2021
DOI: 10.1186/s12905-021-01470-7
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Women in the 2019 hepatitis C cascade of care: findings from the British Columbia Hepatitis Testers cohort study

Abstract: Background Women living with hepatitis C virus (HCV) are rarely addressed in research and may be overrepresented within key populations requiring additional support to access HCV care and treatment. We constructed the HCV care cascade among people diagnosed with HCV in British Columbia, Canada, as of 2019 to compare progress in care and treatment and to assess sex/gender gaps in HCV treatment access. Methods The BC Hepatitis Testers Cohort include… Show more

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Cited by 14 publications
(6 citation statements)
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“…However, the difference in SVR12 rate between females and males was numerically small and not likely clinically relevant given the overall high SVR12 rates. Similar findings were seen in other studies 15,29–31 …”
Section: Discussionsupporting
confidence: 93%
See 1 more Smart Citation
“…However, the difference in SVR12 rate between females and males was numerically small and not likely clinically relevant given the overall high SVR12 rates. Similar findings were seen in other studies 15,29–31 …”
Section: Discussionsupporting
confidence: 93%
“…Similar findings were seen in other studies. 15,[29][30][31] In the literature, reports of sex differences in the treatment of HCV GT3 are limited. The HCV-TARGET study 32 evaluated HCV GT 3 participants receiving sofosbuvir and ribavirin with or without peginterferon and found male sex was a negative predictor of SVR.…”
Section: Discussionmentioning
confidence: 99%
“…Female sex is known as a good predictor for spontaneous clearance among those with acute HCV infection and among those with chronic HCV. Cirrhosis progression appears to be slower in younger women (< 50 years) compared to men, with this difference abating in older women (> 50 years), possibly due to hormonal changes in menopause [27].…”
Section: Discussionmentioning
confidence: 98%
“…On the other hand, co-infection with HIV and institutionalized individuals proved to be risk factors for not undergoing treatment, and it should be noted that they are vulnerable groups[ 14 ]. The non-white race in the simple analysis also proved to be a vulnerable group for not undergoing treatment, which reminds us of the need to consider race in the implementation of public policies[ 20 ]. In the final analysis, the female sex obtained higher data in the performance of treatment; however, this data contradicts the results seen previously where women, mainly young people, tend to face barriers to engaging in any form of health care[ 21 ].…”
Section: Discussionmentioning
confidence: 99%