An odds ratio is the difference between the number of times that something happens and does not happen. An unadjusted odds ratio is a guess between what could or could not happen.
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diferece between ratio and regression
As adjusted odds ratio is defined as "In a multiple logistic regression model where the response variable is the presence or absence of a disease, an odds ratio for a binomial exposure variable is an adjusted odds ratio for the levels of all other risk factors included in a multivariable model." Simply put, it is a measure of association between an exposure and an outcome.
Odds ratio (AD/BC) is the ratio between number of times that something happens and does not happen. Crude odds ratio is the ratio that is not stratified (ex. by age). Adjusted odds ratio is a stratified odds ratio. If the odds ratio equals one, then there is no association, and null hypothesis shall be accepted. If one is included into confidence interval, then it is possible that odds ratio equals one, and it is not statistically significant. If stratified odds ratios are about the same, or there are no significant differences, the odds ratios are combined into one common odds summary estimate of two stratum specific ORs using Mantel-Haenszel and/or Cohran's tests, or multivariable analysis.
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A ratio table is more like a pattern, where a data table has graphs.