how s the mortality interpreted here in study of chronic kidney disease
what does cons represent in logistic regression table
The table presents the results of a statistical analysis, specifically a meta-analysis, comparing the outcomes of two groups: DIED and ckdosa.
• Odds Ratio (OR): The OR for DIED is 0.6889844, indicating a 31.15% reduced odds of death in the treatment group compared to the control group. For ckdosa, the OR is not directly comparable due to the missing value.
• Standard Error (Std. Err.): The standard error for DIED is 0.0075924, indicating the variability of the OR estimate. The value for ckdosa is missing.
• t-value: The t-value for DIED is -33.81, suggesting a statistically significant difference between the treatment and control groups. The value for ckdosa is missing.
• P-value: The P-value for DIED is < 0.0001, indicating a highly statistically significant result. The value for ckdosa is missing.
• 95% Confidence Interval (CI): The 95% CI for DIED is (0.6743, 0.7040), indicating a range of plausible values for the true OR. The value for ckdosa is missing.
In summary, the table suggests that the treatment (DIED) has a statistically significant effect in reducing the odds of death compared to the control group, with a moderate to large effect size (OR = 0.6889844). However, the missing values for ckdosa limit the interpretation of its results.
So patiwnts with ckd+osa have lower death vs ckd without osa with odds as above.
