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Record W2917865701

Neurocognition of patients on whole brain radiotherapy: A prospective study

2018· dissertation· en· W2917865701 on OpenAlexaboutno aff
M Rajesh

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicCancer-related cognitive impairment studies
Canadian institutionsnot available
Fundersnot available
KeywordsNeurocognitiveMedicineQuality of life (healthcare)Inclusion and exclusion criteriaCognitionCognitive declineRadiation therapyProspective cohort studyInformed consentDementiaPsychiatryInternal medicineAlternative medicineDiseasePathology
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: The greatest fear with the application of WBRT is the fear of neurocognitive decline. The main component of this WBRT related cognitive decline is the immediate and delayed verbal memory. But the decline in performance is seen in various other neurocognitive and executive function. Cognitive decline is said to be the main reason for poor quality of life. So we performed a prospective study on patients who were on WBRT and made an attempt to assess the correlation of WBRT on Neurocognition and quality of life. AIMS AND OBJECTIVES: 1. To study the neurocognitive change that can occur due to whole brain radiotherapy. 2. To measure the MMSE, MoCA, HVLT, and Trail making test scores of patients on WBRT. 3. To study the quality of life of the whole brain radiotherapy patients using Katz ADL, LBADL and WHO QOL Bref scales. METHODOLOGY: The study was conducted in Barnard institute of radiology, Madras Medical College. The abstract was presented before ethics committee and approval was obtained. The study was done from March 2017 to September 2017. Patients suffering from brain metastasis were chosen for study based on inclusion and exclusion criteria. A detailed informed consent was taken from the patient and then recruited for our study. Initially their IQ was measured with BKT. Later whole brain radiotherapy sessions were conducted and relevant data was collected for study. The relevant scales were applied thrice i.e. immediately after WBRT, 3 months and after 6 months. The collected data were analyzed using SPSS package and necessary results obtained. Inclusion criteria: 1. Age 40 to 70, 2. Ability to give informed consent, 3. Karnofsky performance status >70. Exclusion criteria: 1. Mental retardation (IQ < 70), 2. Known major psychiatric illness, 3. Patients on chemotherapy, 4. Past therapeutic radiation exposure to brain. Neurocognitive assessment tools: 1. Mini mental status examination, 2. Montreal cognitive assessment test, 3. Hopkins verbal learning test, 4. Activity of Daily Living Scale, 5. Binet Kamath Test, 6. WHO QOL Bref. RESULTS: A total of 43 subjects were selected for the study. After the analysis we found that MMSE scores had dropped in 3 and 6 months and there was significant drop from 0 months to 6 months [p=0.000] and from 3months to 6 months [p=0.008].Montreal cognitive assessment also showed that there is cognitive decline during 6 months of radiotherapy. On applying the Katz ADL and Lawton body instruments of daily living we could find the ability of the patient to perform daily activities dropped after radiotherapy. Next we applied the WHO QOL Bref scale to measure the patient’s quality of life in various domains and found a significant drop in scores over 6 months. CONCLUSION: At the present neurocognitive decline is an important concern for the patients undergoing WBRT for brain metastasis and tumors. But until today no treatment has demonstrated better efficacy than WBRT in managing the brain metastasis. WBRT has given the best response in terms of palliation in brain metastasis with significantly good overall survival. Thus it has been widely used until today in spite of known side effects.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.309
Teacher spread0.298 · 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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Citations0
Published2018
Admission routes1
Has abstractyes

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