Evidence map›Paper›PMID 37545104›Full record

Observational studyAnnals of clinical and translational neurology2023

Automated detection of immune effector cell-associated neurotoxicity syndrome via quantitative EEG.

Christine A Eckhardt, Haoqi Sun, Preeti Malik, Syed Quadri, Marcos Santana Firme, Daniel K Jones, Meike van Sleuwen, Aayushee Jain, Ziwei Fan, Jin Jing and 10 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Annals of clinical and translational neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

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

20 authors at 5 institutions in 1 country.

Christine A EckhardtDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.ORCID 0000-0002-5108-9143
Haoqi SunDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
Preeti MalikDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
Syed QuadriDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
Marcos Santana FirmeDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
Daniel K JonesDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
Meike van SleuwenDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
Aayushee JainDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
Ziwei FanDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
Jin JingDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
Wendong GeDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
Husain H DanishDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
Caron A JacobsonDana Farber Cancer Institute, Boston, Massachusetts, 02115, USA.
Daniel B RubinDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
Eyal Y KimchiDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
Sydney S CashDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
Matthew J FrigaultHarvard Medical School, Boston, Massachusetts, 02115, USA.
Jong Woo LeeHarvard Medical School, Boston, Massachusetts, 02115, USA.ORCID 0000-0001-5283-7476
Jorg DietrichDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
M Brandon WestoverDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, 02114, USA.
Harvard University · USBrigham and Women's Hospital · USBrigham Young University · 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
Data-Driven Sleep Biomarkers of Brain Health, Heart Health, and MortalityR01HL161253 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI CLIFFORD, GARI DAVID, MIGNOT, EMMANUEL J · 2022 to 2025
$8.3M
Investigation of Sleep in the Intensive Care Unit (ICU-SLEEP)R01NS102190 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$3.2M
Prospective Validation of Neurophysiologic Outcome Prediction in Acute Brain InjuryR01NS126282 · NINDS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Aaron F Struck, Michael Brandon Westover · 2023 to 2026
$2.9M
Big Data and Deep Learning for the Interictal-Ictal-Injury ContiuumR01NS107291 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$2.8M
Establishing a Brain Health Index from the Sleep ElectroencephalogramRF1NS120947 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S, THOMAS, ROBERT JOSEPH · 2021 to 2021
$2.4M
Determining optimal parameters for dynamic cholinergic modulation of associative learningK08MH116135 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KIMCHI, EYAL YAACOV · 2018 to 2021
$783k
NHLBI NIH HHS R01 HL161253NIMH NIH HHS K08 MH116135NINDS NIH HHS R01 NS102190NINDS NIH HHS R01 NS107291NINDS NIH HHS R01 NS126282NINDS NIH HHS R25 NS065743NINDS NIH HHS RF1 NS120947
6 · The paper itself

Abstract

objectiveTo develop an automated, physiologic metric of immune effector cell-associated neurotoxicity syndrome among patients undergoing chimeric antigen receptor-T cell therapy.

methodsWe conducted a retrospective observational cohort study from 2016 to 2020 at two tertiary care centers among patients receiving chimeric antigen receptor-T cell therapy with a CD19 or B-cell maturation antigen ligand. We determined the daily neurotoxicity grade for each patient during EEG monitoring via chart review and extracted clinical variables and outcomes from the electronic health records. Using quantitative EEG features, we developed a machine learning model to detect the presence and severity of neurotoxicity, known as the EEG immune effector cell-associated neurotoxicity syndrome score.

resultsThe EEG immune effector cell-associated neurotoxicity syndrome score significantly correlated with the grade of neurotoxicity with a median Spearman's R

interpretationThe EEG immune effector cell-associated neurotoxicity syndrome score possesses high criterion, construct, and predictive validity, which substantiates its use as a physiologic method to detect the presence and severity of neurotoxicity among patients undergoing chimeric antigen receptor T-cell therapy.

Indexed as

Receptors, Chimeric AntigenAdaptor Proteins, Signal TransducingElectroencephalographyHumansNeurotoxicity SyndromesRetrospective StudiesAdaptor Proteins, Signal Transducingcell-associated neurotoxicityReceptors, Chimeric Antigen

Identifiers

PMID37545104
PMCPMC10578889
OpenAlexW4385620623

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LicenceCC BY-NC-ND
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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.