Evidence map›Paper›PMID 41658580›Full record

SynthesisFrontiers in medicine2026

Retrospective analysis of primary extranodal unicentric Castleman disease: a systematic review.

Jianing Shen, Yongjun Zeng, Yuan Liu, Nie Xu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 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

4 authors.

Jianing Shen *School of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yongjun Zeng *Department of Pathology, Chengdu Integrated TCM and Western Medicine Hospital, Chengdu, China.
Yuan LiuSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Nie XuDepartment of Oncology, The Research Institute of Integrated TCM & Western Medicine of Chengdu University of Chinese Medicine, Chengdu Integrated TCM and Western Medicine Hospital, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Unicentric Castleman disease (UCD) is a rare lymphoproliferative disorder that typically occurs in lymph node-rich regions. Castleman disease originating in solid organs outside the lymph nodes is extremely rare. Current knowledge is limited to isolated case reports, leaving a lack of systematic evidence to guide diagnosis, management, and prognostic assessment. Methods: We conducted a systematic review of PubMed-reported cases and series of histologically confirmed of primary extranodal UCD over the past 20 years, summarizing their epidemiological, clinical, pathological, therapeutic features and outcome data. Results: A total of 99 cases from 83 publications were included. The median age at diagnosis was 44 years, with a male-to-female ratio of 0.77:1. The mean tumor size was 4.9 cm. The most frequent sites were the pancreas (14.1%), adrenal glands (14.1%), skeletal muscle (14.1%), parotid glands (13.1%), and kidneys (9.1%). Hyaline vascular type predominated (80.8%). Surgery was the primary treatment, yielding a 4-year recurrence-free survival rate of 84.6% (95% CI, 0.512-0.959). Lymphoma transformation occurred in 2% of cases. Radiotherapy and glucocorticoids may be effective treatment options. Conclusion: Primary extranodal UCD displays different anatomic origins but generally carries an excellent prognosis following complete surgical resection. Awareness of its potential for malignant transformation is essential for long-term management.

Indexed as

diagnosisextranodalsystematic reviewtreatmentunicentric Castleman disease

Identifiers

PMID41658580
PMCPMC12872552

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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.