Evidence map›Paper›PMID 40291511›Full record

ArticleAdvances in radiation oncology2025

Outcomes of Primary Mediastinal B-cell Lymphoma Patients with Partial Metabolic Response: A Multicenter Retrospective Analysis.

Nattinee Wattakiyanon, Mahmood Aminilari, Xiang Y Ye, Ur Metser, Anca Prica, Michael Crump, John Kuruvilla, Vishal Kukreti, Robert Kridel, Abi Vijenthira and 6 more

Abstract read
In one paragraph

Article in Advances in radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

16 authors.

Nattinee WattakiyanonDepartment of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Mahmood AminilariDepartment of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Xiang Y YeDepartment of Biostatistics, Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.
Ur MetserJoint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Anca PricaDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Michael CrumpDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
John KuruvillaDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Vishal KukretiDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Robert KridelDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Abi VijenthiraDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Sita BhellaDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Matthew CheungOdette Cancer Centre, University of Toronto, Toronto, Ontario, Canada.
Thayalasuthan VivekanandanOdette Cancer Centre, University of Toronto, Toronto, Ontario, Canada.
Danielle RodinDepartment of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
May TsaoOdette Cancer Centre, University of Toronto, Toronto, Ontario, Canada.
David HodgsonDepartment of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Many patients with primary mediastinal B-cell lymphoma (PMBCL) achieve only a partial metabolic response (PMR) after initial systemic therapy. However, limited data exist on their outcomes. This study aimed to characterize outcomes in patients with PMBCL who achieve PMR and identify factors guiding appropriate treatment for these patients. Methods and Materials: We reviewed patients PMBCL patients treated at 2 independent cancer centers from January 2009 through September 2021. Using the modified Lugano criteria (2014), end-of-chemotherapy positron emission tomography (PET) scan results were evaluated to assess response. Progression-free survival (PFS) and overall survival (OS) rates from the end-of-chemotherapy PET scan date were estimated using the Kaplan-Meier method. Results: A total of 151 patients with PMBCL aged between 15 and 65 years were initiated on systemic therapy and underwent a fluorodeoxyglucose PET scan to evaluate response. Of these, 55 (36%) achieved incomplete metabolic response (IMR) (Deauville score [DS] 4 or 5): 13 (8%) progressed on systemic therapy (a DS score of 5), and 42 (27%) achieved a PMR (a DS score of 4). The 4-year PFS and OS rates for all patients (N = 55) with IMR were 73% and 72%, respectively. PMR management included consolidative radiation therapy (RT) in 36 patients (86%), further chemotherapy in 3 patients (7%), and observation in 3 patients (7%). Four-year PFS and OS among all patients with PMR were 83% and 81%, respectively, and 89% and 87% among those receiving RT. Patients with PMR with maximum standard unit value (SUVmax) > 5 had a lower 4-year PFS (74%) compared with those with SUVmax ≤ 5 (95%), although this difference did not achieve statistical significance ( Conclusions: Patients with PMBCL often have an IMR. PMR (a DS score of 4) managed with subsequent RT is associated with excellent outcomes. SUVmax may identify patients who may require more or less intensive treatment.

Identifiers

PMID40291511
PMCPMC12023749

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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.