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Record W2052964454 · doi:10.3109/00207454.2010.520381

Phoshphodiesterase-5 Inhibitors: Novel Weapons Against Alzheimer's Disease?

2010· review· en· W2052964454 on OpenAlex
Behnam Sabayan, Nima Zamiri, Sara Farshchizarabi, Behrang Sabayan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Neuroscience · 2010
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhosphodiesterase function and regulation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDiseaseMedicineNeuroscienceSildenafilNeurogenesisAlzheimer's diseaseNeuropathic painBioinformaticsPharmacologyPsychologyInternal medicineBiology

Abstract

fetched live from OpenAlex

Although Alzheimer's disease (AD) poses a major health problem in both developing and developed countries, no definite treatment is available for its cure; hence efforts are being focused on introducing disease-modifying agents for slowing down its course. Recent studies on the effects of sildenafil on different organs have shown that PDE-5 inhibitors may offer new horizons in therapeutic treatment of pulmonary hypertension, multiple sclerosis, neuropathic pain, and age-related memory impairment. In this paper we introduce PDE-5 inhibitors as novel disease-modifying agents against AD and review the different impacts of PDE-5 inhibition on various pathogenic mechanisms leading to AD, including neuronal apoptosis, neurovascular dysfunction, neurotransmitter modulation, and impairment of neurogenesis.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.044
GPT teacher head0.339
Teacher spread0.295 · 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