Evidence map›Paper›PMID 39354989›Full record

ArticleFrontiers in nuclear medicine2022

Ki67 Immunohistochemical Expression Level ≥70%, Bulky Presentation ≥7.5 cm, Meningeal Lymphomatosis, and Interim PET ΔSUVmax After 4 Treatment Cycles <71% as Parts of a Practical Scoring System to Predict Progression-Free Survival and Overall Survival in Diffuse Large B-Cell Lymphoma.

Vincent Rebière, Meriem Maajem, Ronan Le Calloch, Leela Raj, Anne-Sophie Le Bris, Mohamed Malou, François Salmon, Isabelle Quintin-Roué, Adrian Tempescul, David Bourhis and 7 more

Abstract read
In one paragraph

Article in Frontiers in nuclear medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

17 authors.

Vincent RebièreDepartment of Hematology, Brest University Hospital, Brest, France.
Meriem MaajemDepartment of Nuclear Medicine, Brest University Hospital, Brest, France.
Ronan Le CallochDepartment of Internal Medicine, Blood and Infectious Diseases, Cornouaille Hospital Center, Quimper, France.
Leela RajFaculty of Health Science, McMaster University, Hamilton, ON, Canada.
Anne-Sophie Le BrisDepartment of Internal Medicine, Michel Mazéas Hospital Center, Douarnenez, France.
Mohamed MalouDepartment of Hematology and Oncology, Morlaix Hospital Center, Morlaix, France.
François SalmonDepartment of Nuclear Medicine, Cornouaille Hospital Center, Quimper, France.
Isabelle Quintin-RouéDepartment of Anatomo-Pathology, Brest University Hospital, Brest, France.
Adrian TempesculDepartment of Hematology, Brest University Hospital, Brest, France.
David BourhisDepartment of Nuclear Medicine, Brest University Hospital, Brest, France.
Laura SamaisonDepartment of Anatomo-Pathology, Cornouaille Hospital Center, Quimper, France.
Hussam SaadDepartment of Hematology, Brest University Hospital, Brest, France.
Pierre-Yves SalaunDepartment of Nuclear Medicine, Brest University Hospital, Brest, France.
Christian BerthouDepartment of Hematology, Brest University Hospital, Brest, France.
Jean-Christophe IanottoDepartment of Hematology, Brest University Hospital, Brest, France.
Ronan AbgralDepartment of Nuclear Medicine, Brest University Hospital, Brest, France.
Jean-Richard EveillardDepartment of Hematology, Brest University Hospital, Brest, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, prognostic models in diffuse large B-cell lymphoma (DLBCL) fail to closely reflect patients' biological, clinical, and survival heterogeneity. We, therefore, assessed the impact of clinical, biological, immunohistochemical (IHC), baseline (0), and interim (after 2 and 4 treatment cycles) PET (PET0, PET2, and PET4) data not yet included in any scoring system on DLBCL outcome. The analysis was conducted on 89 previously untreated adult patients of the Finistere Observatory Cohort (O.Ly.Fin) with documented DLBCL, recruited between January 2010 and December 2017, with progression-free survival (PFS) and overall survival (OS) as primary and secondary endpoints, respectively. Seventy-eight patients were treated with rituximab, cyclophosphamide, hydroxyadriamycin, vincristine, and prednisone (R-CHOP), while 11 received R-dose-adjusted etoposide, prednisone, vincristine, cyclophosphamide, and hydroxyadriamycin (EPOCH). Patients were followed up until June 20, 2020. On multivariate analysis, Ki67 ≥ 70% on IHC (K), bulky presentation ≥7.5 cm (B), meningeal lymphomatosis (M), and PET0-PET4 ΔSUVmax <71% (P4) were identified as strong independent predictors of PFS, and all variables but bulky disease also strongly and independently predicted OS. Using these 4 parameters, we designed a scoring model named KBMP4 stratifying patients into low- (0 parameter), intermediate- (1 or 2), and high-risk (≥3) subgroups by the Kaplan-Meier analysis. At a median follow-up of 43 months, PFS and OS were both 100% in the low-risk subgroup, 71.4 and 90.5%, respectively, in the intermediate-risk subgroup, and 0 and 55.5%, respectively, in the high-risk subgroup. Use of the KBMP4 model in clinical practice may improve accuracy in prognostic prediction and treatment decisions in

Indexed as

bulkyDLBCLKi67meningeal lymphomaPET-CTscoring systemsurvival

Identifiers

PMID39354989
PMCPMC11440974

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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.