Evidence map›Paper›PMID 40913622›Full record

ArticleAnnals of hematology2025

Unicentric Castleman disease treated with rituximab before surgery: clinicopathologic findings.

Marco Paulli, Giuseppe Neri, Francesca Antoci, Edoardo D'Este, Marco Minetto, Federico Carpi, Martina La Fauci, Marcello Gambacorta, Marco Lucioni, Luca Arcaini

Abstract readCase Reports
In one paragraph

Article in Annals of hematology, 2025. 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

10 authors.

Marco PaulliDepartment of Molecular Medicine, University of Pavia, Pavia, Italy. marco.paulli@unipv.it.
Giuseppe NeriDivision of Anatomic Pathology Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Francesca AntociDivision of Anatomic Pathology Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Edoardo D'EsteDepartment of Molecular Medicine, University of Pavia, Pavia, Italy.
Marco MinettoDepartment of Molecular Medicine, University of Pavia, Pavia, Italy.
Federico CarpiDepartment of Molecular Medicine, University of Pavia, Pavia, Italy.
Martina La FauciDepartment of Molecular Medicine, University of Pavia, Pavia, Italy.
Marcello GambacortaPathology Unit, Synlab, Castenedolo, Brescia, Italy.
Marco LucioniDepartment of Molecular Medicine, University of Pavia, Pavia, Italy.
Luca ArcainiDepartment of Molecular Medicine, University of Pavia, Pavia, Italy. luca.arcaini@unipv.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Castleman disease (CD) is a rare lymphoproliferative disorder with unique clinicopathological features, including two distinct clinical subtypes categorized as unicentric (UCD) and multicentric (MCD). UCD usually involves a single lymph node site presenting with no or minimal local symptoms. Histologically, most UCD cases exhibit regressive hyaline vascular germinal centers, characterized by penetrating vessels, dendritic hyperplasia/dysplasia, and increased interfollicular vascularity. While complete surgical excision is the standard treatment for UCD, cases treated with neoadjuvant anti-CD20 therapy have been reported. Here, we describe a UCD case treated with anti-CD20, that showed only a partial response. We detail the clinical findings and the histological changes observed in the surgical specimen following therapy, and discuss the potential influence of the local microenvironment on the therapeutic efficacy of anti-CD20.

Indexed as

Castleman DiseaseRituximabHumansRituximabCastleman diseaseHistopathologyMicroenvironmentRituximab

Identifiers

PMID40913622
PMCPMC12619789

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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.