Prevalence Oncogenic Human Papillomavirus in Cervical Cancer Patients in Riau Province Indonesia

Savira, Maya; Suhaimi, Donel; Putra, Andani Eka; Yusrawati, Yusrawati; Lipoeto, Nur Indrawati

doi:10.52547/rbmb.10.4.573

Cited by 3 publications

(3 citation statements)

References 21 publications

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“…Between 2015 and 2017, individual data from a countrywide cervical cancer screening program in rural China were collected. The researchers looked at 1,160,981 women aged 35 to 64 who received either cytology alone or high-risk HPV testing plus cytology or genotyping triage (Savira et al, 2022). Regardless of age, income, or country of residence, women found HPV self-sampling to be extremely acceptable.…”

Section: Literature Surveymentioning

confidence: 99%

SKCV: Stratified K-fold cross-validation on ML classifiers for predicting cervical cancer

Prusty

Patnaik

Dash

2022

Front. Nanotechnol.

102

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Cancer is the unregulated development of abnormal cells in the human body system. Cervical cancer, also known as cervix cancer, develops on the cervix’s surface. This causes an overabundance of cells to build up, eventually forming a lump or tumour. As a result, early detection is essential to determine what effective treatment we can take to overcome it. Therefore, the novel Machine Learning (ML) techniques come to a place that predicts cervical cancer before it becomes too serious. Furthermore, four common diagnosis testing namely, Hinselmann, Schiller, Cytology, and Biopsy have been compared and predicted with four common ML models, namely Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbors (K-NNs), and Extreme Gradient Boosting (XGB). Additionally, to enhance the better performance of ML models, the Stratified k-fold cross-validation (SKCV) method has been implemented over here. The findings of the experiments demonstrate that utilizing an RF classifier for analyzing the cervical cancer risk, could be a good alternative for assisting clinical specialists in classifying this disease in advance.

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Section: Literature Surveymentioning

confidence: 99%

SKCV: Stratified K-fold cross-validation on ML classifiers for predicting cervical cancer

Prusty

Patnaik

Dash

2022

Front. Nanotechnol.

102

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“…Faktor predisposisi fluor albus pada wanita meliputi umur, status pernikahan, paritas, siklus menstruasi, metode kontrasepsi, riwayat gangguan reproduksi, tingkat pendidikan, dan pekerjaan (Imelda & Nurbaiti, 2018). Fluor albus merupakan gejala kedua terbanyak yang dialami oleh para wanita penderita kanker cervix setelah perdarahan pervaginam (Savira, et al, 2022). Sejauh ini, peneliti belum menemukan penelitian lain yang mengandung koneksi antara kejadian fluor albus dengan citra tubuh yang beredar secara daring.…”

Section: Pembahasanunclassified

Perubahan Citra Tubuh dan Daya Tarik Seksual Pasca Kanker Ginekologi: Perspektif Seorang Wanita

Sari

Manungkalit²

2022

Mal Nurse J.

