Evidence map›Paper›PMID 38627450›Full record

ArticleBone marrow transplantation2024

Development and validation of an automated computational approach to grade immune effector cell-associated hematotoxicity.

Emily C Liang, Kai Rejeski, Teng Fei, Aya Albittar, Jennifer J Huang, Andrew J Portuguese, Qian Wu, Sandeep Raj, Marion Subklewe, Roni Shouval and 1 more

Erratum issuedAbstract readValidation Study
In one paragraph

Article in Bone marrow transplantation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  10. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Emily C Liang *Fred Hutchinson Cancer Center, Seattle, WA, USA. ecliang@uw.edu.ORCID http://orcid.org/0000-0001-5790-4770
Kai Rejeski *Adult Bone Marrow Transplantation and Cellular Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Teng FeiDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Aya AlbittarFred Hutchinson Cancer Center, Seattle, WA, USA.
Jennifer J HuangFred Hutchinson Cancer Center, Seattle, WA, USA.
Andrew J PortugueseFred Hutchinson Cancer Center, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-1010-4578
Qian WuFred Hutchinson Cancer Center, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-2292-4816
Sandeep RajAdult Bone Marrow Transplantation and Cellular Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Marion SubkleweDepartment of Medicine III - Hematology/Oncology, LMU University Hospital, LMU Munich, Munich, Germany.ORCID http://orcid.org/0000-0001-9154-9469
Roni Shouval *Adult Bone Marrow Transplantation and Cellular Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jordan Gauthier *Fred Hutchinson Cancer Center, Seattle, WA, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
RESEARCH TRAINING IN HEMATOLOGYT32HL007093 · NHLBI · UNIVERSITY OF WASHINGTON · PI Janis L Abkowitz · 1985 to 2026
$13.9M
A multimodal approach for precision immuno-oncology in lymphoma treated with CAR-T cellsK08CA282987 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Roni Shouval · 2023 to 2026
$1.1M
NCI NIH HHS K08 CA282987NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA015704NHLBI NIH HHS T32 HL007093U.S. Department of Health & Human Services | National Institutes of Health (NIH) 5T32CA951539U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) P30 CA15704U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) 5T32HL007093
6 · The paper itself

Abstract

Hematologic toxicity frequently complicates chimeric antigen receptor (CAR) T-cell therapy, resulting in significant morbidity and mortality. In an effort to standardize reporting, the European Hematology Association (EHA) and European Society of Blood and Marrow Transplantation (EBMT) devised the immune effector cell-associated hematotoxicity (ICAHT) grading system, distinguishing between early (day 0-30) and late (after day +30) events based on neutropenia depth and duration. However, manual implementation of ICAHT grading criteria is time-consuming and susceptible to subjectivity and error. To address these challenges, we introduce a novel computational approach, utilizing the R programming language, to automate early and late ICAHT grading. Given the complexities of early ICAHT grading, we benchmarked our approach both manually and computationally in two independent cohorts totaling 1251 patients. Our computational approach offers significant implications by streamlining grading processes, reducing manual time and effort, and promoting standardization across varied clinical settings. We provide this tool to the scientific community alongside a comprehensive implementation guide, fostering its widespread adoption and enhancing reporting consistency for ICAHT.

Indexed as

Immunotherapy, AdoptiveHumans

Identifiers

PMID38627450
PMCPMC11380036

What OpenQuestion holds

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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.