Evidence map›Paper›PMID 31388760›Full record

ArticleVirchows Archiv : an international journal of pathology2019

A practical algorithmic approach to mature aggressive B cell lymphoma diagnosis in the double/triple hit era: selecting cases, matching clinical benefit : A position paper from the Italian Group of Haematopathology (G.I.E.).

Arianna Di Napoli, D Remotti, C Agostinelli, M R Ambrosio, S Ascani, A Carbone, F Facchetti, S Lazzi, L Leoncini, M Lucioni and 8 more

Erratum issuedAbstract readConsensus Statement
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
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  8. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Arianna Di NapoliPathology Unit, Department of Clinical and Molecular Medicine, Sant'Andrea Hospital, Sapienza University, Via di Grottarossa 1035, 00189, Rome, Italy. arianna.dinapoli@uniroma1.it.ORCID http://orcid.org/0000-0002-3159-5380
D RemottiPathology Unit, San Camillo-Forlanini Hospital, Rome, Italy.
C AgostinelliHematopathology Unit, S. Orsola University Hospital, Bologna, Italy.
M R AmbrosioPathology Unit, Department of Medical Biotechnology, University of Siena, Siena, Italy.
S AscaniPathology Unit, Ospedale di Terni, University of Perugia, Terni, Italy.
A CarboneDepartment of Pathology, Centro di Riferimento Oncologico di Aviano, Istituto di Ricovero e Cura a Carattere Scientifico, Aviano, Italy.
F FacchettiPathology Section, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
S LazziPathology Unit, Department of Medical Biotechnology, University of Siena, Siena, Italy.
L LeonciniPathology Unit, Department of Medical Biotechnology, University of Siena, Siena, Italy.
M LucioniPathology Unit, University of Pavia and Fondazione IRCCS San Matteo Policlinico, Pavia, Italy.
D NoveroDepartment of Oncology, University of Turin and Pathology Unit, AOU Città della Salute e della Scienza, Turin, Italy.
S PileriDivision of Haematopathology, European Institute of Oncology, Milan, Italy.
M PonzoniAteneo Vita-Salute, Pathology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
E SabattiniHematopathology Unit, S. Orsola University Hospital, Bologna, Italy.
C TripodoTumor Immunology Unit, Department of Health Sciences, University of Palermo, Palermo, Italy.
A ZamòDepartment of Oncology, University of Turin and Pathology Unit, AOU Città della Salute e della Scienza, Turin, Italy.
M PaulliPathology Unit, University of Pavia and Fondazione IRCCS San Matteo Policlinico, Pavia, Italy.
L RucoPathology Unit, Department of Clinical and Molecular Medicine, Sant'Andrea Hospital, Sapienza University, Via di Grottarossa 1035, 00189, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An accurate diagnosis of clinically distinct subgroups of aggressive mature B cell lymphomas is crucial for the choice of proper treatment. Presently, precise recognition of these disorders relies on the combination of morphological, immunophenotypical, and cytogenetic/molecular features. The diagnostic workup in such situations implies the application of costly and time-consuming analyses, which are not always required, since an intensified treatment option is reasonably reserved to fit patients. The Italian Group of Haematopathology proposes herein a practical algorithm for the diagnosis of aggressive mature B cell lymphomas based on a stepwise approach, aimed to select cases deserving molecular analysis, in order to optimize time and resources still assuring the optimal management for any patient.

Indexed as

AlgorithmsHumansImmunophenotypingIn Situ Hybridization, FluorescenceLymphoma, B-CellDiagnosisDLBCLDouble hitFISHHGBLMYC

Identifiers

PMID31388760
PMCPMC6828632

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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.