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Metaprop: a Stata command to perform meta-analysis of binomial data.

Nyaga VN, Arbyn M, Aerts M - Arch Public Health (2014)

Bottom Line: It builds further on the existing Stata procedure metan which is typically used to pool effects (risk ratios, odds ratios, differences of risks or means) but which is also used to pool proportions.By using metaprop, no studies with 0% or 100% proportions were excluded from the meta-analysis.Furthermore, study specific and pooled confidence intervals always were within admissible values, contrary to the original publication, where metan was used.

View Article: PubMed Central - PubMed

Affiliation: Unit of Cancer Epidemiology, Scientific Institute of Public Health, Juliette Wytsmanstraat 14, 1050 Brussels, Belgium.

ABSTRACT

Background: Meta-analyses have become an essential tool in synthesizing evidence on clinical and epidemiological questions derived from a multitude of similar studies assessing the particular issue. Appropriate and accessible statistical software is needed to produce the summary statistic of interest.

Methods: Metaprop is a statistical program implemented to perform meta-analyses of proportions in Stata. It builds further on the existing Stata procedure metan which is typically used to pool effects (risk ratios, odds ratios, differences of risks or means) but which is also used to pool proportions. Metaprop implements procedures which are specific to binomial data and allows computation of exact binomial and score test-based confidence intervals. It provides appropriate methods for dealing with proportions close to or at the margins where the normal approximation procedures often break down, by use of the binomial distribution to model the within-study variability or by allowing Freeman-Tukey double arcsine transformation to stabilize the variances. Metaprop was applied on two published meta-analyses: 1) prevalence of HPV-infection in women with a Pap smear showing ASC-US; 2) cure rate after treatment for cervical precancer using cold coagulation.

Results: The first meta-analysis showed a pooled HPV-prevalence of 43% (95% CI: 38%-48%). In the second meta-analysis, the pooled percentage of cured women was 94% (95% CI: 86%-97%).

Conclusion: By using metaprop, no studies with 0% or 100% proportions were excluded from the meta-analysis. Furthermore, study specific and pooled confidence intervals always were within admissible values, contrary to the original publication, where metan was used.

No MeSH data available.


Related in: MedlinePlus

Proportion-cured estimates associated with cold coagulation treatment for CIN1 disease, by world region as analysed bymetaprop.
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Fig3: Proportion-cured estimates associated with cold coagulation treatment for CIN1 disease, by world region as analysed bymetaprop.

Mentions: Figure 3 (displaying the forest plot generated by metaprop) presents the study-specific proportions with 95% score confidence intervals, the regional and overall pooled estimates with 95% Wald confidence intervals, I2 statistic, and test of significance of the overall pooled estimates. In contrast with Figure 2 (displaying the graphical output generated with metan), all the confidence intervals have admissible values.Figure 3


Metaprop: a Stata command to perform meta-analysis of binomial data.

Nyaga VN, Arbyn M, Aerts M - Arch Public Health (2014)

Proportion-cured estimates associated with cold coagulation treatment for CIN1 disease, by world region as analysed bymetaprop.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4373114&req=5

Fig3: Proportion-cured estimates associated with cold coagulation treatment for CIN1 disease, by world region as analysed bymetaprop.
Mentions: Figure 3 (displaying the forest plot generated by metaprop) presents the study-specific proportions with 95% score confidence intervals, the regional and overall pooled estimates with 95% Wald confidence intervals, I2 statistic, and test of significance of the overall pooled estimates. In contrast with Figure 2 (displaying the graphical output generated with metan), all the confidence intervals have admissible values.Figure 3

Bottom Line: It builds further on the existing Stata procedure metan which is typically used to pool effects (risk ratios, odds ratios, differences of risks or means) but which is also used to pool proportions.By using metaprop, no studies with 0% or 100% proportions were excluded from the meta-analysis.Furthermore, study specific and pooled confidence intervals always were within admissible values, contrary to the original publication, where metan was used.

View Article: PubMed Central - PubMed

Affiliation: Unit of Cancer Epidemiology, Scientific Institute of Public Health, Juliette Wytsmanstraat 14, 1050 Brussels, Belgium.

ABSTRACT

Background: Meta-analyses have become an essential tool in synthesizing evidence on clinical and epidemiological questions derived from a multitude of similar studies assessing the particular issue. Appropriate and accessible statistical software is needed to produce the summary statistic of interest.

Methods: Metaprop is a statistical program implemented to perform meta-analyses of proportions in Stata. It builds further on the existing Stata procedure metan which is typically used to pool effects (risk ratios, odds ratios, differences of risks or means) but which is also used to pool proportions. Metaprop implements procedures which are specific to binomial data and allows computation of exact binomial and score test-based confidence intervals. It provides appropriate methods for dealing with proportions close to or at the margins where the normal approximation procedures often break down, by use of the binomial distribution to model the within-study variability or by allowing Freeman-Tukey double arcsine transformation to stabilize the variances. Metaprop was applied on two published meta-analyses: 1) prevalence of HPV-infection in women with a Pap smear showing ASC-US; 2) cure rate after treatment for cervical precancer using cold coagulation.

Results: The first meta-analysis showed a pooled HPV-prevalence of 43% (95% CI: 38%-48%). In the second meta-analysis, the pooled percentage of cured women was 94% (95% CI: 86%-97%).

Conclusion: By using metaprop, no studies with 0% or 100% proportions were excluded from the meta-analysis. Furthermore, study specific and pooled confidence intervals always were within admissible values, contrary to the original publication, where metan was used.

No MeSH data available.


Related in: MedlinePlus