Evidence map›Paper›PMID 22820658›Full record

ReviewApplied immunohistochemistry & molecular morphology : AIMM2013

Selective immunophenotyping for diagnosis of B-cell neoplasms: immunohistochemistry and flow cytometry strategies and results.

Scott D Boyd, Yasodha Natkunam, John R Allen, Roger A Warnke

Abstract readReview
In one paragraph

Review in Applied immunohistochemistry & molecular morphology : AIMM, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Diagnostic Concordance and Superiority of Flow Cytometry Over Immunohistochemistry in Acute Leukemia Immunophenotyping: A Single-Center Study.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
  3. Review
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  12. Review
  13. Article
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  15. Article
  16. Flow Cytometry of CD5-Positive Hairy Cell Leukemia.Molecular diagnosis & therapy · 2023
    Article
  17. Article
  18. Article
  19. Review
  20. 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.

Scott D BoydDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA. sboyd1@stanford.edu
Yasodha Natkunam
John R Allen
Roger A Warnke

Funding

TRIGGERING CELL DEATH IN B CELL LYMPHOMAP01CA034233 · NCI · STANFORD UNIVERSITY · PI FELSHER, DEAN W · 1985 to 2010
$19.5M
NCI NIH HHS P01 CA034233NCI NIH HHS P01CA034233
6 · The paper itself

Abstract

Determining the immunophenotype of hematologic malignancies is now an indispensable part of diagnostic classification, and can help to guide therapy, or to predict clinical outcome. Diagnostic workup should be guided by morphologic findings and evaluate clinically important markers, but ideally should avoid the use of overly broad panels of immunostains that can reveal incidental findings of uncertain significance and give rise to increased costs. Here, we outline our approach to diagnosis of B-cell neoplasms, combining histologic and clinical data with tailored panels of immunophenotyping reagents, in the context of the 2008 World Health Organization classification. We present data from cases seen at our institution from 2004 through 2008 using this approach, to provide a practical reference for findings seen in daily diagnostic practice.

Indexed as

ImmunophenotypingAntigens, CDBiomarkers, TumorB-LymphocytesBone MarrowFlow CytometryGene ExpressionHumansImmunohistochemistryLeukemiaLymphoma, B-CellNeoplasm GradingNeoplasm ProteinsPrognosisAntigens, CDBiomarkers, TumorNeoplasm Proteins

Identifiers

PMID22820658
PMCPMC4993814

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Registered trials

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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.