Evidence map›Paper›PMID 30194715›Full record

ArticleCancer cytopathology2018

Flow immunophenotyping of benign lymph nodes sampled by FNA: Representative with diagnostic pitfalls.

Gregory D Scott, Hubert D Lau, Jason H Kurzer, Christina S Kong, Dita A Gratzinger

Open access · hybridAbstract read
In one paragraph

Article in Cancer cytopathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
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  6. Global Cytopathology-Hematopathology Practice Trends.American journal of clinical pathology · 2022
    Article
  7. Article
  8. Article
  9. Fine Needle Aspirate Flow Cytometry's Ancillary Utility in Diagnosing Non-Hodgkin Lymphoma in the Head and Neck.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale
    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

5 authors at 1 institution in 1 country.

Gregory D ScottDepartment of Pathology, Stanford University School of Medicine, Stanford, California.
Hubert D LauDepartment of Pathology, Stanford University School of Medicine, Stanford, California.
Jason H KurzerDepartment of Pathology, Stanford University School of Medicine, Stanford, California.
Christina S KongDepartment of Pathology, Stanford University School of Medicine, Stanford, California.
Dita A GratzingerDepartment of Pathology, Stanford University School of Medicine, Stanford, California.
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFine-needle aspiration with flow cytometry (FNA-FC) is routinely used in the evaluation of lymph nodes suspicious for lymphoma, yet data comparing immunophenotype distributions and outliers in benign lymph nodes sampled by fine-needle aspiration (FNA) versus excision are lacking.

methodsFlow cytometry data from 289 benign lymph node FNA cases were assessed for the overall antigen distribution, with a focus on outliers relevant to the diagnosis of lymphoma. Distributions and outlier proportions were compared with those of a separate cohort of 298 excisional biopsies.

resultsCompared with excisional biopsies, FNA specimens overrepresented CD3+ events (72% vs 63%), underrepresented CD19+ events (22% vs 29%), and had 25% fewer large cell-gated events. Normalized antigen distributions in FNA were equivalent to those in excisional biopsy. Twenty-three percent of FNA-FC cases exhibited an outlier, including a skewed kappa:lambda light-chain ratio, increased CD5+ or CD10+ B-cell events, a skewed CD4:CD8 ratio, and increased CD7 loss on T cells, with no significant differences in frequency or type in comparison with excisional specimens. Outliers for the light-chain ratio and T-cell antigens were enriched among older patients and included patients with a variety of autoimmune/rheumatologic conditions.

conclusionsBenign lymph node FNA yields flow immunophenotypes remarkably similar to those from excisional biopsies. Outlier flow immunophenotypes are identified in benign lymph nodes sampled by FNA at a frequency similar to that with excisional biopsies. Older patients, who have a higher baseline risk of lymphoma, are more likely to exhibit lymphoma-mimicking outliers such as a light-chain predominance on B cells and skewed CD4:CD8 ratios or increased CD7 loss on T cells, and they warrant additional diagnostic caution.

Indexed as

AdultAgedAntigens, CDBiopsy, Fine-NeedleCohort StudiesFemaleFlow CytometryHumansImmunophenotypingLymphatic DiseasesLymph NodesMaleMiddle AgedAntigens, CDcytometrydistributionflowimmunophenotypeinformaticslymph nodeoutlier

Identifiers

PMID30194715
PMCPMC6221160
OpenAlexW2891367316

What OpenQuestion holds

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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.