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Abstract Background Gestational diabetes mellitus (GDM) and insulin resistance (IR) increase the risk of adverse pregnancy outcomes. We aimed to examine the relationship of interstitial glucose assessed by continuous glucose monitoring (CGM) at early gestation, and the subsequent development of IR and GDM, and to determine 24-h interstitial glucose centile distributions in women with normal (non-IR and non-GDM) and suboptimal glycemic status (IR and/or GDM). Methods CGM measurements were taken for 3–10 days at 18–24 weeks’ gestation, followed by fasting serum insulin and oral glucose tolerance testing at 24–28 weeks’ gestation. IR and GDM were determined by the updated Homeostasis Model Assessment of IR score of ≥ 1.22 and 2013 World Health Organization criteria, respectively. Risks of IR and GDM were estimated using modified Poisson models, and hourly interstitial glucose centiles determined using Generalized Additive Models for Location, Scale and Shape. Results This prospective cohort study involved 167 pregnant women in Singapore, with a mean age of 31.7 years, body mass index of 22.9 kg/m2, and gestation of 20.3 weeks. 25% of women exhibited IR and 18% developed GDM. After confounders adjustment, women with suboptimal glycemic control, indicated by higher mean daily glucose (risk ratio 1.42; 95% confidence interval 1.16, 1.73), glucose management indicator (1.08; 1.03, 1.12), and J-index (1.04; 1.02, 1.06), as well as those with greater glycemic variability, indicated by higher standard deviation (1.69; 1.37, 2.09), coefficient of variation (1.03; 1.00, 1.06), and mean amplitude of glycemic excursions (1.4; 1.14, 1.35) derived from CGM in early gestation were associated with higher risks of developing IR in later gestation. These associations were similarly observed for the development of GDM. Centile curves showed that, compared to those with normal glycemic status, women with suboptimal glycemic status had higher glucose levels, with greater fluctuations throughout 24 h. Conclusions In pregnant women who subsequently developed IR and GDM, interstitial glucose levels assessed by CGM were elevated and varied greatly. This supports the potential use of CGM to screen for glycemic changes early in pregnancy.

TikTok has become a hub for easily accessible medical information. However, the quality and completeness of this information for testicular cancer has not been examined. Our study aims to assess the quality and completeness of testicular cancer information on TikTok. A search was performed on TikTok using the search terms “Testicular Cancer” and “Testicle Cancer”. Inclusion criteria encompassed videos about testicular cancer in English. We excluded non-English videos, irrelevant videos, and videos without audio. We evaluated these videos using the DISCERN instrument and a completeness assessment. A total of 361 videos were considered for screening and 116 videos were included. Of these, 57 were created by healthcare professionals (HCPs). The median video length was 40 s (5–277 s), with >25 million cumulative views and a median of 446,400 views per video. The average DISCERN score was 29.0 ± 5.7, with HCPs providing higher-quality videos than non-HCPs (30.8 vs. 5.5, p < 0.05). HCPs also had more reliable videos (21.2 vs. 18.1, p < 0.05). Overall quality levels were mostly poor or very poor (97.4%), with none being good or excellent. Most HCP videos were poor (63.2%), whilst many non-HCP videos were very poor (61.0%). The most viewed video had 2,800,000 views but scored a 31 on the DISCERN tool and one on the completeness assessment. The highest DISCERN score had 11,700 views. HCP videos better defined the disease and were more complete (p < 0.05). Most videos discussed self-assessment but were lacking in definitions, risk factors, symptoms, evaluation, management, and outcomes. Most of TikTok’s testicular cancer information lacks quality and completeness, whilst higher-quality videos have limited reach.