Research Materials & Criteria

All research performed or sited by Cambridge International Institute for Medical Science and its members utilizes the strictest guidelines in research possible. No opinion or unproven information is ever considered for publication or recommendation until scientifically proven through real-life results.

All research materials include scientific publications such as: medical textbooks, medical journals, unbiased studies, scientific experimentation, and so on.

Scientific findings from clinical studies are always regarded with healthy skepticism. Many trials are rife with conflicts of interest and many study results can be all but useless; in particular, from faulty statistical analysis. Often experts will quote second or third hand results from experiments that were measured inaccurately.

No assumptions should ever be made based on scientific research, especially when it is dealing with the public's health and well being. Many times those publishing summaries of research, studies and their analysis misinterpret the results.

Statistics are often used to sensationalize, confuse, mislead, or oversimplify.

The Cambridge International Institute for Medical Science analytical tool for understanding statistics is as follows:

1) Does the conclusion make any logical or scientific sense?

2) Does the evidence support a cause-effect relationship?

3) Does the conclusion account for all possible factors that could influence the conclusion?

4) Does the statistical information given include the sample size and selection of the sample tested?

5) Does the conclusion include the sample size or does it disregard the sample size? Only publishing the end-points in any given study can be extremely misleading.

6) Will the proposed solution cause other unforeseen problems? All biological systems should be considered in any health-related study.

7) How many of the original study's participants dropped out because of negative side-effects? Were they included in the failure rate?

8) Did the study actually measure what you are led to believe was measured?

9) And most importantly, did real-life experience confirm the result? As Jean Martin Charcot stated: "...theories, no matter how pertinent, cannot eradicate the existence of facts."