An Association Study of Cervical Cancer Correlated with The Age of Coitarche in Dr. Soetomo Hospital Surabaya

Abstract

Background: Cervical cancer is one of the deadliest diseases for women’s lives. It is estimated that almost every hour, one died because of cervical cancer and 70% of new cases are found in an advanced stage. Many factors could cause cervical cancer, one of the risk factors is the age of the early coitarche. This study aims to determine the association between the age of coitarche and cervical cancer.Methods: This study was an analysis of observational study with a case-control design. There were two groups in this study; the case group of outpatients who were diagnosed with cervical cancer and the control group of outpatients who had normal cervical cytology by Papanicolaou screening. The 39 respondents of both the control and case groups, calculated using the Lemeshow’s formula for consecutive sampling, were interviewed for their details concerning reproductive and sexual histories, socio-economic status, hygiene, and education. The independent variable in this study was the age of coitarche; the dependent variable was cervical cancer. The data were analyzed descriptively and using the bivariate analysis (Chi-square) with α=0.05.Results: It is identified that 39 respondents for each group (case and control) have almost the same percentage of the age of coitarche in One-Stop Oncology Polyclinic (POSA’s outpatient); early coitarche of 43.6% and late coitarche of 56.4%. The age of early coitarche in Obstetrics and Gynecology’s outpatients, as a control group, is rare (4 of 39 respondents; 10.3%) and most of them did their sexual debut at the age of >18 years (89.7%). The chi-square test showed there was a correlation between the age of coitarche and cervical cancer (P=.002; OR=6.76; 95% CI 2.01–22.75).Conclusions: Early coitarche has a potential effect on cervical cancer.

Instance Selection dengan Naïve Bayes pada Klasifikasi Kanker Serviks

“…Penelitian yang dilakukan oleh Kelwin Fernandes, et al [7] metode skrining atau diagnosis dan preferensi dokter subjektif menciptakan ekosistem yang kompleks untuk metode otomatis pada pasien kanker serviks, untuk mengurangi jumlah data berlabel dari masing-masing pakar, diusulkan strategi pembelajaran transfer berbasis regulasi yang mendorong model sumber dan target untuk berbagi tanda-tanda koefisien yang sama. Penelitian lain oleh Dewi Sulistyawati, et al [8] dimana pada penelitian tersebut merupakan penelitian observasional analitik dengan desain case control dengan kasus pasien dengan diagnosis kanker serviks. Data yang ada di analisis secara deskriptif dan menggunakan analisis bivariate dengan hasil 39 responden memiliki hampir persentase umur koitarke yang sama di Poliklinik Onkologi Terpadu (POSA rawat jalan) coiarche awal sebesar 43,6% dan coiarche akhir sebesar 56,4%.…”

“…Kegiatan preprocessing sangat berpengaruh terhadap proses klasifikasi yang juga merupakan langkah awal dalam data mining. Instance selection merupakan bagian dari preprocessing yang memiliki tujuan mengurangi ukuran data dengan menyaring data noise dari data yang diberikan [8]. Instance selection merupakan algoritma pemilihan yang diterapkan pada sejumlah himpunan bagian terpisah dari dataset yang juga merupakan partisi dari data yang tersedia.…”

Revealing the Potential of Compounds in Sappan Wood as Cervical Cancer Metastasis Chemopreventive Agent With MMP9 Target

“…Cervical cancer occupies the second position as cancer with the highest prevalence in Indonesia, with 50% of sufferers experiencing death (Sulistyawati, et al, 2020). Approximately 50% of cervical cancer patients die from metastasis (Wright and Kuhn, 2012).…”