BACKGROUND: Despite several preventative and control measures Ethiopia continues to see an increase in cervical cancer. Comprehensive evidence is very important to suggest ministry of health. Therefore, the aim of this study is to estimate the pooled violence of Precancerous Cervical Lesion and to identify associated factors among women living with HIV AIDS in Ethiopia.
METHODS: From February 15, 2024 to March 17, 2024, systematic and methodical search of the literature was conducted using electronic databases such as PubMed, HINARI, Global Health, Scopus, EMBASE, Web of Science, African Journal online (AJOL), and Google Scholar. Quality appraisal was assessed based on Joanna Briggs Institute (JBI) critical appraisal checklist for analytical cross-sectional study using 9 criteria. The Cochrane Q and I2 test statistics were used to verify the heterogeneity of the studies. Using a fixed effect model, the pooled estimate prevalence of precancerous cervical lesion among women living with HIV was calculated.
RESULTS: After reviewing 9,470 studies, 9 studies involving 2,910 women with HIV were included. The pooled estimate of precancerous cervical cancer among women living with HIV in Ethiopia was 15.34% (95% CI: 8.97, 21.72). Having history of sexual infection (POR = 3.12; 95% CI: 1.38, 7.05), having multiple sexual partner (POR = 3.14; 95% CI: 2.29, 4.30), and parity greater than two (POR = 4.97; 95% CI: 3.17, 7.78) were identified factors associated with precancerous cervical lesion.
CONCLUSIONS: This study found that about one-six of HIV-positive women developed precancerous cervical lesion. According to this study, there was a substantial correlation between precancerous cervical lesion among HIV-positive women and having history of sexually transmitted infection, having multiple sexual partners, and being multipara. In order to reduce precancerous cervical lesion, FMOH, policy makers, and interested parties should pay particular attention to this issue.

Despite phototherapy (in the form of photodynamic therapy (PDT)-mediated oxidative stress) being utilized in the management of oral potentially malignant disorders (OPMDs), the evidence of certainty remains unclear. Hence, this systematic review and meta-analysis (PROSPERO # CRD42021218748) is aimed to evaluate the clinical efficacy of PDT-induced oxidative stress in OPMDs METHODS: PubMed, Embase, Web of Science, Scopus, and Cochrane Library databases were searched without restriction of language or year of publication. In addition, gray literature was searched and a manual search was performed. Two independent reviewers screened all the studies, assessing data extraction, risk of bias and certainty of evidence. A narrative synthesis was carried out. For the meta-analysis, random effects were considered to determine the prevalence of a total and a partial remission (PR) of oral potentially malignant disorders (OPMDs). The certainty of evidence was explored using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach.
Twenty-three studies were included in the qualitative and quantitative syntheses. A total of 880 patients were included (564 males; 218 females) with an age range between 24 and 89-years-old. The results showed the prevalence of the total and partial remissions respectively for the following OPMLs: actinic cheilitis (AC): 69.9% and 2.4%; oral leukoplakia (OL): 44% and 36.9%; oral verrucous hyperplasia (OVH): 98.5%; oral erythroleukoplakia (OEL): 92.1% and 7.9%. The prevalence of no remission of OL was 18.8%.
PDT demonstrated significant results in clinical remission of OPMDs and most of the eligible studies have shown a total or a partial remission of the included lesions, but at a low or a very low certainty of evidence. Hence, further clinical studies with robust methodology are warranted to offer further validated data. Also, further evidence is required to understand further the mechanism of PDT-induced oxidative stress.

