Evidence map›Paper›PMID 20473767›Full record

ArticleVirchows Archiv : an international journal of pathology2010

High content of Langerhans cells in malignant lymphoma--incidence and significance.

Daniel Benharroch, Gali Guterman, Itai Levy, Ruthy Shaco-Levy

Abstract read
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In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Histiocytic and dendritic cell neoplasms: what have we learnt by studying 67 cases.Virchows Archiv : an international journal of pathology · 2017
    Article
  4. Review
  5. Article
  6. 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

4 authors at 1 institution in 1 country.

Daniel BenharrochDepartment of Pathology, Soroka University Medical Center and Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel. benaroch@bgu.ac.il
Gali Guterman
Itai Levy
Ruthy Shaco-Levy
Ben-Gurion University of the Negev · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe 25 patients, 14 with classical Hodgkin lymphoma and 11 with non-Hodgkin lymphoma, in all of whom an excess of Langerhans cells was evident. Except for the first three cases, in which the excess of Langerhans cells was identified on routine slides, the remaining cases were disclosed by actively investigating lymphomas with excess of CD68+ histiocytes and performing CD1a and S-100 protein immunostains. Although no clonality study was performed on the Langerhans cells, we endorse the view which states that in the above association, the Langerhans cells are polyclonal. Fourteen cases of Hodgkin lymphoma with a large number of Langerhans cells were identified in a cohort of 231 classical Hodgkin lymphomas. We compared the features of classical Hodgkin lymphoma with abundant Langerhans cells with those without Langerhans cells. Our analysis reveals that Hodgkin lymphoma with Langerhans cell excess shows greater LMP1/EBV expression (P = .007) and lower p53 expression (P = .042) in the Hodgkin-Reed-Sternberg cells but is not associated with a poorer outcome.

Indexed as

AdolescentAdultAgedAge of OnsetAntigens, CDAntigens, Differentiation, MyelomonocyticCD68 MoleculeChildChild, PreschoolFemaleHodgkin DiseaseHumansImmunohistochemistryIncidenceLangerhans CellsLymphoma, Non-HodgkinAntigens, CDAntigens, Differentiation, MyelomonocyticCD68 antigen, humanCD68 Molecule

Identifiers

PMID20473767
OpenAlexW2015075278

What OpenQuestion holds

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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.