Evidence map›Paper›PMID 36450377›Full record

ArticleJournal for immunotherapy of cancer2022

Forecasting immune effector cell-associated neurotoxicity syndrome after chimeric antigen receptor t-cell therapy.

Yalda Amidi, Christine A Eckhardt, Syed A Quadri, Preeti Malik, Marcos Santana Firme, Daniel K Jones, Aayushee Jain, Husain H Danish, Daniel B Rubin, Caron A Jacobson and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the 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
3.2field-weighted citation impact, top 6% 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.

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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  20. Neurologic Complications of Cancer Immunotherapy.Current oncology (Toronto, Ont.) · 2023
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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

14 authors at 4 institutions in 1 country.

Yalda AmidiHarvard Medical School, Boston, Massachusetts, USA yamidi@mgh.harvard.edu.ORCID 0000-0001-6842-0034
Christine A EckhardtHarvard Medical School, Boston, Massachusetts, USA.
Syed A QuadriHarvard Medical School, Boston, Massachusetts, USA.
Preeti MalikHarvard Medical School, Boston, Massachusetts, USA.
Marcos Santana FirmeHarvard Medical School, Boston, Massachusetts, USA.
Daniel K JonesHarvard Medical School, Boston, Massachusetts, USA.
Aayushee JainDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Husain H DanishHarvard Medical School, Boston, Massachusetts, USA.
Daniel B RubinHarvard Medical School, Boston, Massachusetts, USA.
Caron A JacobsonDana-Farber Cancer Institute, Boston, Massachusetts, USA.
Sydney S CashHarvard Medical School, Boston, Massachusetts, USA.
Jong Woo LeeHarvard Medical School, Boston, Massachusetts, USA.
Jorg DietrichHarvard Medical School, Boston, Massachusetts, USA.
M Brandon WestoverHarvard Medical School, Boston, Massachusetts, USA.
Harvard University · USBrigham and Women's Hospital · USDana-Farber Cancer Institute · USMassachusetts General Hospital · US

Funding

Neuroscience Resident Research ProgramR25NS065743 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S, WILLIAMS, ZIV · 2009 to 2023
$11.8M
Integrative Motor Activity Biomarker for the Risk of Alzheimer's RiskRF1AG064312 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, KUN · 2019 to 2019
$3.6M
Multimodal Network Connectivity Architecture (MOCA) of the Brain and its Role in the Recovery of Consciousness in Comatose Cardiac Arrest PatientsR01NS102574 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI GREER, DAVID MATTHEW, WU, ONA · 2018 to 2022
$3.4M
Investigation of Sleep in the Intensive Care Unit (ICU-SLEEP)R01NS102190 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$3.2M
Big Data and Deep Learning for the Interictal-Ictal-Injury ContiuumR01NS107291 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$2.8M
Neuroscience Resident Research ProgramUE5NS065743 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI SYDNEY S CASH, Ziv Williams · 2024 to 2026
$2.6M
NIA NIH HHS RF1 AG064312NINDS NIH HHS R01 NS102190NINDS NIH HHS R01 NS102574NINDS NIH HHS R01 NS107291NINDS NIH HHS R25 NS065743NINDS NIH HHS UE5 NS065743
6 · The paper itself

Abstract

backgroundImmune effector cell-associated neurotoxicity syndrome (ICANS) is a clinical and neuropsychiatric syndrome that can occur days to weeks following administration chimeric antigen receptor (CAR) T-cell therapy. Manifestations of ICANS range from encephalopathy and aphasia to cerebral edema and death. Because the onset and time course of ICANS is currently unpredictable, prolonged hospitalization for close monitoring following CAR T-cell infusion is a frequent standard of care.

methodsThis study was conducted at Brigham and Women's Hospital from April 2015 to February 2020. A cohort of 199 hospitalized patients treated with CAR T-cell therapy was used to develop a combined hidden Markov model and lasso-penalized logistic regression model to forecast the course of ICANS. Model development was done using leave-one-patient-out cross validation.

resultsAmong the 199 patients included in the analysis 133 were male (66.8%), and the mean (SD) age was 59.5 (11.8) years. 97 patients (48.7%) developed ICANS, of which 59 (29.6%) experienced severe grades 3-4 ICANS. Median time of ICANS onset was day 9. Selected clinical predictors included maximum daily temperature, C reactive protein, IL-6, and procalcitonin. The model correctly predicted which patients developed ICANS and severe ICANS, respectively, with area under the curve of 96.7% and 93.2% when predicting 5 days ahead, and area under the curve of 93.2% and 80.6% when predicting the entire future risk trajectory looking forward from day 5. Forecasting performance was also evaluated over time horizons ranging from 1 to 7 days, using metrics of forecast bias, mean absolute deviation, and weighted average percentage error.

conclusionThe forecasting model accurately predicts risk of ICANS following CAR T-cell infusion and the time course ICANS follows once it has begun.Cite Now.

Indexed as

Neurotoxicity SyndromesReceptors, Chimeric AntigenCell- and Tissue-Based TherapyFemaleHumansImmunotherapy, AdoptiveLogistic ModelsMaleMiddle AgedReceptors, Chimeric AntigenAntigensCostimulatory and Inhibitory T-Cell ReceptorsImmunity, CellularReceptors, Chimeric Antigen

Identifiers

PMID36450377
PMCPMC9716920
OpenAlexW4310550890

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.