Evidence map›Paper›PMID 36447041›Full record

ArticleOncology and therapy2023

Healthcare Resource Utilization and Associated Costs of German Patients with Diffuse Large B-Cell Lymphoma: A Retrospective Health Claims Data Analysis.

Peter Borchmann, Jan-Michel Heger, Jörg Mahlich, Michael S Papadimitrious, Sybille Riou, Barbara Werner

Open access · goldAbstract read
In one paragraph

Article in Oncology and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. Real-world patterns of healthcare use, costs, and survival in diffuse large B-cell lymphoma: a nationwide Swedish register study.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
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  7. Total costs of different lines of treatment in diffuse large B-cell lymphoma in Denmark - a real-world data analysis.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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  10. Review
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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

6 authors at 3 institutions in 1 country.

Peter BorchmannDepartment I of Internal Medicine, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), University of Cologne, Kerpener Str. 60, 50937, Cologne, Germany.
Jan-Michel HegerDepartment I of Internal Medicine, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), University of Cologne, Kerpener Str. 60, 50937, Cologne, Germany.
Jörg MahlichMiltenyi Biomedicine, Friedrich-Ebert-Straße 68, 51429, Bergisch Gladbach, Germany. joerg.mahlich@gmail.com.ORCID http://orcid.org/0000-0003-1110-2793
Michael S PapadimitriousMiltenyi Biomedicine, Friedrich-Ebert-Straße 68, 51429, Bergisch Gladbach, Germany.
Sybille RiouMiltenyi Biomedicine, Friedrich-Ebert-Straße 68, 51429, Bergisch Gladbach, Germany.
Barbara WernerTeam Gesundheit GmbH, Rellinghauser Str. 93, 45128, Essen, Germany.
Miltenyi Biotec (Germany) · DEUniversity of Cologne · DEDAK-Gesundheit (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiffuse large B-cell lymphoma (DLBCL) is the most common form of non-Hodgkin's lymphoma with increasing prevalence. Although the disease burden associated with DLBCL is high, only limited data on healthcare resource utilization (HCRU) and associated costs of German patients with DLBCL is available.

methodsUsing a large claims database of the German statutory health insurance with 6.7 million enrollees, we identified patients who were newly diagnosed with DLBCL between 2011 and 2018 (index date). Treatment lines were identified based on a predefined set of medication. HCRU and related costs were collected for the entire post index period and per treatment line.

resultsA total of 2495 incident DLBCL patients were eligible for the analysis. The average follow-up time after index was 41.7 months. During follow-up, 1991 patients started a first-line treatment, 868 a second-line treatment, and 354 a third-line treatment. Overall, patients spent on average (SD) 5.24 (6.17) days per month in hospital after index. While on anti-cancer treatment, this number increased to nine (10.9) in first-line, 8.7 (13.7) in second-line, and 9.4 (15.8) in third-line treatments. Overall costs per patient per month (PPPM) increased from €421 (875.70) before to €3695 (4652) after index. While on a treatment line, PPPM costs were €17,170 (10,246) in first-line, €13,362 (12,685) in second-line, and €12,112 (16,173) in third-line treatments. Time-unadjusted absolute costs sum up to €59,868 (43,331), €35,870 (37,387), and €28,832 (40,540) during first-line, second-line, and third-line treatments, respectively. The main cost drivers were hospitalizations (71% of total costs) and drug acquisition costs (18% of total costs).

conclusionsThe financial burden of DLBCL in Germany is high, mainly due to hospitalization and drug costs. Therefore, there is a high medical need for new cost-effective therapeutic options that can lower the disease burden and remain financially viable to support the growing number of patients with this aggressive disease.

Indexed as

Burden of illnessDLBCLGermanyHealthcare resource utilizationReal-world evidence

Identifiers

PMID36447041
PMCPMC9935789
OpenAlexW4310467709

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.