Evidence map›Paper›PMID 40596523›Full record

ArticleScientific reports2025

Risk and clinical implications of histological transformation in extranodal marginal zone B-cell lymphoma of mucosa-associated lymphoid tissue: A population-based analysis.

Yujie He, Chengwen Gao

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Article
  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

2 authors.

Yujie HeMedical Research Center, The Affiliated Hospital of Qingdao University, Qingdao, Shangdong, 266000, China.
Chengwen GaoMedical Research Center, The Affiliated Hospital of Qingdao University, Qingdao, Shangdong, 266000, China. gaochengwen@qdu.edu.cn.

Funding

Natural Science Foundation of Shandong Province ZR2020QH321
6 · The paper itself

Abstract

Extranodal marginal zone B-cell lymphoma of mucosa-associated lymphoid tissue (MALT) is the third most prevalent subtype of mature B-cell lymphomas. While MALT lymphoma typically has a favorable prognosis, the outlook can worsen dramatically if histological transformation (HT) occurs, usually into a more aggressive form like diffuse large B-cell lymphoma (DLBCL). Large-scale study with long-term follow-up specifically focused on the transformation of MALT lymphoma is limited. This study utilized the SEER database to analyze 20,944 patients diagnosed with MALT lymphoma from 2000 to 2020. We also included a cohort of de novo DLBCL patients for comparison. Our findings showed that HT occurred in 1.59% of MALT lymphoma cases, with 5- and 10-year cumulative incidences of 1.2% and 2.2%, respectively. Patients presenting with B symptoms, age ≥ 60, and advanced-stage disease were at a significantly higher risk for HT. The median time to transformation was 3.67 years. Both univariate and multivariate analyses demonstrated that age ≥ 60 was a significant adverse factor for lymphoma-specific survival (LSS) and overall survival (OS) following HT. This population-based study contributes to the characterization of transformation risk and outcomes in MALT lymphoma and may help inform clinical surveillance strategies.

Indexed as

Cell Transformation, NeoplasticLymphoma, B-Cell, Marginal ZoneLymphoma, Large B-Cell, DiffuseAdultAgedAged, 80 and overFemaleHumansIncidenceMaleMiddle AgedPrognosisRisk FactorsSEER ProgramYoung AdultHistological transformation (HT)MALT lymphomaPopulation-based analysisPrognostic factors

Identifiers

PMID40596523
PMCPMC12215512

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.