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Record W4394663471

Clinical, genotypic and olfactory characteristics of patients with 11C ⁃ PIB ⁃ positive cognitive impairment

2020· article· en· W4394663471 on OpenAlexaboutno aff
Hui⁃hong ZHANG, Pan Wan, Yu⁃chao DOU, Yan Wang, Miao Zhang, Xiao⁃lin XU, Yuying Zhou

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsCognitive impairmentGenotypePsychologyCognitionAudiologyNeuroscienceMedicineBiologyGeneticsGene
DOInot available

Abstract

fetched live from OpenAlex

Background To summarize the clinical, genotype and olfactory characteristic in patients with 11 C⁃Pittsburgh compound B (11C⁃PIB)⁃positive cognitive impairment. Methods Twenty⁃seven patients with 11C ⁃ PIB ⁃ positive cognitive impairment, including 19 patients with Alzheimer's disease (AD) and 8 patients with mild cognitive impairment (MCI), were recruited from January 2015 to February 2016 in Tianjin Huanhu Hospital. The clinical, genotype and olfactory profiles were retrospectively analyzed. Mini ⁃ Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA) and Clock Drawing Test (CDT), Neuropsychiatric Inventory (NPI), Activity of Daily Living Scale (ADL), and Hamilton Depression Scale ⁃ 21 (HAMD ⁃ 21) were used to evaluate cognitive function, behavioral and psychological symptoms, activities of daily living, and symptoms of depression, respectively. Polymerase chain reaction ⁃ restriction fragment length polymorphism (PCR ⁃ RFLP) was used to determine ApoE genotype, and T & T olfactometer was used to test threshold of detection and recognition. Results Compared with MCI patients, AD patients had lower MMSE score (P = 0.000), orientation to time (P = 0.031), short ⁃ term memory (P = 0.021), recall (P = 0.009), calculation (p = 0.000), repetition (P = 0.038), reading (P = 0.021), writing (P = 0.002), visual ⁃ spatial ability (P = 0.039), MoCA score (P = 0.000) and CDT score (P = 0.020), and higher ADL score (P = 0.000). But there was no significant difference in orientation to place, naming, comprehension, NPI score and HAMD⁃21 score between 2 groups (P > 0.05, for all). There were no statistical differences in incidence of olfactory dysfunction, threshold of detection and recognition between 2 groups (P > 0.05, for all). There were statistical differences in the incidence of olfactory disorders among different ApoE genotypes Fisher's exact probability : P = 0.000). To further evaluate the effect of ApoE ε 4 allele on the olfactory function, subjects were additionally dichotomized according to the presence or absence of at least one ApoEε4 allele. Comparing with the subjects without ApoE ε 4 allele, the olfactory function decreased significantly in those with ApoE ε 4 allele (0/11 vs. 12/13; Fisher's exact probability : P = 0.000). Conclusions The patients with 11 C⁃PIB ⁃ positive cognitive impairment (AD and MCI) had significant olfactory isturbance, which was related to ApoE ε 4 allele. The assessment of clinical, genotype and olfactory characteristic was helpful in early diagnosis of AD patients. DOI:10.3969/j.issn.1672⁃6731.2020.05.013

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)0.000
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.279
GPT teacher head0.504
Teacher spread0.224 · 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
Published2020
Admission routes1
Has abstractyes

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