Background: Oncological care was considerably impacted by the COVID-19 pandemic. Worrisome declines in diagnostic procedures and cancer diagnoses in 2020 have been reported; however, nationwide, population-based evidence is limited. Quantification of the magnitude and distribution of the remaining outstanding diagnoses is likewise lacking. Methods: Using accelerated delivery of data from pathology laboratories to the Belgian Cancer Registry, we compared the nationwide rates of new diagnoses of invasive cancers in 2020 to 2019. Results: We observed a 44% reduction in total diagnoses of invasive cancers in April 2020 compared with April 2019, coinciding with the first wave of the COVID-19 pandemic. The reduction was largest in older patients and for skin cancers (melanoma and nonmelanoma). Reductions in diagnosis were less pronounced among children and adolescents (0-19 years). A smaller decline was observed for most cancers with typically poorer prognosis or obvious symptoms, including some hematological malignancies, lung, and pancreatic cancer. Suspension of organized population screening programs was reflected in a strong decline in diagnosis in the screening age groups for female breast cancer (56%) and for colorectal cancer in both men (49%) and women (60%). The number of diagnoses began to increase from the end of April and stabilized at the beginning of June at or just above 2019 levels. There has yet to be a complete recovery in cancer diagnoses, with an estimated 6%, or w4000 diagnoses, still outstanding for all of 2020. Among solid tumors, head and neck cancers have the largest remaining year-over-year decrease in diagnoses at 14%. Conclusion: These results add to the evidence of a profound impact of the COVID-19 pandemic on oncological care and identify groups at risk for continuing diagnostic delays. These data should stimulate health care providers worldwide to facilitate targeted, accessible, and efficient procedures for detection of cancers affected by this delay.
In this updated systematic review and meta-analysis, we estimate the pooled prevalence of human papillomavirus (HPV) DNA and HPV type distribution in squamous cell carcinoma of the vulva (vulvar cancer) and vulvar intraepithelial neoplasia (VIN). PubMed, Embase and Cochrane Library databases were used to identify studies published between 1990 and 2015 and using a PCR-based or hybrid capture test to evaluate the presence of HPV DNA in vulvar cancer or VIN. Pooled estimates of the HPV prevalence with corresponding 95% confidence intervals (CI) were calculated based on a random effects model. The I statistic was used to describe the amount of heterogeneity. In meta-regression analyses, potential sources of heterogeneity were evaluated. We identified 92 eligible papers, comprising altogether 5,015 cases of vulvar cancer (64 papers) and 2,764 cases of VIN (48 papers). The pooled prevalence of HPV in vulvar cancer was 39.7% (95% CI: 35.1-44.4%). Overall, 76.3% (95% CI: 70.1-82.1%) of VIN lesions tested HPV-positive, while the HPV prevalence in new subcategories of VIN, uVIN and dVIN, was 86.2% (95% CI: 73.5-95.5%) and 2.0% (95% CI: 0-10.0%), respectively. Substantial between-study heterogeneity was observed (vulvar cancer: I = 88.4%; VIN: I = 90.7%) with the largest variation between geographical regions. Among HPV-positive cases, the predominant high-risk HPV type was HPV16, followed by HPV33 and HPV18. HPV6 was detected as a single infection in a small subset of VIN and vulvar cancer samples. Thus, HPV vaccination targeting these HPV types may prevent a substantial number of vulvar lesions.
We estimated the overall and type‐specific prevalence of human papillomavirus (HPV) and p16 overexpression in vaginal cancer and vaginal intraepithelial neoplasia (VaIN). We conducted a systematic search of PubMed, Embase and Cochrane Library to identify studies published between 1986 and 2017 using PCR‐based or Hybrid Capture 2 tests to evaluate the presence of HPV DNA and/or using any method to detect p16 overexpression in VaIN, vaginal squamous cell carcinoma (VaSCC), or other types of vaginal cancer. Applying a random effects model, we estimated the pooled prevalence of HPV and p16 overexpression along with 95% confidence intervals (CIs). The I2 statistic was used to assess heterogeneity. We included 26 studies, reporting HPV prevalence and six studies evaluating p16 overexpression. The pooled HPV prevalences in VaSCC (n = 593) and VaIN (n = 1,374) were 66.7% (95% CI = 54.7–77.8) and 85.2% (95% CI = 78.2–91.0), respectively. Substantial inter‐study heterogeneity was observed, and analyses stratified on geographic region, type of tissue, HPV detection method or PCR primer type did not fully explain the observed heterogeneity. The most predominant HPV type among the HPV positive VaSCC and VaIN cases was HPV16, followed by HPV33, and HPV45 (in VaIN) and HPV18, and HPV33 (in VaSCC). In pooled analyses, 89.9% (95% CI = 81.7–94.6) of HPV positive and 38.9% (95% CI = 0.9–90.0) of HPV negative vaginal cancers were positive for p16 overexpression. Our findings suggest that vaccination against HPV might prevent a substantial proportion of vaginal neoplasia and highlight the need for further studies of the possible clinical value of p16 testing in these patients.
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