UNASSIGNED: The reported rates of malignant transformation of dysplastic laryngeal lesions are highly variable, as is time to malignant degeneration.
UNASSIGNED: To evaluate the rate of and time to malignant transformation of dysplastic laryngeal lesions based on the World Health Organization (WHO) dysplasia classification system.
UNASSIGNED: PubMed, MEDLINE, Embase, CINAHL, CENTRAL, and Cochrane Reviews were searched from the date of database inception to June 8, 2023.
UNASSIGNED: English-language articles assessing the rate of malignant transformation using the 2005 WHO dysplasia classification system were included in this systematic review and meta-analysis.
UNASSIGNED: The study was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. Data extraction was performed by 2 independent investigators. Study quality was assessed using a validated quality tool. When possible, data were pooled using random-effects meta-analysis.
UNASSIGNED: The primary outcome measure was the malignant transformation rate in each laryngeal dysplasia category. Secondary outcome measure was the time interval over which malignant transformation had occurred.
UNASSIGNED: A total of 5585 records were screened, 61 full texts were assessed, and 18 retrospective cohort studies with 3243 participants were included in the final review. The weighted pooled mean malignant transformation rates of mildly, moderately, and severely dysplastic lesions were 10.9%, 23.3%, and 30.5%, respectively. Malignant transformation rate of nondysplastic laryngeal lesions was 4.5%. Moderately and severely dysplastic lesions had significantly higher odds of malignant transformation compared with mildly dysplastic lesions (moderate: odds ratio [OR], 2.90 [95% CI, 2.06-4.09]; I2 = 0%; severe: OR, 3.42 [95% CI, 2.11-5.52]; I2 = 40%). Lesions without dysplasia had a significantly lower odds of malignant transformation compared with lesions with mild dysplasia (OR, 0.48; 95% CI, 0.28-0.81; I2 = 0%). The overall mean time to malignant transformation was 28.8 months (range, 22.0-35.6 months) for all dysplasia grades.
UNASSIGNED: This systematic review and meta-analysis found that the rate of malignant transformation increased with the grade of laryngeal dysplasia. Moderately dysplastic lesions were more likely to undergo malignant degeneration compared with mildly dysplastic lesions.

OBJECTIVE: Gastric intestinal metaplasia is a precancerous disease, and a timely diagnosis is essential to delay or halt cancer progression. Artificial intelligence (AI) has found widespread application in the field of disease diagnosis. This study aimed to conduct a comprehensive evaluation of AI\'s diagnostic accuracy in detecting gastric intestinal metaplasia in endoscopy, compare it to endoscopists\' ability, and explore the main factors affecting AI\'s performance.
METHODS: The study followed the PRISMA-DTA guidelines, and the PubMed, Embase, Web of Science, Cochrane, and IEEE Xplore databases were searched to include relevant studies published by October 2023. We extracted the key features and experimental data of each study and combined the sensitivity and specificity metrics by meta-analysis. We then compared the diagnostic ability of the AI versus the endoscopists using the same test data.
RESULTS: Twelve studies with 11,173 patients were included, demonstrating AI models\' efficacy in diagnosing gastric intestinal metaplasia. The meta-analysis yielded a pooled sensitivity of 94% (95% confidence interval: 0.92-0.96) and specificity of 93% (95% confidence interval: 0.89-0.95). The combined area under the receiver operating characteristics curve was 0.97. The results of meta-regression and subgroup analysis showed that factors such as study design, endoscopy type, number of training images, and algorithm had a significant effect on the diagnostic performance of AI. The AI exhibited a higher diagnostic capacity than endoscopists (sensitivity: 95% vs. 79%).
CONCLUSIONS: AI-aided diagnosis of gastric intestinal metaplasia using endoscopy showed high performance and clinical diagnostic value. However, further prospective studies are required to validate these findings.

