Suicidality among people with mild cognitive impairment: a systematic review
Bibliographic record
Abstract
BACKGROUND: Mild cognitive impairment (MCI) is a clinical stage between the expected cognitive decline of healthy ageing and dementia. People with MCI experience functional decline, social isolation and emotional symptoms that may increase suicidal thoughts and behaviours (STB). We aimed to explore the relationship between MCI and STB, as well as clinical and socioeconomic factors that may contribute to it. METHODS: To achieve our aims we carried out a comprensive systematic review of the existing scientific literature. We searched the following electronic databases up to June 2024: PubMed, Scopus, Cochrane Library, Web Of Science (WOS) and EMBASE. We employed the Cochrane Risk of Bias In Non-randomized Studies - of Exposure (ROBINS-E) and the Newcastle-Ottawa Scale to assess the quality of the eligible studies. RESULTS: An initial search retrieved 1,176 publications; however, only 11 studies met eligibility criteria to be included in the final analysis. The quality of these studies ranged from 3 to 8 out of a maximum score of 9 in the Newcastle-Ottawa Scale, with a median score of 6. People with a formal diagnosis of MCI showed a higher prevalence of STB than those without such condition or with a more severe cognitive impairment. Comorbid psychiatric disorders, such as depression, other health problems, such as cardiovascular diseases, and a low socioeconomic status and/or poor educational background seemed to contribute to suicide risk in people with MCI. CONCLUSION: Our systematic review suggests that people suffering MCI may be at an increased risk of presenting STB. Suicide prevention programmes for older populations with MCI should advocate for integrated health and social care models to tackle the clinical and social burden of suffering MCI.
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 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".