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The overall quality of evidence was low for pneumonia outcome.
A significant difference for pneumonia outcome was found (p-value <.005) (Table 2).
The RCT results, stroke location and pneumonia outcome were crosstabulated utilizing the Chi-Square test.
Brainstem (p-value <.007) and cerebral strokes (p-value <.005) correlated with the RCT results and pneumonia outcome.
Therefore, CAP risk prediction models have been developed to help clinicians predict pneumonia outcome and determine appropriate management more accurately.
These limitations and other are reflected in low-quality evidence for pneumonia outcome (Table 3) and should be considered when interpreting the results of this meta-analysis.
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For pneumonia, outcomes were continuous variables at hospital level and required aggregation of patient (stay) level data.
Future research should thus focus on randomized trials to test if clinical decision rules using existing risk prediction models and guided treatment pathways can significantly improve pneumonia outcomes.
Strengths of our study include extensive efforts to minimise confounding, including both "healthy user" bias and confounding by indication, and the validation of all pneumonia outcomes.
For these two pneumonia outcomes, the high adjusted R² indicates that the models perform well in explaining the variability in the data.
Incomplete antibiotic coverage and care-seeking delays negatively influence pneumonia outcomes in low-resource settings and improvements have been inconsistent and difficult to sustain [ 4].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com