Evidence map›Paper›PMID 39424719›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Flow Cytometry for Non-Hodgkin and Hodgkin Lymphomas.

David Gajzer, Emily Glynn, David Wu, Jonathan R Fromm

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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.

David GajzerDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
Emily GlynnDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
David WuDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
Jonathan R FrommDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA. jfromm@uw.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiparametric flow cytometry is a powerful diagnostic tool that permits rapid assessment of cellular antigen expression to quickly provide immunophenotypic information suitable for disease classification. This chapter describes a general approach for the identification of abnormal lymphoid populations by flow cytometry, including B, T, NK, and Hodgkin lymphoma cells suitable for the clinical and research environment. Knowledge of the common patterns of antigen expression of normal lymphoid cells is critical to permit identification of abnormal populations at disease presentation and for minimal residual disease assessment. We highlight an overview of procedures for processing and immunophenotyping non-Hodgkin B- and T-cell lymphomas and also describe our strategy for the sensitive and specific diagnosis of classic Hodgkin lymphoma, nodular lymphocyte predominant Hodgkin lymphoma, and T-cell/histiocyte-rich large B-cell lymphoma.

Indexed as

Flow CytometryHodgkin DiseaseImmunophenotypingLymphoma, Non-HodgkinHumansB-cell lymphomaB cellsClonalityFlow cytometryHodgkin lymphomaLight chain restrictionT-cell lymphomaT-cell receptorT cellsV-beta repertoire analysis

Identifiers

PMID39424719

What OpenQuestion holds

Textmetadata
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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.