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Record W4389219846 · doi:10.1182/blood-2023-190650

Neurocognitive Outcomes over the First 3 Months after Chimeric Antigen Receptor T-Cell (CAR T) Therapy: Preliminary Findings from a Longitudinal Study

2023· article· en· W4389219846 on OpenAlexaff
Samantha Mayo, Kim Edelstein, Lori J. Bernstein, Tiana Coley, Stacey Morrison, Abi Vijenthira, Manjula Maganti, John Kuruvilla, Michael Crump, Sita Bhella, Robert Kridel, Vishal Kukreti, Chloe Yang, Shabbir MH Alibhai, Christine Chen, Anca Prica

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicCancer-related cognitive impairment studies
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsNeurocognitiveNeuropsychologyVerbal learningVerbal memoryNeuropsychological assessmentMedicineCognitionTrail Making TestPsychologyCohortExecutive functionsRecallClinical psychologyPsychiatryInternal medicine

Abstract

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Introduction People treated with systemic therapies for cancer may exhibit changes in neurocognitive functioning over time, affecting domains such as memory, processing speed, and executive functioning. There is a need for prospective data regarding neurocognitive outcomes among patients treated with Chimeric Antigen Receptor T-Cell (CAR T) therapy. The purpose of this study was to investigate the trajectory of neurocognitive performance and self-reported cognitive functioning over the first 3 months of CAR T therapy. Methods As part of a larger cohort study of patients treated with CAR T, neurocognitive outcomes were assessed prior to starting CAR T and again at 1- and 3- months post-CAR T. Neurocognitive performance was measured using standardized neuropsychological tests including measures of verbal memory (Hopkins Verbal Learning Test-Revised (HVLT-R) - immediate recall, delayed recall, retention), processing speed (Trail-making Test - Part A (TMT-A)) and executive functioning (Trail-making Test Part B (TMT-B), Controlled Oral Word Association Test (COWAT)). Raw test scores were converted to z-scores (Mean 0, SD 1) based on norms adjusted for age, sex, and education, where applicable. Impairment on individual tests was defined by a z score ≤ -1.64. Participants were categorized as showing overall impairment if they had at least two tests with a z-score of ≤ -1.5 or a z-score ≤ -2.0 on one test. Self-reported cognitive functioning was measured using the Functional Assessment of Cancer Therapy - Cognition, Perceived Cognitive Impairment score (FACT-Cog3 PCI) and the European Organisation for Research and Treatment of Cancer - Quality of Life Questionnaire C-30, Cognitive Functioning scale (EORTC QLQ-C30 CF). Demographic and clinical data were collected through self-report and patient records. Frequencies of impairment were determined at each time point, with clinically significant changes on individual test scores in the first month determined based on z-score changes of ≥1.0 or minimal clinically important differences for self-report questionnaires. Linear mixed models were generated to estimate the trajectory of neurocognitive performance and self-reported cognitive functioning over time from baseline to 3 months. Results Neurocognitive outcomes were available for 37 participants at baseline, with follow-up data available for 29 patients at 1 month and 17 patients at 3 months. Participants were 54% male, had a mean age 58.4 years (sd 11.3) and a mean 15.5 years (sd 3.2) education. All patients had a diagnosis of non-Hodgkin lymphoma (53% diffuse large B-cell lymphoma (DLBCL), 31% transformed DLBCL from follicular lymphoma). Immune effector cell-associated neurotoxicity syndrome (ICANS) affected 32% of patients (5% Grade 4, 3% Grade 3, 8% Grade 2, 16% Grade 1). Cytokine release syndrome (CRS) affected 97% of patients (3% Grade 3, 76% Grade 2, 19% Grade 1). Frequency of overall impairment at each time point was 10/37 (27%) at baseline, 12/29 (41.4%) at 1 month, and 3/17 (17.6%) at 3 months. At each time point, impairment was most common on tests of executive functioning and memory. Based on individual test score changes between baseline and 1 month, rates of decline on individual tests of neurocognitive performance ranged from 11.5% (TMT-A) to 34.6% (COWAT). Decline on self-reported cognitive functioning was observed for 14.3% (FACT-Cog PCI) and 28.6% (EORTC QLQ-C30 CF) of participants. Based on mixed models (Table 1), there was a statistically significant decline in estimated mean z-scores on a test of executive function (COWAT: -0.52, 95% CI -0.89-(-0.16), p=0.007) at 1-month compared to baseline. At three months, there was a statistically significant improvement in estimated mean z-scores on memory (HVLT-R immediate recall: 0.56, 95% CI 0.11-1.01, p=0.017) and executive functioning (TMT-B: 0.87, 95% CI 0.17-1.57, p=0.019; COWAT: 0.68, 95% CI 0.19-1.16, p=0.009) compared to baseline. Conclusions Impairment is present in a subgroup of patients prior to starting CAR T therapy. Patients may demonstrate declines on performance-based measures and report worsening cognitive symptoms in the first month after CAR T therapy, but also improved performance in some domains by three months. Enrollment and long-term follow-up of patients in this study is ongoing. Future analyses will explore differences in trajectories among subgroups, such as those who have experienced ICANS and CRS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.275
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2023
Admission routes1
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