The summation of data from various studies in meta-analysis helps to identify:

The summation of data from various studies in a meta-analysis specifically aims to identify consistent results across studies. By pooling results from multiple research efforts, meta-analysis enhances the overall power and precision of the findings, allowing researchers to determine whether a specific intervention, treatment, or phenomenon exhibits similar effects in different contexts or populations. This gathering of evidence helps clarify whether a particular outcome is reliable and reproducible when examined through various lenses.

Through this process, anomalies and variations can also be spotted, which might indicate differing results or methodologies across the included studies. However, the primary focus of a meta-analysis remains on establishing a consensus regarding evidence, thereby guiding future research, clinical practice, and decision-making.

While other aspects, such as publication bias and uniformity in methods, may arise from exploring the data, they don't directly align with the primary purpose of identifying consistent results, making this the most fitting choice.