Adherence to cervical cancer screening guidelines is essential to the prevention of cervical cancer. Given the known targeted effects of the human papilloma virus (HPV), HPV vaccination, and routine screening to monitor for HPV and precancerous lesions, it is one of the most preventable cancers. 1 However, disparities persist across various groups, including patients in overweight or obese body mass index (BMI) categories. Patients with higher-than-recommended BMIs face a greater risk of many health conditions for a variety of interrelated reasons. Although some studies have found higher rates of cervical cancer in obese women, the direct oncogenic nature of HPV has raised the question of whether this difference is due to challenges with adequate detection instead of some underlying pathological process related to intrinsic health and immunity status. [2][3][4] A previous meta-analysis of 11 studies from the United States conducted in 2009 demonstrated a decrease in cervical cancer screening rates in women with obesity. 5 However, the authors were not able to identify this relationship when they analyzed the data for Black women alone. Almost 30 studies have been published since then, so Sand et al aimed to update the evidence to compare the influence of overweight and obesity for those with recommended weight on cervical cancer screening adherence rates. They also examined adherence by obesity class I to III, race, and geographical region. 6 Sand et al identified 32 eligible studies conducted from 2000 through September 1, 2022, for their systematic review and meta-analysis, with 66% conducted in North America, 28% in Europe, and 6% in Oceania. They selected studies that compared participation in cervical cancer screening for those within the range of recommended BMIs and those with higher BMIs. Three studies could not be included in the pooled analysis due to an odds ratio (OR) not being reported or insufficient data provided to calculate an OR; data for approximately one million women were available for the analysis across the 29 remaining studies. 6 All studies used the World Health Organization BMI categories. Studies with a quality score below 5 were excluded, and Egger's test was used to detect publication bias of the studies included in the final analysis. In addition to demographic information, data extraction included BMI categories, method for measuring BMI, number of participants in BMI categories,