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Record W3035153062 · doi:10.3389/fnagi.2020.00184

Catecholamines in Alzheimer's Disease: A Systematic Review and Meta-Analysis

2020· review· en· W3035153062 on OpenAlexafffund
Xiongfeng Pan, Atipatsa Chiwanda Kaminga, Peng Jia, Shi Wu Wen, Kwabena Acheampong, Aizhong Liu

Bibliographic record

VenueFrontiers in Aging Neuroscience · 2020
Typereview
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersCanadian Institutes of Health ResearchCentral South University
KeywordsMeta-analysisWeb of scienceMedicineInternal medicineStrictly standardized mean differencePooled analysisNorepinephrineDiseaseEpinephrineDopaminePsychologyClinical psychology

Abstract

fetched live from OpenAlex

Background and Purpose: Previous studies found inconsistent results regarding the relationship between AD and catecholamines, such as dopamine (DA), norepinephrine (NE), and epinephrine (EPI). Our study performed a systematic review and meta-analysis to evaluate previous studies’ results on this relationship. Method: Literature retrieval of eligible studies was performed in 4 databases (Web of Science, PubMed, Embase, and Psyc-ARTICLES). Standardized mean differences (SMD) were calculated to assess differences in catecholamines between the AD groups and controls. Results: Thirteen studies met the eligibility criteria. Compared with the controls, significant lower levels of NE (SMD=-1.10, 95% CI: -2.01 to -0.18, p=0.019) and DA (SMD =-1.12, 95% CI: -1.88 to -0.37, p=0.003) concentrations were observed in patients with AD. No difference was found in EPI (SMD=-0.74, 95% CI: -1.85 to 0.37, p=0.189) between the two groups. Conclusion: Overall, these findings are in line with the hypothesis that reduced NE and DA may be an important indicator for AD. (Registration number CRD42018112816)

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.949
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0080.001
Bibliometrics0.0010.005
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.132
GPT teacher head0.385
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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations46
Published2020
Admission routes2
Has abstractyes

Explore more

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