Evidence map›Paper›PMID 25013717›Full record

ArticleHematology reports2014

Multiparameter Flow Cytometry to Detect Hematogones and to Assess B-lymphocyte clonality in Bone Marrow Samples from Patients with Non-Hodgkin Lymphomas.

Giovanni Carulli, Virginia Ottaviano, Valentina Guerri, Stefano Giuntini, Paola Sammuri, Eugenio M Ciancia, Antonio Azzarà

Open access · goldAbstract read
In one paragraph

Article in Hematology reports, 2014. 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
0.4field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Giovanni CarulliDivision of Hematology, Department of Clinical and Experimental Medicine, Santa Chiara Hospital, University of Pisa , Italy.
Virginia OttavianoDivision of Hematology, Department of Clinical and Experimental Medicine, Santa Chiara Hospital, University of Pisa , Italy.
Valentina GuerriDivision of Hematology, Department of Clinical and Experimental Medicine, Santa Chiara Hospital, University of Pisa , Italy.
Stefano GiuntiniDivision of Hematology, Department of Clinical and Experimental Medicine, Santa Chiara Hospital, University of Pisa , Italy.
Paola SammuriDivision of Hematology, Department of Clinical and Experimental Medicine, Santa Chiara Hospital, University of Pisa , Italy.
Eugenio M CianciaSecond Division of Pathology, Pisa University Hospital , Italy.
Antonio AzzaràDivision of Hematology, Department of Clinical and Experimental Medicine, Santa Chiara Hospital, University of Pisa , Italy.
University of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematogones are precursors of B-lymphocytes detected in small numbers in the bone marrow. Flow cytometry is the most useful tool to identify hematogones and, so far, 4-color methods have been published. In addition, flow cytometry is used in the diagnosis and follow-up of lymphomas. We developed a flow cytometric 7-color method to enumerate hematogones and to assess B-lymphocyte clonality for routine purposes. We evaluated 171 cases of B-cell non-Hodgkin lymphomas, either at diagnosis or in the course of follow-up. By our diagnostic method, which was carried out by the combination K/λ/CD20/CD19/CD10/CD45/CD5, we were able to detect hematogones in 97.6% of samples and to distinguish normal B-lymphocytes, neoplastic lymphocytes and hematogones in a single step. The percentage of hematogones showed a significant inverse correlation with the degree of neoplastic infiltration and, when bone marrow samples not involved by disease were taken into consideration, resulted higher in patients during follow-up than in patients evaluated at diagnosis.

Indexed as

B-lymphocytesbone marrowhematogonesmultiparameter flow cytometrynon-Hodgkin lymphomas

Identifiers

PMID25013717
PMCPMC4091289
OpenAlexW1967436179

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.