CARDIOVASCULAR REPERCUSSIONS RESULTING FROM THE USE OF ELECTRONIC CIGARETTES BY YOUNG ADULTS
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.
Bibliographic record
Abstract
This integrative review aimed to investigate the relationship between the use of electronic cigarettes and the occurrence of cardiovascular outcomes in young adults. Initially, the analysis intended to include individuals aged 18 to 28; however, due to the scarcity of specific studies, it was necessary to expand the age range to 18 to 54 years. The literature search was conducted using the PubMed, LILACS, and ScienceDirect databases, employing controlled descriptors and specific Boolean operators. After identifying 57 articles and removing duplicates, 11 studies were selected for full reading and analysis. The extracted data were organized in a comparative table including author, title, study type, exposure, analyzed outcome, and main findings. The methodological quality of observational studies was assessed using the Newcastle-Ottawa Scale (NOS). The analysis revealed that the use of electronic cigarettes is associated with significant adverse effects on cardiovascular health, including endothelial dysfunction, increased oxidative stress, arterial stiffness, autonomic nervous system alterations, and a higher predisposition to thrombogenicity. These findings highlight the need for further longitudinal studies to clarify long-term effects and the underlying pathophysiological mechanisms.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it