Evidence map›Paper›PMID 31124124›Full record

ArticleBritish journal of haematology2019

Transformed mucosa-associated lymphoid tissue lymphomas: A single institution retrospective study including polymerase chain reaction-based clonality analysis.

Barbara Kiesewetter, Wolfgang Lamm, Werner Dolak, Julius Lukas, Marius E Mayerhoefer, Michael Weber, Ana-Iris Schiefer, Christoph Kornauth, Günther Bayer, Ingrid Simonitsch-Klupp and 1 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of haematology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Guideline
  2. Heterogeneity in primary gastrointestinal DLBCL: from clinical management to molecular mechanisms and treatment strategies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Imaging of head and neck mucosa-associated lymphoid tissue lymphoma (MALToma).Cancer imaging : the official publication of the International Cancer Imaging Society · 2021
    Review
  11. Review
  12. Review
  13. 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

11 authors at 1 institution in 1 country.

Barbara KiesewetterDepartment of Medicine I, Clinical Division of Oncology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-5490-2371
Wolfgang LammDepartment of Medicine I, Clinical Division of Oncology, Medical University of Vienna, Vienna, Austria.
Werner DolakDepartment of Medicine III, Clinical Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Julius LukasDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Marius E MayerhoeferDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Michael WeberDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Ana-Iris SchieferDepartment of Pathology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-3555-8672
Christoph KornauthDepartment of Pathology, Medical University of Vienna, Vienna, Austria.
Günther BayerDepartment of Pathology, Medical University of Vienna, Vienna, Austria.
Ingrid Simonitsch-KluppDepartment of Pathology, Medical University of Vienna, Vienna, Austria.
Markus RadererDepartment of Medicine I, Clinical Division of Oncology, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the lack of consistent data regarding the clinico-pathological features and clonal lymphomagenesis of patients with mucosa-associated lymphoid tissue (MALT) lymphoma and histological transformation (HT), we have systematically analysed 379 patients (32% gastric, 68% extra-gastric; median follow-up 52 months) diagnosed with HT at the Medical University Vienna 1999-2017, and reassessed tissues of identified patients by polymerase chain reaction (PCR)-based clonality analysis. HT was documented in 12/379 patients (3·2%) and occurred at a median time of 22 months (range; 6-202 months) after diagnosis of MALT lymphoma. By PCR-based clonality analysis, we detected a clear-cut clonal relationship of MALT lymphoma and diffuse large B-cell lymphoma (DLBCL) in 8 of 11 analysed cases proving that the large majority of DLBCL following MALT lymphoma are clonally-related and constitute a real transformation. Interestingly, HT occurred within the first 2·5 years after diagnosis in patients with clonal relationship, whereas time to aggressive lymphoma was longer in patients identified as clonally-unrelated (most likely secondary) lymphoma (82-202 months), suggesting that HT is an early event in this disease. Survival of patients with HT was poor with 6/12 dying at 1·5-33 months after HT, however, patients with localized gastric transformation had a superior outcome with only 1/6 dying due to progression of lymphoma.

Indexed as

AdultAgedAged, 80 and overDisease ProgressionFemaleHumansLymphoma, B-Cell, Marginal ZoneMaleMiddle AgedPolymerase Chain ReactionRetrospective StudiesYoung Adultclonality analysisdiffuse large B-cell lymphomahistological transformationindolent lymphomaMALT lymphoma

Identifiers

PMID31124124
PMCPMC6771836
OpenAlexW2946236626

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.