You have heteroscedasticity, sometimes called "heterogeneity of variance" in ANOVA. This makes the standard confidence intervals and $p$-values invalid. There are many ways to address this issue. I discuss them here: Alternatives to one-way ANOVA for heteroscedastic data. You should read that. Regarding the question of how to present this, you just state the approach you used. There may be subject- or journal-specific conventions for discussing the analyses used, but they should all amount to pretty much the same thing. For example, you could simply say that you used the Welch correction to the degrees of freedom and list the resulting df with your results.

You have heteroscedasticity, sometimes called "heterogeneity of variance" in ANOVA. This makes the standard confidence intervals and $p$-values invalid. There are many ways to address this issue. I discuss them here: Alternatives to one-way ANOVA for heteroscedastic data. You should read that. Regarding the question of how to present this, you just state the approach you used. There may be subject- or journal-specific conventions for discussing the analyses used, but they should all amount to pretty much the same thing. For example, you could simply say that you used the Welch correction to the degrees of freedom and list the resulting df with your results.