macula_rwe

Meta-analysis of 83 studies comparing 12-month visual acuity change results in routine clinical practices
of intravitreal therapy for diabetic maculaedema (DME) to the change in RCTs by pooling data published in the
last decade on treated eyes of treatment effect from OS.

datasets

Provides a new class of Bayesian meta-analysis models that incorporates a model for internal and external validity bias. In this way, it is possible to combine studies of diverse quality and different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS).

Pablo Emilio Verde

jarbes

Just a Rather Bayesian Evidence Synthesis

macula_rwe function

A dataframe with 83 rows and 13 columns. Each row represents study results, the columns are:<dl>
 <dt>therapy</dt>
<dd>Used Medication</dd> <dt>author_year</dt>
<dd>Author and year.</dd> <dt>eyes</dt>
<dd>Number of tested eyes.</dd> <dt>TE</dt>
<dd>Mean Change in Visual Acuity after 12-Months. Where Visual Acuity is measured in VAR (Visual Acuity Rating) score</dd> <dt>seTE</dt>
<dd>Standard Error of the Treatment Effect</dd> <dt>lower_95pct_ci</dt>
<dd>Lower 95prc CI for TE</dd> <dt>upper_95pct_ci</dt>
<dd>Upper 95prc CI for TE</dd> <dt>number_of_patients_at_baseline</dt>
<dd>Number of Patients in Study at Baseline</dd> <dt>mean_age</dt>
<dd>The mean age of patients per study</dd> <dt>baseline_va</dt>
<dd>Mean Visual Acuity at Baseline. Where Visual Acuity is measured in VAR (Visual Acuity Rating) score</dd> <dt>12_month_va</dt>
<dd>Mean Visual Acuity after 12 months. Where Visual Acuity is measured in VAR (Visual Acuity Rating) score</dd> <dt>baseline_cst</dt>
<dd>Mean Central Subfield Thickness at Baseline</dd> <dt>12_month_cst</dt>
<dd>Mean Central Subfield Thickness after 12 months</dd> 
</dl>

Format

Meta-analysis: 83 observational studies assessing the effectiveness of intravitreal therapy for diabetic maculaedema — macula_rwe

A dataframe with 83 rows and 13 columns. Each row represents study results, the columns are:<dl>
 <dt>therapy</dt>
<dd>Used Medication</dd>

 <dt>author_year</dt>
<dd>Author and year.</dd>

 <dt>eyes</dt>
<dd>Number of tested eyes.</dd>

 <dt>TE</dt>
<dd>Mean Change in Visual Acuity after 12-Months. Where Visual Acuity is measured in VAR (Visual Acuity Rating) score</dd>

 <dt>seTE</dt>
<dd>Standard Error of the Treatment Effect</dd>

 <dt>lower_95pct_ci</dt>
<dd>Lower 95prc CI for TE</dd>

 <dt>upper_95pct_ci</dt>
<dd>Upper 95prc CI for TE</dd>

 <dt>number_of_patients_at_baseline</dt>
<dd>Number of Patients in Study at Baseline</dd>

 <dt>mean_age</dt>
<dd>The mean age of patients per study</dd>

 <dt>baseline_va</dt>
<dd>Mean Visual Acuity at Baseline. Where Visual Acuity is measured in VAR (Visual Acuity Rating) score</dd>

 <dt>12_month_va</dt>
<dd>Mean Visual Acuity after 12 months. Where Visual Acuity is measured in VAR (Visual Acuity Rating) score</dd>

 <dt>baseline_cst</dt>
<dd>Mean Central Subfield Thickness at Baseline</dd>

 <dt>12_month_cst</dt>
<dd>Mean Central Subfield Thickness after 12 months</dd>

 
</dl>

macula_rwe: Meta-analysis: 83 observational studies assessing the effectiveness of intravitreal therapy for diabetic maculaedema

Description

Arguments

Format