Antipsychotic use and risk of life‐threatening medical events: umbrella review of observational studies
Bibliographic record
Abstract
OBJECTIVE: To quantify the risk of hip fracture, thromboembolism, stroke, myocardial infarction, pneumonia and sudden cardiac death associated with exposure to antipsychotics. METHODS: Systematic searches were conducted in Medline, Embase and PsycINFO from inception until 30/07/2018 for systematic reviews of observational studies. AMSTAR-2 was used for the quality assessment of systematic reviews, while the strength of associations was measured using GRADE and quantitative umbrella review criteria (URC). RESULTS: Sixty-eight observational studies from six systematic reviews were included. The association between antipsychotic exposure and pneumonia was the strongest [URC = class I; GRADE = low quality; odds ratio (OR) = 1.84, 95% confidence interval (CI) = 1.62-2.09; participants = 28 726; age = 76.2 ± 12.3 years], followed by the association with hip fracture (URC = class II; GRADE = low quality; OR = 1.57, 95% CI = 1.42-1.74; participants = 5 288 118; age = 55.4 ± 12.5 years), and thromboembolism (URC = class II; GRADE = very low quality; OR = 1.55, 95% CI = 1.31-1.83; participants = 31 417 175; age = 55.5 ± 3.2 years). The association was weak for stroke (URC = class III; GRADE = very low quality; OR = 1.45, 95% CI = 1.24-1.70; participants = 65 700; age = 68.7 ± 13.8 years), sudden cardiac death (URC = class III; GRADE = very low quality; OR = 2.24, 95% CI = 1.45-3.46; participants = 77 488; age = 52.2 ± 6.2 years) and myocardial infarction (URC = class III; GRADE = very low quality; OR = 2.21, 95% CI = 1.41-3.46; participants = 399 868; age = 74.1 ± 9.3 years). CONCLUSION: The most robust results were found for the risk of pneumonia, followed by the risk of hip fracture and thromboembolism. For stroke, sudden cardiac death and myocardial infarction, the strength of association was weak. The observational nature of the primary studies may represent a source of bias.
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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 | 0.043 | 0.171 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.013 | 0.016 |
| Bibliometrics | 0.027 | 0.019 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| 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".