Suicide risk in persons with polycystic ovarian syndrome: a systematic review
Bibliographic record
Abstract
Abstract Background Polycystic ovarian syndrome (PCOS) is a common and increasingly prevalent reproductive and metabolic endocrine disorder that is characterized by metabolic alterations, hyperandrogenism, menstrual irregularities as well as an increased risk of depression. Available evidence suggests PCOS may also be associated with disparate aspects of suicidality. Herein, we sought to determine the prevalence of suicidal ideation, suicidal behaviours and completed suicide in the PCOS population. Methods We systematically searched PubMed, Ovid and Scopus databases from inception to January 7, 2024. A manual search was conducted on Google Scholar. Two reviewers independently screened the retrieved studies against the eligibility criteria (S.W. and G.H.L.). Human studies investigating suicide outcomes in women of reproductive age with a confirmed diagnosis of PCOS were included. Results Eleven studies meeting our eligibility criteria were included. Although results were mixed, available evidence suggests that persons with PCOS are at an increased risk of suicidal ideation, self-harm and suicide attempts and are also differentially affected by psychiatric comorbidities (e.g., depressive disorders). Notwithstanding, suicide risk was not fully accounted for by the presence of mental illness, which suggests that PCOS may also be contributory. Conclusion PCOS is associated with an increased risk of suicidal ideation and behaviour and associated psychiatric comorbidities. Persons with PCOS should be routinely evaluated for the presence of clinically significant suicidality. Whether increased suicidality in PCOS populations is a direct effect of the disease state and/or is largely moderated by psychiatric comorbidity is a future research vista.
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 | 0.003 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".