The effect of antidepressants on lipid homeostasis: a cardiac safety concern?
Bibliographic record
Abstract
OBJECTIVE: The authors sought to summarise and synthesise results from investigations which report on the effect of antidepressants on serum lipid homeostasis. METHOD: The authors conducted a MedLine search of all English-language articles from 1966 to March 2006 using the search terms: major depressive disorder, bipolar disorder, lipids, triglycerides, cholesterol, low-density lipoprotein, high-density lipoprotein, and the non-proprietary names of conventional antidepressants indicated for the treatment of major depressive disorder in North America as of March 2006. The search was supplemented with a manual review of retrieved articles for any further citations reporting the effects of antidepressants on lipid homeostasis. RESULTS: Despite the paucity of well-characterised investigations, the unfavourable effect of weight gain promoting antidepressants (e.g., tricyclics, mirtazapine) on serum lipid parameters (i.e., triglycerides and low-density lipoprotein cholesterol) is a consistent finding. Weight-neutral antidepressants (e.g., bupropion, venlafaxine, duloxetine), however, are less likely to disrupt the lipid milieu. A weight-independent effect on lipid homeostasis is less consistently reported. CONCLUSION: Some antidepressants unfavourably influence the lipid milieu; mediating factors other than weight gain are not well-established. Pivotal studies evaluating the therapeutic index of antidepressants need to systematically collect and report data on the lipid effects of antidepressants.
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 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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".