Evidence map›Paper›PMID 40111101›Full record

ArticleCancer medicine2025

Comparison of Mortality Rates Between Patients With Diffuse Large B Cell Lymphoma Surviving 5 Years After Initial Diagnosis and a Matched General Population Cohort.

John Acquavella, Dóra Körmendiné Farkas, Henrik Toft Sørensen

Abstract readComparative Study
In one paragraph

Article in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

John AcquavellaDepartment of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-6455-9343
Dóra Körmendiné FarkasDepartment of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-8577-048X
Henrik Toft SørensenDepartment of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0003-4299-7040

Funding

Kite Pharma
6 · The paper itself

Abstract

aimTo determine whether mortality for patients with diffuse large B-cell lymphoma who survived 5 years (DLBCL5ys) returns thereafter to general population levels.

methodsThis population-based cohort study included Danish residents between January 1, 2000, and December 31, 2023. Information on diagnoses, comorbidities, and vital status came from Danish health and administrative registries. Analyses included 4164 DLBCL5yr patients-55% of incident patients-and 41,640 individuals from the general population matched 10:1 by exact birth year, sex, and the calendar year of achieving DLBCL5yr status. We used Cox proportional hazards models to compute matched mortality hazard ratios (HRs) and 95% confidence intervals (CIs) and controlled for comorbidities by adding Charlson comorbidity index scores to our models.

resultsMortality rates were elevated for DLBCL5yr patients soon after their 5-year survival date. The absolute difference in mortality was 20 deaths per 1000 person-years, and the HR adjusted for comorbidities was 1.5 (95% CI 1.4-1.6). Mortality was elevated similarly for men and women. The elevated mortality for DLBCL5yr patients varied in magnitude by age, calendar period, and comorbidity burden, and included excess mortality from DLBCL, cancers other than lymphoma, and respiratory diseases.

conclusionsWe found that mortality for DLBCL5yr patients did not return to general population levels.

Indexed as

Lymphoma, Large B-Cell, DiffuseAdultAgedAged, 80 and overCohort StudiesComorbidityDenmarkFemaleHumansMaleMiddle AgedProportional Hazards ModelsRegistriesYoung Adultcohort studylymphomasurvival

Identifiers

PMID40111101
PMCPMC11924275

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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.