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10.1038/s41416-021-01275-3 http://scihub22266oqcxt.onion/10.1038/s41416-021-01275-3 33558708!8039040!33558708     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Br+J+Cancer 2021 ; 124 (8): 1361-1365 Nephropedia Template TP {{tp|p=33558708|t=2021. Recovery strategies following COVID-19 disruption to cervical cancer screening and their impact on excess diagnoses |pdf=|usr=}}{{33558708}} gab.com Text Recovery strategies following COVID-19 disruption to cervical cancer screening and their impact on excess diagnoses JO: Br J Cancer http://www.kidney.de/pget.php?&tw=1&pmid=33558708 #FOAvip BACKGROUND: The COVID-19 pandemic has disrupted cervical cancer screening services. Assuming increases to screening capacity are unrealistic, we propose two recovery strategies: one extends the screening interval by 6 months for all and the other extends the interval by 36/60 months, but only for women who have already missed being screened. METHODS: Using routine statistics from England we estimate the number of women affected by delays to screening. We used published research to estimate the proportion of screening age women with high-grade cervical intraepithelial neoplasia and progression rates to cancer. Under two recovery scenarios, we estimate the impact of COVID-19 on cervical cancer over one screening cycle (3 years at ages 25-49 and 5 years at ages 50-64 years). The duration of disruption in both scenarios is 6 months. In the first scenario, 10.7 million women have their screening interval extended by 6 months. In the second, 1.5 million women (those due to be screened during the disruption) miss one screening cycle, but most women have no delay. RESULTS: Both scenarios result in similar numbers of excess cervical cancers: 630 vs. 632 (both 4.3 per 100,000 women in the population). However, the scenario in which some women miss one screening cycle creates inequalities-they would have much higher rates of excess cancer: 41.5 per 100,000 delayed for screened women compared to those with a 6-month delay (5.9 per 100,000). CONCLUSION: To ensure equity for those affected by COVID-19 related screening delays additional screening capacity will need to be paired with prioritising the screening of overdue women. Twit Text FOAVip Recovery strategies following COVID-19 disruption to cervical cancer screening and their impact on excess diagnoses ????Br J Cancer http://www.kidney.de/pget.php?&tw=1&pmid=33558708 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33558708 #FOAvip English Wikipedia <ref>{{Cite pmid|33558708}}</ref> Recovery strategies following COVID-19 disruption to cervical cancer screening and their impact on excess diagnoses #MMPMID33558708 Castanon A; Rebolj M; Pesola F; Sasieni P Br J Cancer 2021[Apr]; 124 (8): 1361-1365 PMID33558708show ga BACKGROUND: The COVID-19 pandemic has disrupted cervical cancer screening services. Assuming increases to screening capacity are unrealistic, we propose two recovery strategies: one extends the screening interval by 6 months for all and the other extends the interval by 36/60 months, but only for women who have already missed being screened. METHODS: Using routine statistics from England we estimate the number of women affected by delays to screening. We used published research to estimate the proportion of screening age women with high-grade cervical intraepithelial neoplasia and progression rates to cancer. Under two recovery scenarios, we estimate the impact of COVID-19 on cervical cancer over one screening cycle (3 years at ages 25-49 and 5 years at ages 50-64 years). The duration of disruption in both scenarios is 6 months. In the first scenario, 10.7 million women have their screening interval extended by 6 months. In the second, 1.5 million women (those due to be screened during the disruption) miss one screening cycle, but most women have no delay. RESULTS: Both scenarios result in similar numbers of excess cervical cancers: 630 vs. 632 (both 4.3 per 100,000 women in the population). However, the scenario in which some women miss one screening cycle creates inequalities-they would have much higher rates of excess cancer: 41.5 per 100,000 delayed for screened women compared to those with a 6-month delay (5.9 per 100,000). CONCLUSION: To ensure equity for those affected by COVID-19 related screening delays additional screening capacity will need to be paired with prioritising the screening of overdue women. |*Early Detection of Cancer[MESH] |Adult[MESH] |COVID-19/complications/*diagnosis/epidemiology/virology[MESH] |Colposcopy/methods[MESH] |England/epidemiology[MESH] |Female[MESH] |Humans[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Papillomaviridae/pathogenicity[MESH] |Papillomavirus Infections/complications/*diagnosis/epidemiology/virology[MESH] |Pregnancy[MESH] |SARS-CoV-2/genetics/pathogenicity[MESH] |Uterine Cervical Neoplasms/complications/*diagnosis/epidemiology/virology[MESH]Recovery strategies following COVID-19 disruption to cervical cancer s(epmc).pdf DeepDyve Pubget Overpricing