Evidence map›Paper›PMID 30881137›Full record

ArticleClinical epidemiology2019

Treatment intensity and survival in patients with relapsed or refractory diffuse large B-cell lymphoma in Denmark: a real-life population-based study.

Bente Arboe, Maja Halgren Olsen, Jette Sønderskov Gørløv, Anne Katrine Duun-Henriksen, Susanne Oksbjerg Dalton, Christoffer Johansen, Peter de Nully Brown

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Clinical epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05786989 (Selinexor Combined With R-GemOx as Second-line Treatment in Patients With Diffuse Large B-cell Lymphoma: a Single-arm, Single-centre, Open-label Trial), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 14% 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.

NCT05786989 phase4unknown statusnot on this mapstarted 2023, after this paper: background citation

Selinexor Combined With R-GemOx as Second-line Treatment in Patients With Diffuse Large B-cell Lymphoma: a Single-arm, Single-centre, Open-label Trial

TypeinterventionalSponsorChongqing University Cancer HospitalRan2023 to 2024Enrolled32ConditionsDiffuse Large B-Cell Lymphoma, Not Otherwise SpecifiedArmsselinexor
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Challenges in Administering Salvage Therapy and Outcomes of Relapsed/Refractory Diffuse Large B-Cell Lymphoma Patients: A LMIC Real-World Study.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
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

7 authors at 3 institutions in 1 country.

Bente ArboeDepartment of Hematology, Copenhagen University Hospital, Copenhagen, Denmark, bentearboe@hotmail.com.
Maja Halgren OlsenSurvivorship, The Danish Cancer Society Research Center, Copenhagen, Denmark, bentearboe@hotmail.com.
Jette Sønderskov GørløvDepartment of Hematology, Copenhagen University Hospital, Copenhagen, Denmark, bentearboe@hotmail.com.
Anne Katrine Duun-HenriksenStatistics and Pharmacoepidemiology, The Danish Cancer Society Research Center, Copenhagen, Denmark.
Susanne Oksbjerg DaltonSurvivorship, The Danish Cancer Society Research Center, Copenhagen, Denmark, bentearboe@hotmail.com.
Christoffer JohansenSurvivorship, The Danish Cancer Society Research Center, Copenhagen, Denmark, bentearboe@hotmail.com.
Peter de Nully BrownDepartment of Hematology, Copenhagen University Hospital, Copenhagen, Denmark, bentearboe@hotmail.com.
Copenhagen University Hospital · DKDanish Cancer Society · DKZealand University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHigh-dose chemotherapy with autologous stem cell transplantation (ASCT) is considered to be the only curative treatment option for patients with refractory or relapsed diffuse large B-cell lymphoma (DLBCL). Due to toxicity, not all patients are eligible for this treatment leading to different treatment intensities. Here, we aim to analyze the impact of treatment intensity on survival in patients previously treated with rituximab and chemotherapy, and, furthermore, to analyze the association between socioeconomic position and treatment intensity, defined as palliation, non-salvage, and salvage regimens. MATERIALS AND

methodsWe identified patients with refractory or relapsed DLBCL diagnosed in 2000-2015 in the Danish National Lymphoma Registry (n=1,228). We analyzed the impact of treatment intensity on survival in patients previously treated with rituximab (n=277) using a Cox proportional hazards model. Multinomial regression analyses were performed to identify associations between socioeconomic factors and treatment intensity for the entire cohort.

resultsIn the rituximab era, the 5-year overall survival (OS) was 31% for patients receiving salvage regimens (n=194), and 17% for patients receiving non-salvage regimens (n=83). In the adjusted analysis, HR was 1.88, 95% CI: 0.9-3.9 for patients receiving salvage regimens. Patients living alone were significantly less likely to receive salvage regimens, as were patients with two or more comorbidities.

conclusionWe observed a better OS in patients treated with salvage regimens compared with non-salvage regimens; however, the adjusted analysis contradicts this. Furthermore, our results indicate that there is a chance of remission for patients not eligible for ASCT.

Indexed as

chemotherapyeducationepidemiologyincomenon-Hodgkin lymphomasocioeconomic statusstem cell transplantation

Identifiers

PMID30881137
PMCPMC6407517
OpenAlexW2919538398

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.