Oral epithelial dysplasia (OED) is a premalignant condition that carries an appreciable risk of malignant progression. The current grading system for severity, as defined by the World Health Organization, is a valuable clinical tool, but further work is required to improve the accuracy of predicting OED malignant progression. This systematic review aimed to assess progress in prognostic biomarker discovery in OED over the past 16 years. The primary objective was to update the latest evidence on prognostic biomarkers that may predict malignant progression of OED, with strict inclusion criteria of studies with a longitudinal design and long-term follow-up data to enhance the robustness and translational clinical potential of the findings. Of 2829 studies identified through the searching of five databases, 20 met our inclusion criteria. These studies investigated a total of 32 biomarkers, 20 of which demonstrated significant potential to predict malignant progression of OED. Meta-analysis demonstrated the significant prognostic value of four biomarkers: podoplanin, EGFR expression, p16 methylation, and DNA aneuploidy. Our review has identified 20 reported biomarkers with prognostic potential to predict malignant progression in OED, but their translation into clinical practice remains elusive. Further research is required, and this should focus on validating the promising biomarkers identified in large cohort studies, with adherence to standardised reporting guidelines.

To analyze the frequency of sequential oral squamous cell carcinomas (s-OSCC), preceded by oral potentially malignant disorders, and OSCC de novo (OSCC-dn) and explore differences in their clinicopathologic presentations.
A structured electronic search strategy identified studies that analyzed frequency, clinical, biological, demographic, biomarkers, and prognostic features of s-OSCC and OSCC-dn according to PRISMA guidelines in PubMed, Scopus, Cochrane Library, and Google Scholar, up to January 31, 2023. Inclusion criteria were original English, Spanish, Portuguese, French, Italian, and German cross-sectional, cohort, and case-control studies. The quality of studies was assessed using the Agency for Research and Health Quality tool and the Newcastle-Ottawa Scale tool.
The final selection included 40 studies. OSCC-dn and s-OSCC represent, respectively, 71% and 29% of cases of OSCC (P = .00), showing a higher percentage of T1 or of T1+T2 in s-OSCC (P < .0001). The association meta-analysis showed OSCC-dn with a significant association. The meta-analysis showed that s-OSCC was significantly associated with smaller tumor size, absence of distant metastases, relapses, male sex, and tumor sites different from tongue; and OSCC-dn was associated with more advanced tumor size, more regional and distant metastases, more advanced stages, and worse survival.
S-OSCC was less frequent than expected. OSCC-dn seems to have specific clinical, biological, and prognostic features. Future perspectives on oral cancer prevention should address novel approaches and alternatives to screening, such as urgent referral of OSCC-dn.

BACKGROUND: Oral Potentially Malignant Disorders (OPMDs) refer to a heterogenous group of clinical presentations with heightened rate of malignant transformation. Identification of risk levels in OPMDs is crucial to determine the need for active intervention in high-risk patients and routine follow-up in low-risk ones. Machine learning models has shown tremendous potential in several areas of dentistry that strongly suggest its application to estimate rate of malignant transformation of precancerous lesions.
METHODS: A comprehensive literature search was performed on Pubmed/MEDLINE, Web of Science, Scopus, Embase, Cochrane Library database to identify articles including machine learning models and algorithms to predict malignant transformation in OPMDs. Relevant bibliographic data, study characteristics, and outcomes were extracted for eligible studies. Quality of the included studies was assessed through the IJMEDI checklist.
RESULTS: Fifteen articles were found suitable for the review as per the PECOS criteria. Amongst all studies, highest sensitivity (100%) was recorded for U-net architecture, Peaks Random forest model, and Partial least squares discriminant analysis (PLSDA). Highest specificity (100%) was noted for PLSDA. Range of overall accuracy in risk prediction was between 95.4% and 74%.
CONCLUSIONS: Machine learning proved to be a viable tool in risk prediction, demonstrating heightened sensitivity, automation, and improved accuracy for predicting transformation of OPMDs. It presents an effective approach for incorporating multiple variables to monitor the progression of OPMDs and predict their malignant potential. However, its sensitivity to dataset characteristics necessitates the optimization of input parameters to maximize the efficiency of the classifiers.

