Evidence map›Paper›PMID 37530790›Full record

ReviewVirchows Archiv : an international journal of pathology2023

The spectrum of nodular lymphocyte predominant Hodgkin lymphoma: a report of the lymphoma workshop of the 20th meeting of the European Association for Haematopathology.

Sylvia Hartmann, Stefan Dojcinov, Snjezana Dotlic, Sarah E Gibson, Eric D Hsi, Wolfram Klapper, Monika Klimkowska, Socorro Maria Rodriguez Pinilla, Julia Richter, Elena Sabattini and 2 more

Open access · hybridAbstract readReview
In one paragraph

Review in Virchows Archiv : an international journal of pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

12 authors at 10 institutions in 8 countries.

Sylvia HartmannDr. Senckenberg Institute of Pathology, Goethe University Frankfurt Am Main, Frankfurt Am Main, Germany.ORCID http://orcid.org/0000-0003-3424-1091
Stefan DojcinovDepartment of Pathology, Morriston Hospital, Swansea Bay University Health Board, Swansea, UK.ORCID http://orcid.org/0000-0003-3212-9995
Snjezana DotlicDept of Pathology and Cytology, University Hospital Centre Zagreb, Zagreb, Croatia.ORCID http://orcid.org/0000-0002-2036-9206
Sarah E GibsonDivision of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Phoenix, AZ, USA.ORCID http://orcid.org/0000-0003-2427-6442
Eric D HsiDepartment of Pathology, Wake Forest University School of Medicine, Winston-Salem, USA.ORCID http://orcid.org/0000-0001-8623-4067
Wolfram KlapperCampus Kiel, Department of Pathology, University Hospital Schleswig-Holstein, Hematopathology Section and Lymph Node Registry, Kiel, Germany.
Monika KlimkowskaDepartment of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital Huddinge, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3391-930X
Socorro Maria Rodriguez PinillaPathology Department, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain.ORCID http://orcid.org/0000-0002-2191-1327
Julia RichterCampus Kiel, Department of Pathology, University Hospital Schleswig-Holstein, Hematopathology Section and Lymph Node Registry, Kiel, Germany.
Elena SabattiniHaematopathology Unit, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy.ORCID http://orcid.org/0000-0002-4136-3591
Thomas TousseynDepartment of Imaging and Pathology and Translational Cell and Tissue Research Lab, Leuven, Belgium.ORCID http://orcid.org/0000-0002-0397-1086
Daphne de JongDept of Pathology, AmsterdamUMC, Location VUMC, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands. d.dejong2@amsterdamumc.nl.ORCID http://orcid.org/0000-0002-9725-4060
University Hospital Schleswig-Holstein · DEAmsterdam University Medical Centers · NLAzienda USL di Bologna · ITGoethe University Frankfurt · DEHospital Universitario Fundación Jiménez Díaz · ESKarolinska University Hospital · SEMayo Clinic Hospital · USSwansea Bay University Health Board · GBUniversity Hospital Centre Zagreb · HRWake Forest University · US

Funding

Deutsche Forschungsgemeinschaft HA6145/7-1
6 · The paper itself

Abstract

Session 4 of the 2021 European Association of Haematopathology/Society for Hematopathology Workshop focused on nodular lymphocyte predominant Hodgkin lymphoma (NLPHL). First, the spectrum of immunophenotypic variations in NLPHL and the defining criteria for classic Hodgkin Lymphoma (CHL) were discussed. The added value of further immunophenotypic characterization of both tumor cells and microenvironment to support the differential diagnosis was presented. Next, unusual cases with combined growth patterns and evolution of morphological features over time were presented to explore the clinicopathological impact of presumed high-risk patterns. Based on a large collection of cases, the defining morphological, immunophenotypical, and gene expression features of T-cell/histiocyte-rich large B-cell lymphoma (THRLBCL) and THRLBCL-like NLPHL (pattern E) were reviewed to explore this challenging differential diagnosis and critically evaluate whether aggressive behavior and transformation of NLPHL can be predicted in practice.

Indexed as

Hodgkin DiseaseLymphoma, Large B-Cell, DiffuseDiagnosis, DifferentialHumansImmunophenotypingT-LymphocytesTumor MicroenvironmentDiagnostic workshopGene expression profilingImmune microenvironmentNodular lymphocyte predominant Hodgkin LymphomaT-cell/histiocyte-rich large B-cell lymphoma

Identifiers

PMID37530790
PMCPMC10611620
OpenAlexW4385476821

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.