No abstract

Summary Excess body fat is a major risk factor for endometrial cancer incidence, but its impact on recurrence and survival remains unclear. The aim of this systematic review and meta‐analysis was to assess the association between excess body fat with recurrence, cancer‐specific, and all‐cause mortality among endometrial cancer survivors. We searched MEDLINE and EMBASE databases up to July 2021. Risk of bias was assessed with the Ottawa Newcastle Scale. Random effects models estimated pooled hazard ratios for the main associations between body mass index (BMI) and survival outcomes and stratified by endometrial cancer type. Potential heterogeneity and publication bias were evaluated with sensitivity analyses, funnel plots, and Egger's test. Forty‐six studies were included, of which 45 estimated body fat with BMI and six used direct waist circumference measures or CT/MRI scans. Higher BMI (≥30 kg/m2) was associated with increased all‐cause mortality (HR = 1.34, 95%CI = 1.12–1.59) and recurrence (HR = 1.28, 95%CI = 1.06–1.56). In sub‐group analysis, associations between higher BMI and all‐cause mortality were observed for both Types I and II survivors, while recurrence associations were only significant among Type I cases. Obesity at endometrial cancer diagnosis was associated with increased cancer recurrence and all‐cause mortality among endometrial cancer survivors but not endometrial cancer‐specific mortality.

Background: Maternal nutritional status is a key determinant of small for gestational age (SGA), but some knowledge gaps remain, particularly regarding the role of the energy balance entering pregnancy.Objective: We investigated how preconceptional and gestational weight trajectories (summarized by individual-level traits) are associated with SGA risk in rural Gambia.Design: The sample comprised 670 women in a trial with serial weight data (7310 observations) that were available before and during pregnancy. Individual trajectories from 6 mo before conception to 30 wk of gestation were produced with the use of multilevel modeling. Summary traits were expressed as weight z scores [weight z score at 3 mo preconception (zwt−3 mo), weight z score at conception, weight z score at 3 mo postconception, weight z score at 7 mo postconception (zwt+7 mo), and conditional measures that represented the change from the preceding time] and were related to SGA risk with the use of Poisson regression with confounder adjustment; linear splines were used to account for nonlinearity.Results: Maternal weight at each time point had a consistent nonlinear relation with SGA risk. For example, the zwt−3 mo estimate was stronger in women with values ≤0.5 (RR: 0.736; 95% CI: 0.594, 0.910) than in women with values >0.5 (RR: 0.920; 95% CI: 0.682, 1.241). The former group had the highest observed SGA prevalence. Focusing on weight change, only conditional zwt+7 mo was associated with SGA and only in women with values >−0.5 (RR: 0.579; 95% CI: 0.463, 0.724).Conclusions: Protection against delivering an SGA neonate offered by greater preconceptional or gestational weight may be most pronounced in more undernourished and vulnerable women. Independent of this possibility, greater second- and third-trimester weight gain beyond a threshold may be protective. This trial was registered at http://www.isrctn.com/ as ISRCTN49285450.