Evidence map›Paper›PMID 36513818›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2023

Prognostic value of the International Metabolic Prognostic Index for lymphoma patients receiving chimeric antigen receptor T-cell therapy.

Michael Winkelmann, Viktoria Blumenberg, Kai Rejeski, Veit L Bücklein, Michael Ruzicka, Marcus Unterrainer, Christian Schmidt, Franziska J Dekorsy, Peter Bartenstein, Jens Ricke and 3 more

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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Trial
  4. BMC medical imaging · 2026
    Article
  5. Predictive value of maximum tumor dissemination (Dmax) in lymphoma patients treated with CD19-specific CAR T-Cells.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Clinical scoring systems, molecular subtypes and baseline [Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Review
  11. Article
  12. Article
  13. Mechanisms of the role of proto-oncogene activation in promoting malignant transformation of mature B cells.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Article
  14. PET/CT Biomarkers Enable Risk Stratification of Patients with Relapsed/Refractory Diffuse Large B-cell Lymphoma Enrolled in the LOTIS-2 Clinical Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  15. Semiquantitative 2-[Frontiers in medicine · 2024
    Review
  16. Article
  17. Review
  18. Review
  19. 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

13 authors.

Michael WinkelmannDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Viktoria BlumenbergLaboratory for Translational Cancer Immunology, Gene Center of the LMU Munich, Munich, Germany.
Kai RejeskiLaboratory for Translational Cancer Immunology, Gene Center of the LMU Munich, Munich, Germany.
Veit L BückleinLaboratory for Translational Cancer Immunology, Gene Center of the LMU Munich, Munich, Germany.
Michael RuzickaDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Marcus UnterrainerDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Christian SchmidtDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Franziska J DekorsyDepartment of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.
Peter BartensteinDepartment of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.
Jens RickeDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Michael von Bergwelt-BaildonDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Marion SubkleweLaboratory for Translational Cancer Immunology, Gene Center of the LMU Munich, Munich, Germany.
Wolfgang G KunzDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. wolfgang.kunz@med.lmu.de.

Funding

Förderung für Forschung und Lehre (FöFoLe) 1147
6 · The paper itself

Abstract

purposeChimeric antigen receptor T-cell therapy (CART) prolongs survival for patients with relapsed/refractory B-cell non-Hodgkin's lymphoma. The recently introduced International Metabolic Prognostic Index (IMPI) was shown to improve prognostication in the first-line treatment of large B-cell lymphoma. Here, we investigate the prognostic value of the IMPI for progression-free (PFS) and overall survival (OS) in the setting of CD19 CART.

methodsConsecutively treated patients with baseline

resultsThirty-nine patients were included. The IPI was 1 in 23%, 2 in 21%, 3 in 26%, 4 in 21%, and 5 in 10% of the patients. IMPI

conclusionIn the context of CART, the IMPI yielded prognostic value regarding PFS estimation. In contrast with IMPI in the first-line DLBCL setting, we did not observe a significant association of IMPI at baseline with OS after CART.

Indexed as

Lymphoma, Large B-Cell, DiffuseReceptors, Chimeric AntigenCell- and Tissue-Based TherapyFluorodeoxyglucose F18HumansPositron Emission Tomography Computed TomographyPrognosisRetrospective StudiesFluorodeoxyglucose F18Receptors, Chimeric Antigen18FDG PET/CTCAR T-cell therapyIMPIIPI

Identifiers

What OpenQuestion holds

Textmetadata
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.