ArticleBMC women's health2025
Prevalence and predictors of cervical lesions among women on ART in the Awi Zone, Northwest Ethiopia: facility-based cross-sectional study.
Article in BMC women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrecancerous and suspicious cervical cancer lesions refer to abnormal changes in cervical cells that may develop into malignancy if left untreated. Women living with Human Immunodeficiency Virus (HIV) face a significantly higher burden of AIDS-defining malignancies, particularly invasive cervical cancer. Their risk of developing cervical cancer is approximately six times greater than that of HIV-negative women. Despite the elevated risk, there is limited evidence in understanding the prevalence of cervical lesions among women living with HIV (WLHIV) who undergo cervical cancer screening in Ethiopia. This gap underscores the need for further research to inform targeted interventions and improve health outcomes for these high-risk populations.
methodsA facility-based cross-sectional study was conducted among 583 adult WLHIV in the Awi Zone, Northwest Ethiopia. Both primary and secondary data were collected between January and May 2023 to address the study objectives. Data were entered into Epidata version 4.6 and exported to SPSS version 26 for analysis. A bivariable and multivariable binary logistic regression model was fitted to identify factors associated with the outcome variable. Statistical significance was determined at a p-value of less than 0.05 and a 95% confidence interval (CI).
resultsThe magnitude of precancerous and/or suspicious cervical cancer lesions (PCCLs) among women living with HIV was 24.9% (95% CI: 21.3-28.1%). The likelihood of developing precancerous and suspicious cervical cancer lesions was higher among individuals with a baseline CD4 + cell count of < 200 cells/mm³ (AOR = 3.82, 95% CI: 2.44-5.39), a history of sexually transmitted infections other than HIV (AOR = 3.97; 95% CI: 1.97-5.70), use of oral contraceptives (AOR = 2.18; 95% CI: 1.40-3.40), having two or more sexual partners (AOR = 2.86; 95% CI: 1.79-4.55), fair adherence to antiretroviral therapy (ART) (AOR = 2.81; 95% CI: 1.39-5.64), and poor ART adherence (AOR = 3.25; 95% CI: 1.87-7.43).
conclusionIn this study, a relatively high prevalence of precancerous lesions was found among WLHIV compared to previous studies in Ethiopia. Behavioral, clinical, and reproductive health-related factors were linked to the occurrence of the disease. These findings underscore the importance of giving special attention to high-risk women through targeted screening and preventive interventions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.