Evidence map›Paper›PMID 32452658›Full record

ArticleCancer medicine2020

Clinical and radiological characteristics of patients with pulmonary marginal zone lymphoma: A single center analysis.

Muhammad Husnain, Russ Kuker, Isildinha M Reis, Sunil Girish Iyer, Wei Zhao, Jennifer R Chapman, Francisco Vega, Izidore S Lossos, Juan Pablo Alderuccio

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. [Research Progress of Pulmonary Extranodal Marginal Zone Lymphoma].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2024
    Review
  7. Article
  8. Article
  9. Review
  10. Management of marginal zone lymphomas.Hematology. American Society of Hematology. Education Program · 2022
    Article
  11. Article
  12. 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

9 authors at 1 institution in 1 country.

Muhammad HusnainDivision of Hematology, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA.
Russ KukerDivision of Nuclear Medicine, Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA.
Isildinha M ReisDepartment of Public Health Science, University of Miami Miller School of Medicine, Miami, FL, USA.
Sunil Girish IyerDivision of Internal Medicine, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA.
Wei ZhaoBiostatistics and Bioinformatics Core Resource, University of Miami Miller School of Medicine, Miami, FL, USA.
Jennifer R ChapmanDivision of Hematopathology, Department of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL, USA.
Francisco VegaDivision of Hematopathology, Department of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL, USA.
Izidore S LossosDivision of Hematology, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA.ORCID 0000-0002-9346-9013
Juan Pablo AlderuccioDivision of Hematology, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA.ORCID 0000-0002-2690-3377
University of Miami · US

Funding

UM Calabresi Clinical Oncology Research Career Development AwardK12CA226330 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Alan Pollack · 2018 to 2026
$5.1M
Identify the Mechanisms of LMO2-Mediated Inhibition of Homologous Recombination and Establish PARP-Targeted Synthetic Lethality as a New Therapy for DLBCLR01CA233945 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI LOSSOS, IZIDORE S, VERDUN, RAMIRO ERNESTO · 2019 to 2023
$1.8M
NCI NIH HHS K12 CA226330NCI NIH HHS R01 CA233945
6 · The paper itself

Abstract

Pulmonary marginal zone lymphoma (PMZL) is the most common non-Hodgkin lymphoma affecting the lung. PMZL is usually an indolent disease. Clinical and radiological variables associated with shorter survival are largely unknown and no consensus exists on preferred treatment strategy in PMZL. Herein we aimed to identify clinical and radiological features associated with shorter survival and inferior treatment outcomes. Forty patients with PMZL were analyzed. FDG-avid disease was evident in most patients (93%) with staging PET/CT (n = 15). With a median follow-up in treated patients (n = 38) of 8.4 years (range 0.07-18.44), the median progression-free survival (PFS) and overall survival (OS) were 7.5 years (95% CI 1.8-9.5) and 15.7 years (95% CI 9.3-NE) respectively. Shorter PFS was observed in patients who presented at diagnosis with elevated LDH, B symptoms, advanced stage and failed to achieve complete response (CR) after initial treatment. Patients with multifocal lung disease, extrapulmonary MZL and cavitary lesions on CT scans exhibited shorter PFS. Nevertheless, no clinical or radiologic findings were associated with shorter OS. All patients treated with surgery (n = 4) and radiation therapy (n = 3) achieved and remained in CR. No higher grade transformations occurred during the follow-up period. PMZL exhibited excellent outcomes with a 15-year PMZL-related OS of 94.9% (95% CI: 81.25%-98.7%). Radiation therapy and surgery are potentially curative strategies in localized PMZL.

Indexed as

AdolescentAdultAgedAged, 80 and overDisease-Free SurvivalFemaleHumansLymphoma, B-Cell, Marginal ZoneMaleMiddle AgedTreatment OutcomeYoung AdultPulmonary marginal zone lymphomaradiographic findingstreatment outcomes

Identifiers

PMID32452658
PMCPMC7367627
OpenAlexW3028903917

What OpenQuestion holds

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LicenceCC BY
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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.