The objective of this meta-analysis is to delineate the association between H. pylori CagA serological status and the prevalence of gastric precancerous lesions (GPL). We searched peer-reviewed articles up to October 2023. The extraction of data from the included studies was carried out as well as the quality assessment. Pooled effect sizes were calculated using a random effect model. Thirteen studies met the inclusion criteria, comprising 2728 patients with GPL and 17 612 controls. The aggregate odds ratio (OR) for the association between serum CagA and GPL was 2.74 (95% CI = 2.25-3.32; P  = 0.00; I 2  = 60.4%), irrespective of H. pylori infection status. Within the H. pylori -infected cohort, the OR was 2.25 (95% CI = 1.99-2.56; P  = 0.00; I 2  = 0.0%). Conversely, among the non-infected individuals, the OR was 1.63 (95% CI = 1.04-2.54; P  = 0.038; I 2  = 0.0%). Heterogeneity was explored using subgroup and meta-regression analyses, indicating that the variability between studies likely stemmed from differences in disease classification. Our results demonstrated robustness and negligible publication bias. The meta-analysis underscores a more pronounced association between H. pylori CagA seropositivity and the risk of developing GPL than between seronegativity and the same risk, irrespective of H. pylori infection status at the time. Additionally, the strength of the association was heightened in the presence of an active H. pylori infection. The implications of these findings advocate for the utility of CagA serostatus as a potential biomarker for screening GPL.

Different efforts have been made to find better and less invasive methods for the diagnosis and prediction of oral cancer, such as the study of saliva as a source of biomarkers. The aim of this study was to perform a scoping review about salivary molecules that have been assessed as possible biomarkers for the diagnosis of oral squamous cell carcinoma (OSCC). A search was conducted using EBSCO, PubMed (MEDLINE), Scopus, and Web of Science. The research question was as follows: which molecules present in saliva have utility to be used as biomarkers for the early detection of oral cancer? Sixty-two studies were included. Over 100 molecules were assessed. Most of the markers were oriented towards the early diagnosis of OSCC and were classified based on their ability for detecting OSCC and oral potentially malignant disorders (OPMDs), OSCC outcome prediction, and the prediction of the malignant transformation of OPMDs. TNF-α, IL-1β, IL-6 IL-8, LDH, and MMP-9 were the most studied, with almost all studies reporting high sensitivity and specificity values. TNF-α, IL-1β, IL-6 IL-8, LDH, and MMP-9 are the most promising salivary biomarkers. However, more studies with larger cohorts are needed before translating the use of these biomarkers to clinical settings.

OBJECTIVE: This review will determine the prevalence and incidence of oral cancer and pre-cancerous lesions in indigenous populations.
BACKGROUND: There are approximately 476 million indigenous individuals worldwide. Oral cancer affected over 350,000 people globally in 2018, with approximately 80% of cases occurring in the indigenous population. Moreover, the incidence of pre-cancerous lesions is high in this population, accounting for 48.3%. Limited evidence exists regarding the burden of oral cancer among indigenous populations despite research on oral health disparities in this group.
METHODS: Studies on the burden of oral cancer and pre-cancerous lesions in indigenous groups, considering rates, ratios (prevalence or mortality), or survival proportions, will be considered for inclusion. There will be no limitations on study design, language, age, gender, or geography. We will exclude studies that only identify, diagnose, or screen oral cancer and pre-cancerous lesions without mentioning prevalence and incidence.
METHODS: This review will follow the JBI methodology for systematic reviews of prevalence and incidence. Databases to be searched will include MEDLINE (Ovid), Embase (Ovid), CINAHL (EBSCOhost), Cochrane Central Register of Controlled Trials, Scopus, and Dentistry and Oral Sciences Source (EBSCOhost). ProQuest Dissertations and Theses, OAIster, International Association for Dental Research conference abstracts, Google Scholar, government reports, and cancer registry reports will also be screened for unpublished studies. Two reviewers will independently screen articles, and data will be extracted using a customized form. Narrative data synthesis will be conducted and, where appropriate, meta-analysis will be performed. Methodological quality will be assessed using JBI\'s critical appraisal tool for prevalence studies.
BACKGROUND: PROSPERO CRD42023402858.