Writing articles related to medical research today has to follow certain well-accepted forms of research in order to be accepted. Of the various types of medical research articles, studies based on metadata analysis is one of the most well-accepted forms.
The concept of meta-analysis stems from the field of statistics. Meta-analysis is a process of combining the results of multiple scientific research related to the same field. Statistically, if there are multiple experiments on the same lines, the results of each are prone to certain degrees of error (for example, the most commonly occurring errors are Type 1 errors related to false-positives or Type 2 errors of false-negatives). However, if all those studies are pooled together, the net derivative result is less likely to have any of such errors and will yield a more definitive result. The key to the aggregation of data is higher statistical power and thereby more robust point estimates than any individual scientific research.
Meta-analysis based medical research started in the 70s and has gained immense popularity ever since. In fact, statistics suggest that meta-analysis based medical articles are the most cited articles in the field.
While meta-analysis generally refers to quantitative studies, there exists another form of studies called statistical meta-synthesis pertaining to integrating results from multiple but related qualitative studies. The approach to statistical meta-synthesis is more interpretive than aggregative and thereby have a different approach altogether. Before embarking on your work, you need to first determine whether you want to go for meta-analysis or statistical meta-synthesis, based on the type of field you are working on.
How to Approach Writing a meta-analysis medical research paper?
Meta-analysis is conducted to assess the strength of evidence, usually on the efficacy of any specific disease or particular treatment. Meta-analysis seeks to collate multiple pieces of evidence to arrive at a conclusion; whether any direct or indirect effect exists, and/or whether such effect is positive or negative (particularly pertaining to a specific type of treatment). This assumes importance as heterogeneity is vital for the development of any new hypothesis.
Key to such study is developing the metadata pool, based on a thorough filing and coding system, proper categorization of data, and thereby identifying the key analytical data- crunching exercise that is expected to yield the best results.
The key to a good meta-analysis exercise is proper identification of the different methods adopted in each exercise and thereby identifying how they may have affected the findings of those exercises. Identifying and mapping methods is also critical given not all methods are comparable and therefore all data may not be compatible.
Tools for meta-analysis
Needless to say, the main tools for such analysis are hardcore statistical tools, mostly software like SAS, STRATA, R. The data is usually pooled from recognized medical research sources like PubMed, Embase, or CENTRAL.
Reporting of results is usually done via the form of Preferred Reporting Items for Systemic Reviews and Meta-analysis or PRISMA.