Prevalence of preoperative depression and adverse outcomes in older patients undergoing elective surgery: A systematic review and meta-analysis
Bibliographic record
Abstract
Depression is a common cause of long-lasting disability and preoperative mental health state that has important implications for optimizing recovery in the perioperative period. In older elective surgical patients, the prevalence of preoperative depression and associated adverse pre- and postoperative outcomes are unknown. This systematic review and meta-analysis aimed to determine the prevalence of preoperative depression and the associated adverse outcomes in the older surgical population. Systematic review and meta-analysis. MEDLINE, MEDLINE Epub Ahead of Print and In-Process, In-Data-Review & Other Non-Indexed Citations, Embase/Embase Classic, Cochrane CENTRAL, and Cochrane Database of Systematic Reviews, ClinicalTrials.Gov, the WHO ICTRP (International Clinical Trials Registry Platform) for relevant articles from 2000 to present. Patients aged ≥65 years old undergoing non-cardiac elective surgery with preoperative depression assessed by tools validated in older adults. These validated tools include the Geriatric Depression Scale (GDS), Hospital Depression and Anxiety Scale (HADS), Beck Depression Inventory-II (BDI), Patient Health Questionnaire-9 (PHQ-9), and the Centre for Epidemiological Studies Depression Scale (CESD). Preoperative assessment. The primary outcome was the prevalence of preoperative depression. Additional outcomes included preoperative cognitive impairment, and postoperative outcomes such as delirium, functional decline, discharge disposition, readmission, length of stay, and postoperative complications. Thirteen studies (n = 2824) were included. Preoperative depression was most assessed using the Geriatric Depression Scale-15 (GDS-15) (n = 12). The overall prevalence of preoperative depression was 23% (95% CI: 15%, 30%). Within non-cancer non-cardiac mixed surgery, the pooled prevalence was 19% (95% CI: 11%, 27%). The prevalence in orthopedic surgery was 17% (95% CI: 9%, 24%). In spine surgery, the prevalence was higher at 46% (95% CI: 28%, 64%). Meta-analysis showed that preoperative depression was associated with a two-fold increased risk of postoperative delirium than those without depression (32% vs 23%, OR: 2.25; 95% CI: 1.67, 3.03; I2: 0%; P ≤0.00001). The overall prevalence of older surgical patients who suffered from depression was 23%. Preoperative depression was associated with a two-fold higher risk of postoperative delirium. Further work is needed to determine the need for depression screening and treatment preoperatively.
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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 | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.031 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 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".