Background: Cervical cancer is a cancer of uterine cervix caused mostly by sexually-acquired infection called Human papillomavirus (HPV. In developing region of the globe, fewer than 50% of women with cervical malignancy survive more than 5 years. Therefore, the objective of this study was to assess survival status and associated factors of death among cervical cancer patients attending at Tikur Anbesa Specialized Hospital (TASH), Ethiopia.
Methods: Facility based retrospective cohort study was conducted from March to April 2019 at Tikur Anbesa Specialized Hospital oncology center. Data was collected from patient's chart using pre-tested and structured checklist prepared in English and analyzed using STATA14.2. Cox regression model was used to identify Variables that affected survival.
Result: The overall survival rate was 38.62% at 5 years. There were a significance differences in survival experience between categories of stage of cervical cancer, age of patients, comorbidity, substance use, base line anemia and treatment modalities. Being stage IV [AHR = 11.76; 95% CI (4.02-34.4)],being advanced age [AHR = 5.99; 95% CI (2.1-17.08)], being comorbid [AHR = 1.58; 95%CI(1.14-2.19)], using substance [AHR = 1.56;95% CI(1.09-2.22)] and being anemic [AHR = 1.6;95% CI(1.11-2.36)] increased the risk of death.
Conclusion: The overall survival rate was lower than high- and middle-income countries and Significant factors of death after diagnosis of cervical cancer were; advanced FIGO stage, base line anemia, comorbidity, substance use, advanced age and treatment modality. Authors recommend that it is better to expand cervical cancer early screening programs and treatment facilities, strengthen awareness in collaboration with public medias about cervical cancer prevention, screening and treatment options.
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http://dx.doi.org/10.1186/s12885-019-6447-x | DOI Listing |
BMJ Case Rep
January 2025
Obstetrics and Gynecology, All India Institute of Medical Sciences, New Delhi, Delhi, India.
Malignant peripheral nerve sheath tumours (MPNSTs) are aggressive sarcomas that occur rarely in the cervix. Considering the varied clinical features and the absence of a pathognomonic immunohistochemical marker, it is always challenging to diagnose these tumours. Treatment has not been standardised as yet, but a combination of surgery, radiotherapy and chemotherapy is used to treat MPNSTs of the cervix.
View Article and Find Full Text PDFClin Nucl Med
January 2025
From the Department of Nuclear Medicine (PET-CT Center), National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
A 13-year-old girl presented with dysphagia underwent contrast-enhanced CT and endoscopy. The CT revealed cervical esophageal wall thickening with heterogeneous enhancement. Microscopic examination of the biopsy specimen suggested a possible mesenchymal tumor.
View Article and Find Full Text PDFJ Inorg Biochem
January 2025
Department of Chemistry, Karpagam Academy of Higher Education, Coimbatore 641 021, India; Centre for Material Chemistry, Karpagam Academy of Higher Education (Deemed to be University), Coimbatore 641 021, India. Electronic address:
A series of new Pd(II) complexes were synthesized from the reaction of andrographolide appended hydrazide derivatives with potassium tetrachloropalladate K[PdCl]. The formation of the complexes was confirmed through structural assessments conducted using various spectroscopic techniques. From the spectral studies we confirmed that the ligands coordinated to Pd(II) ion via amine nitrogen and enone oxygen.
View Article and Find Full Text PDFNutrition
January 2025
Department of Clinical Nutrition, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, 14080 Mexico City, Mexico. Electronic address:
Background: The most frequent early gastrointestinal (GI) toxicity symptoms are nausea (58%), diarrhea (46.7%), and vomiting (45.5%) in patients with cervical cancer (CC).
View Article and Find Full Text PDFComput Biol Med
January 2025
Institute of the Cervix, Paris, France. Electronic address:
Background: The current cervical cancer screening and diagnosis have limitations due to their subjectivity and lack of reproducibility. We describe the development of a deep learning (DL)-based diagnostic risk prediction model and evaluate its potential for clinical impact.
Method: We developed and internally validated a DL model which accommodates both clinical data and colposcopy images in predicting the patients CIN2+ status using a retrospective cohort of 6356 cases of LEEP-conization/cone-biopsy (gold-standard diagnosis) following an abnormal screening result.
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