Evidence map›Paper›PMID 39567446›Full record

ArticleEJNMMI research2024

Predicting survival, neurotoxicity and response in B-cell lymphoma patients treated with CAR-T therapy using an imaging features-based model.

Blanca Ferrer-Lores, Alfonso Ortiz-Algarra, Alfonso Picó-Peris, Alejandra Estepa-Fernández, Fuensanta Bellvís-Bataller, Glen J Weiss, Almudena Fuster-Matanzo, Juan Pedro Fernández, Ana Jimenez-Pastor, Rafael Hernani and 14 more

Abstract read
In one paragraph

Article in EJNMMI research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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.

Blanca Ferrer-LoresHematology Department, Hospital Clínico Universitario-INCLIVA, Valencia, Spain.
Alfonso Ortiz-AlgarraHematology Department, Hospital Clínico Universitario-INCLIVA, Valencia, Spain.
Alfonso Picó-PerisQuibim, Quantitative Imaging Biomarkers in Medicine, Av. d'Aragó, 30, Planta 13, 46021, Valencia, Spain.
Alejandra Estepa-FernándezQuibim, Quantitative Imaging Biomarkers in Medicine, Av. d'Aragó, 30, Planta 13, 46021, Valencia, Spain. alejandraestepa@quibim.com.ORCID http://orcid.org/0000-0002-1295-6304
Fuensanta Bellvís-BatallerQuibim, Quantitative Imaging Biomarkers in Medicine, Av. d'Aragó, 30, Planta 13, 46021, Valencia, Spain.
Glen J WeissQuibim, Quantitative Imaging Biomarkers in Medicine, New York, NY, USA.
Almudena Fuster-MatanzoQuibim, Quantitative Imaging Biomarkers in Medicine, Av. d'Aragó, 30, Planta 13, 46021, Valencia, Spain.
Juan Pedro FernándezQuibim, Quantitative Imaging Biomarkers in Medicine, Av. d'Aragó, 30, Planta 13, 46021, Valencia, Spain.
Ana Jimenez-PastorQuibim, Quantitative Imaging Biomarkers in Medicine, Av. d'Aragó, 30, Planta 13, 46021, Valencia, Spain.
Rafael HernaniHematology Department, Hospital Clínico Universitario-INCLIVA, Valencia, Spain.
Ana Saus-CarreresHematology Department, Hospital Clínico Universitario-INCLIVA, Valencia, Spain.
Ana BenzaquenHematology Department, Hospital Clínico Universitario-INCLIVA, Valencia, Spain.
Laura VenturaHematology Department, Hospital Clínico Universitario-INCLIVA, Valencia, Spain.
José Luis PiñanaHematology Department, Hospital Clínico Universitario-INCLIVA, Valencia, Spain.
Ana Belén TeruelHematology Department, Hospital Clínico Universitario-INCLIVA, Valencia, Spain.
Alicia Serrano-AlcaláHematology Department, Hospital Clínico Universitario-INCLIVA, Valencia, Spain.
Rosa DosdáRadiology Department, Hospital Clínico Universitario, Valencia, Spain.
Pablo Sopena-NovalesNuclear Medicine Department, Área Clínica de Imagen Médica, La Fe Hospital, Valencia, Spain.
Aitana Balaguer-RoselloHematology Department, Hospital Universitari i Politècnic La Fe, Valencia, Spain.
Manuel GuerreiroHematology Department, Hospital Universitari i Politècnic La Fe, Valencia, Spain.
Jaime SanzHematology Department, Hospital Universitari i Politècnic La Fe, Valencia, Spain.
Luis Martí-BonmatíRadiology Department, Área Clínica de Imagen Médica, La Fe Hospital, Valencia, Spain.
María José TerolHematology Department, Hospital Clínico Universitario-INCLIVA, Valencia, Spain.
Ángel Alberich-BayarriQuibim, Quantitative Imaging Biomarkers in Medicine, Av. d'Aragó, 30, Planta 13, 46021, Valencia, Spain.

Funding

Gilead Foundation GLD21/00088
6 · The paper itself

Abstract

backgroundThis multicentre retrospective observational study aims to develop imaging-based prognostic and predictive models for relapsed/refractory (R/R) B-cell lymphoma patients undergoing CAR-T therapy by integrating clinical data and imaging features. Specifically, our aim was to predict 3- and 6-month treatment response, overall survival (OS), progression-free survival (PFS), and the occurrence of the immune effector cell-associated neurotoxicity syndrome (ICANS).

resultsSixty-five patients of R/R B-cell lymphoma treated with CAR-T cells in two centres were included. Pre-infusion [

conclusionThis study successfully integrates imaging features and clinical variables to predict outcomes in R/R B-cell lymphoma patients undergoing CAR-T. Notably, the identified MTV

Indexed as

CAR-T cells therapyICANS predictionNon-Hodgkin lymphomaRadiomicsSurvival predictionTreatment response prediction

Identifiers

PMID39567446
PMCPMC11579271

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.