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Adjunct cervical cancer screening methods are under evaluation to improve the diagnostic accuracy of human papillomavirus (HPV)-based screening in low- and middle-income countries. We evaluated the feasibility and acceptability of smartphone-based cervicography among HPV-positive women living with HIV (WLWH) in Western Kenya.

HPV-positive WLWH of 25-49 years of age enrolled in a clinical trial (ClinicalTrials.gov identifier NCT04191967) had digital images of the cervix taken using a smartphone by a nonphysician provider following visual inspection with acetic acid. All participants had colposcopy-directed biopsy before treatment. Cervical images were evaluated by three off-site colposcopists for quality, diagnostic utility, and assigned a presumed diagnosis. We determined the proportion of images rates as low, medium, or high quality, interobserver agreement using Cohen's Kappa statistic, and the off-site colposcopist's sensitivity and specificity for diagnosis of cervical intraepithelial neoplasia grade hysician provider as an adjunct to HPV-based screening among WLWH in a low- and middle-income country setting is feasible and acceptable. However, low sensitivity for diagnosis of CIN2+ by off-site expert colposcopists highlights the limitations of cervicography.

Predictive biomarkers to identify patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer who may benefit from targeted therapy alone are required. We hypothesized that early measurements of tumor maximum standardized uptake value corrected for lean body mass (SULmax) on

F-labeled fluorodeoxyglucose positron emission tomography-computed tomography (PET-CT) would predict pathologic complete response (pCR) to pertuzumab and trastuzumab (PT).

Patients with stage II or III, estrogen receptor-negative, HER2-positive breast cancer received four cycles of neoadjuvant PT.

F-labeled fluorodeoxyglucose positron emission tomography-computed tomography was performed at baseline and 15 days after PT initiation (C1D15). Eighty evaluable patients were required to test the null hypothesis that the area under the curve of percent change in SULmax by C1D15 predicting pCR is ≤ 0.65, with a one-sided type I error rate of 10%.

Eighty-eight women were enrolled (83 evaluable), and 85% (75 of 8trogen receptor-negative and HER2-positive breast cancer. Once optimized, this quantitative imaging strategy may facilitate tailoring of therapy in this setting.

The outcomes of patients with myeloma from developing countries are often lacking because of poor record maintenance. Publications from such settings are also limited because of the retrospective nature of the data collection. Information technology can bridge these gaps in developing countries with real-time data maintenance. We present the real-time survival data of the patients with myeloma from a tertiary care center in North India using one such indigenously built software.

These are real-time data of all patients with myeloma presenting to a tertiary care center from North India. The patient characteristics (demographics, baseline disease characteristics, risk stratification, and outcomes) were recorded contemporaneously. The survival of the study population was analyzed and grouped based on various disease characteristics at diagnosis.

The median age of the study population (N = 696) was 65.9 (34.9-94.9) years with male predominance (65%). The median follow-up was 3.7 years (0-18.6 years) with th use of such software can aid in better data-keeping in resource-constrained settings.

The real-world data show OS comparable with the published western literature. Only anemia was found to have significant impact on survival. The use of such software can aid in better data-keeping in resource-constrained settings.

It remains unclear whether the plasma proteome adds value to established predictors in heart failure (HF) with reduced ejection fraction (HFrEF). We sought to derive and validate a plasma proteomic risk score (PRS) for survival in patients with HFrEF (HFrEF-PRS).

Patients meeting Framingham criteria for HF with EF<50% were enrolled (N=1017) and plasma underwent SOMAscan profiling (4453 targets). Patients were randomly divided 21 into derivation and validation cohorts. DEG-77 The HFrEF-PRS was derived using Cox regression of all-cause mortality adjusted for clinical score and NT-proBNP (N-terminal pro-B-type natriuretic peptide), then was tested in the validation cohort. Risk stratification improvement was evaluated by C statistic, integrated discrimination index, continuous net reclassification index, and median improvement in risk score for 1-year and 3-year mortality.

Participants' mean age was 68 years, 48% identified as Black, 35% were female, and 296 deaths occurred. In derivation (n=681), 128 proteinsIntroduction Clinical trials remain the gold standard for evaluating efficacy, but there is increasing interest in using real-world evidence (RWE) to inform health care decision making. The aims of this observational study were to describe patterns of medical cannabis use, associated changes in symptom severity over time, and to evaluate change in cannabis dose over time for pain-related symptoms. Methods Data were collected by Strainprint™, an application that is HIPAA, PIPEDA, and PHIPA compliant. A total of 629 participants recorded data between May 2017 and August 2019. A total of 65 symptoms were grouped as Pain, Mental Health, Physical Symptoms, Seizures, Headaches/Migraines, and Other. Descriptive statistics and mixed-effects modeling were applied. Results THC-dominant products were more frequently consumed for symptoms of pain and sleep, while CBD-dominant products were more frequently consumed for anxiety and depression. Male and female participants demonstrated significant differences in the type of cannabis they consumed. Females more frequently consumed CBD-dominant products, and males more frequently consumed balanced (THCCBD) products. Oil use was more prominent among females, while vaping was more common among males. Product use also varied by age tertiles (41 years. Dosages of CBD-dominant and balanced (THCCBD) products increased over time irrespective of symptom response. THC-dominant products demonstrated a significant relationship between dose and symptom reduction over time. Conclusions Recognizing that RWE has important methodological limitations, we observed cannabis product preferences based on demographic characteristics, such as gender and age and the primary symptom treated such as pain and anxiety. Our study offers real-world insights into how participants use and respond to cannabis products and suggests important avenues and methodologies for future research.

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