Evidence map›Paper›PMID 36044385›Full record

ArticleBlood advances2022

A tumor volume and performance status model to predict outcome before treatment in diffuse large B-cell lymphoma.

Catherine Thieblemont, Loic Chartier, Ulrich Dührsen, Umberto Vitolo, Sally F Barrington, Jan M Zaucha, Laetitia Vercellino, Maria Gomes Silva, Ines Patrocinio-Carvalho, Pierre Decazes and 14 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Blood advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01122472 (Double Blind Randomized Phase III Study of Lenalidomide Maintenance Versus Placebo in Responding Elderly Patients With DLBCL and Treated With R-CHOP in First Line), which is not on this map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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.

NCT01122472 phase3completednot on this map

Double Blind Randomized Phase III Study of Lenalidomide Maintenance Versus Placebo in Responding Elderly Patients With DLBCL and Treated With R-CHOP in First Line

TypeinterventionalSponsorThe Lymphoma Academic Research OrganisationRan2009 to 2019Enrolled650ConditionsLymphoma, Diffuse Large B-cell LymphomaArmsLenalidomide, Placebo
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Validation of an AI Method for Automated Lymphoma Metabolic Tumor Volume Segmentation Using a Public Benchmark PET/CT Dataset.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Clinical scoring systems, molecular subtypes and baseline [Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Review
  15. International Benchmark for Total Metabolic Tumor Volume Measurement in BaselineJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  16. Article
  17. IsJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  18. Tumor Location Relative to the Spleen Is a Prognostic Factor in Lymphoma Patients: A Demonstration from the REMARC Trial.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  19. 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
  20. 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

24 authors at 15 institutions in 8 countries.

Catherine ThieblemontHémato-oncologie, Université de Paris, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France.ORCID 0000-0002-9941-2448
Loic ChartierStatistique, Lymphoma Academic Research Organisation, Piérre-Benite, France.
Ulrich DührsenHematology, Universitätsklinikum Essen, Essen, Germany.
Umberto VitoloMultidisciplinary Oncology Outpatient Clinic, Candiolo Cancer Institute, Fondazione del Piemonte per l'Oncologia Istituto di Ricovero e Cura a Carattere Scientifico, Candiolo, Italy.ORCID 0000-0001-7772-2747
Sally F BarringtonKing's College London & Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.ORCID 0000-0002-2516-5288
Jan M ZauchaPoland and Polish Lymphoma Research Group, Medical University of Gdańsk, Gdańsk, Poland.
Laetitia VercellinoMedecine Nucléaire, Hôpital Saint-Louis, AP-HP, Paris, France.
Maria Gomes SilvaHematology, Instituto Português de Oncologia de Lisboa (IPO Lisboa), Lisboa, Portugal.ORCID 0000-0002-6993-2450
Ines Patrocinio-CarvalhoNuclear Medecin, IPO Lisboa, Lisbon, Portugal.ORCID 0000-0003-2523-4754
Pierre DecazesMedecine Nucléaire, Centre Henri Becquerel, Rouen, France.ORCID 0000-0001-5323-9910
Pierre-Julien ViaillyInstitut National de la Sante et de la Recherche Medicale U1245, Centre Henri Becquerel, Rouen, France.
Herve TillyInstitut National de la Sante et de la Recherche Medicale U1245, Centre Henri Becquerel, Rouen, France.
Alina Berriolo-RiedingerMedecine Nucléaire, Centre Hospitalier Universitaire (CHU) le Bocage, Dijon, France.ORCID 0000-0003-0771-7824
Oliver CasasnovasHématologie, CHU le Bocage, Dijon, France.ORCID 0000-0002-1156-8983
Andreas HüttmannHematology, Universitätsklinikum Essen, Essen, Germany.ORCID 0000-0003-2230-3873
Hajira IlyasKing's College London & Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
N George MikhaeelDepartment of Clinical Oncology, Guy's & St Thomas' NHS Foundation Trust, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom.ORCID 0000-0003-0359-0328
Joel DunnKing's College London & Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Anne-Ségolène CottereauMedecine Nucléaire, Hôpital Cochin, AP-HP, Paris, France.
Christine SchmitzHematology, Universitätsklinikum Essen, Essen, Germany.
Lale KostakogluRadiology and Medical Imaging, University of Virginia, Charlottesville, VA.
Joseph N PaulsonDepartment of Biostatistics, Genentech Inc, South San Francisco, CA.
Tina NielsenF. Hoffmann-La Roche Ltd, Basel, Switzerland.
Michael MeignanLymphoma Study Association-Image Platform, Hôpital Henri Mondor, Créteil, France.
King's College London · GBEssen University Hospital · DEInserm · FRAssistance Publique – Hôpitaux de Paris · FRCandiolo Cancer Institute · ITCentre Henri BecquerelCHU Dijon Bourgogne · FRGdańsk Medical University · PLHôpital Cochin · FRIPO Porto · PTLymphoma Study Association · FRRoche (Switzerland) · CHThe Lymphoma Academic Research Organisation · FRUniversité Paris Cité · FRUniversity of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aggressive large B-cell lymphoma (LBCL) has variable outcomes. Current prognostic tools use factors for risk stratification that inadequately identify patients at high risk of refractory disease or relapse before initial treatment. A model associating 2 risk factors, total metabolic tumor volume (TMTV) >220 cm3 (determined by fluorine-18 fluorodeoxyglucose positron emission tomography coupled with computed tomography) and performance status (PS) ≥2, identified as prognostic in 301 older patients in the REMARC trial (#NCT01122472), was validated in 2174 patients of all ages treated in 2 clinical trials, PETAL (Positron Emission Tomography-Guided Therapy of Aggressive Non-Hodgkin Lymphomas; N = 510) and GOYA (N = 1315), and in real-world clinics (N = 349) across Europe and the United States. Three risk categories, low (no factors), intermediate (1 risk factor), and high (2 risk factors), significantly discriminated outcome in most of the series. Patients with 2 risk factors had worse outcomes than patients with no risk factors in the PETAL, GOYA, and real-world series. Patients with intermediate risk also had significantly worse outcomes than patients with no risk factors. The TMTV/Eastern Cooperative Oncology Group-PS combination outperformed the International Prognostic Index with a positive C-index for progression-free survival and overall survival in most series. The combination of high TMTV > 220 cm3 and ECOG-PS ≥ 2 is a simple clinical model to identify aggressive LBCL risk categories before treatment. This combination addresses the unmet need to better predict before treatment initiation for aggressive LBCL the patients likely to benefit the most or not at all from therapy.

Indexed as

Lymphoma, Large B-Cell, DiffuseClinical Trials as TopicHumansNeoplasm Recurrence, LocalTumor Burden

Identifiers

PMID36044385
PMCPMC9691911
OpenAlexW4293787090

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.