype was hyaline-vascular for 132 patients (71.4%), plasma cell for 50 patients (27%), and mixed type for 3 patients (1.6%). The 5-year overall survival (OS) of 185 CD cases was 80.3%. All UCD patients underwent surgical excision, whereas the treatment strategies of MCD patients were heterogeneous. The outcome for UCD patients was better than MCD patients, with 5-year OS rates of 93.6% and 51.2%, respectively. In further analysis of the MCD subgroup, a multivariate analysis using a Cox regression model revealed that age, splenomegaly and pretreatment serum albumin level were independent prognostic factors for OS. This multicenter study comprising the largest sample size to date suggested that MCD is a distinct entity from UCD with a significantly worse outcome. Older age (≥40 years), splenomegaly, and hypoalbuminemia were risk factors for poorer MCD prognosis.

Indexed as

AdolescentAdultAgedCastleman DiseaseChildChinaFemaleHumansMaleMiddle AgedPositron-Emission TomographyPrognosisRetrospective StudiesRisk FactorsTomography, X-Ray ComputedYoung AdultageCastleman diseaseHIVhuman herpes virus 8splenomegaly

Identifiers

PMID29124835
PMCPMC5765290
OpenAlexW2768020422

What OpenQuestion holds

Textmetadata
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.