Is Helicobacter pylori infection a critical risk factor for vascular dementia?
Bibliographic record
Abstract
PURPOSE: The association of Helicobacter pylori (Hp) infection and Alzheimer's disease has widely been addressed, but no relative data exist regarding vascular dementia (VD). The purpose of this study was to evaluate the relationship between Hp infection and VD. MATERIAL AND METHOD: From January 2014 to March 2015, patients at Tai'an City Central Hospital who were diagnosed with VD were included. Patients were divided into Hp positive and Hp negative group using the (13)C-urea breath test ((13)C-UBT). Three inflammatory cytokines including interleukin-1 beta (IL-1β), interleukin-6 (IL-6) and tumor necrosis factor α (TNF-α) were detected. RESULTS: A total of 173 VD patients were included in the study. According to (13)C-UBT, 104 patients (60.1%) were Hp positive VD patients and 69 patients (39.9%) were Hp negative patients. No differences were found between Hp positive and Hp negative patients as regard to age, gender, body mass index, education level, hypertension, diabetes mellitus and hyperlipidemia (p > 0.05). Hp positive patients demonstrated significantly lower mean mini-mental state examination and Montreal cognitive assessment scores (p < 0.05) and higher plasma levels of IL-1β, IL-6 and TNF-α than Hp negative patients (p < 0.05). CONCLUSIONS: Hp infection might contribute, at least in part, to the cognitive decline in patients with VD, and play a critical role possibly through increasing expression of IL-1β, IL-6 and TNF-α.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".