Abstract
The Bethesda system (TBS) has been used for cervical cytological diagnosis in Japan since 2008. Evaluation of specimen adequacy is the most important aspect of quality assurance and for precise diagnosis in TBS. A systematic review and meta-analysis were carried out to assess the unsatisfactory specimen rate in the primary cervical cancer screening setting in Japan. Ovid Medline and Ichushi-Web databases were searched from inception through to May 2017. Prospective and retrospective studies that reported the proportion of unsatisfactory specimens in healthy asymptomatic Japanese women in a cervical cancer screening program were eligible for inclusion; 17 studies were included in the meta-analysis. The random-effects model meta-analysis calculated summary estimates of the unsatisfactory rate of 0.60% (95% confidence interval [CI], 0.18-1.96%; I2 = 99%) for conventional cytology and 0.04% (95% CI, 0.00-0.35%; I2 = 99%) for liquid-based cytology (LBC). However, comparative results between conventional and liquid-based cytology, based on four direct and nine comparative studies, showed no significant difference (summary odds ratio = 3.5 × 10−2 favoring LBC [95% CI, 6.9 × 10−4-1.7]; I2 = 98%). In the subgroup analyses and meta-regressions, use of non-cotton devices for conventional cytology and use of a particular platform for LBC were associated with lower unsatisfactory rates. Meta-regression also suggested chronological improvement in unsatisfactory rates for both tests. In Japanese cervical cancer screening programs, conventional cytology remains prevalent. Future research needs to focus on evaluating the impact of screening programs using LBC by comparing the accuracy, performance, and cost-effectiveness with conventional cytology in the Japanese population.
| Original language | English |
|---|---|
| Pages (from-to) | 934-943 |
| Number of pages | 10 |
| Journal | Cancer Science |
| Volume | 109 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 04-2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Oncology
- Cancer Research
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