Sex Differences in Treatment of Adult Intensive Care Patients: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
OBJECTIVES: To evaluate and synthesize the available literature on sex differences in the treatment of adult ICU patients. DATA SOURCES: MEDLINE and EMBASE. STUDY SELECTION: Two reviewers independently screened publications to identify observational studies of adult ICU patients that explicitly examined the association between sex and ICU treatment-specifically, mechanical ventilation, renal replacement therapy, and length of stay. DATA EXTRACTION: We extracted data independently and in duplicate: mean age, illness severity, use of mechanical ventilation and renal replacement therapy, and length of stay in ICU and hospital. We assessed risk of bias using the Newcastle-Ottawa Scale. We used a DerSimonian-Laird random-effects model to calculate pooled odds ratios (ORs) and mean differences between women and men. DATA SYNTHESIS: We screened 4,098 publications, identifying 21 eligible studies with 545,538 participants (42.7% women). The study populations ranged from 246 to 261,255 participants (median 4,420). Most studies (76.2%) were at high risk of bias in at least one domain, most commonly representativeness or comparability. Women were less likely than men to receive invasive mechanical ventilation (OR, 0.83; 95% CI, 0.77-0.89; I2 = 90.4%) or renal replacement therapy (OR, 0.79; 95% CI, 0.70-0.90; I2 = 76.2%). ICU length of stay was shorter in women than men (mean difference, -0.24 d; 95% CI, -0.37 to -0.12; I2 = 89.9%). These findings persisted in meta-analysis of data adjusted for illness severity and other confounders and also in sensitivity analysis excluding studies at high risk of bias. There was no significant sex difference in duration of mechanical ventilation or hospital length of stay. CONCLUSIONS: Women were less likely than men to receive mechanical ventilation or renal replacement therapy and had shorter ICU length of stay than men. There is substantial heterogeneity and risk of bias in the literature; however, these findings persisted in sensitivity analyses.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".