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Body image is one component of self-concept that forms individual perceptions of sexual attractiveness. Women with gynecologic cancer experience many physical changes from the diagnosis to therapy period. Therefore, they may experience changes in their perception of body image and sexual attractiveness. This study aims to explore changes in body image impacting sexual attractiveness after gynecological cancer diagnosis from women’s perspective. This qualitative study used a phenomenological design. The population was all women with gynecological cancer in the working area of the Pacar Keling Health Center, Surabaya. Informants were selected by purposive sampling (n=12). Instruments were interview guide, observation sheet, and voice recorder. Data analysis used thematic analysis with a nine-step approach of Collaizi method. The results validity was obtained through data triangulation to informants, researcher’s experience, and literature review. The majority was elderly with sufficient education, married, and live with their husbands. Breast cancer was the main cases. Pain was the most complained by informants. Most of them had undergone trimodality of cancer therapy. Physical changes occured include cancer wounds, post-op wounds, various physical symptoms of cancer, fatigue, gastrointestinal symptoms, hair loss, darkening of the skin, and pain. All of these changes may trigger negative and positive emotions. Informants stated that their body image did not change significantly, so there was no change in perception of sexual attractiveness after cancer. In general, there is no change in post-cancer body image triggered by gynecological cancer-related physical changes, so that there is no change in perception of sexual attractiveness in women with gynecologic cancer. Keywords: Body Image, Gynecological Cancer, Physical Changes, Sexual Attractiveness, Women’s Perspective ABSTRAK Citra tubuh merupakan salah satu komponen dari konsep diri yang membentuk persepsi individu terhadap daya tarik seksualnya. Wanita penderita kanker ginekologi mengalami banyak perubahan fisik sejak didiagnosis hingga masa terapi sehingga berpotensi mengalami perubahan persepsi terhadap citra tubuh dan daya tarik seksualnya. Penelitian ini bertujuan untuk mengeksplorasi perubahan citra tubuh yang berdampak pada daya tarik seksual pasca diagnosis kanker ginekologi dari sudut pandang wanita penderita kanker. Penelitian kualitatif ini menggunakan desain fenomenologi. Populasi adalah semua wanita penderita kanker ginekologi di wilayah kerja Puskesmas Pacar Keling, Surabaya. Informan dipilih dengan teknik purposive sampling (n=12). Instrumen meliputi pedoman wawancara, lembar observasi, dan alat perekam suara. Analisis data menggunakan analisis tematik dengan pendekatan sembilan tahap metode Collaizi. Validitas hasil penelitian diperoleh melalui triangulasi data kepada informan, pengalaman peneliti, dan telaah pustaka. Mayoritas informan berusia lanjut dengan pendidikan yang cukup, berstatus menikah dan tinggal serumah dengan suaminya. Penyakit yang diderita mayoritas kanker payudara dengan keluhan utama nyeri dan sudah menjalani trimodalitas terapi kanker. Perubahan fisik yang terjadi meliputi luka kanker, luka post-op, gejala fisik kanker yang bervariasi, fatigue, gejala gastrointestinal, rambut rontok, kulit menghitam, dan rasa nyeri. Semua hal itu dapat memicu timbulnya emosi negatif maupun positif. Informan menyatakan citra tubuh tidak berubah secara signifikan, sehingga tidak terjadi perubahan persepsi terhadap daya tarik seksual pasca kanker. Secara umum, tidak terjadi perubahan citra tubuh pasca kanker yang dipicu oleh perubahan fisik sehingga tidak terjadi perubahan persepsi terhadap daya tarik seksual wanita penderita kanker ginekologi. Kata Kunci: Citra Tubuh, Daya Tarik Seksual, Kanker Ginekologi, Perspektif Wanita, Perubahan Fisik

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“…Notably, there has been an increased upsurge in ADC incidence, which is more prevalent among young adult women (Fujiwara et al, 2014). The primary risk factor contributing to CC is the presence of oncogenic human papillomavirus (HPV) (Savira et al, 2022). Previous studies have revealed that HPV 16 and 18 types account for approximately 70% of HPV infections (Aalijahan and Ghorbian, 2019).…”

Section: Introductionmentioning

confidence: 99%

The role of long non-coding RNAs and circular RNAs in cervical cancer: modulating miRNA function

Heidari-Ezzati,

Moeinian,

Ahmadian-Nejad

et al. 2024

Front. Cell Dev. Biol.

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Prevalence Oncogenic Human Papillomavirus in Cervical Cancer Patients in Riau Province Indonesia

Cited by 3 publications

References 21 publications

SKCV: Stratified K-fold cross-validation on ML classifiers for predicting cervical cancer

SKCV: Stratified K-fold cross-validation on ML classifiers for predicting cervical cancer

Perubahan Citra Tubuh dan Daya Tarik Seksual Pasca Kanker Ginekologi: Perspektif Seorang Wanita

The role of long non-coding RNAs and circular RNAs in cervical cancer: modulating miRNA function

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