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Objectives: To ensure that the emerging methods for human papillomavirus (HPV) testing on self-collected samples in cervical screening are evaluated robustly.
Study Design And Setting: We assess paired study designs for relative sensitivity of self-collected vs. traditional clinician-collected samples in detection of high-grade cervical intraepithelial neoplasia.
Results: Designs considered are (D1) both samples at screening, with clinical actions triggered by HPV positivity; (D2) offering a self-sample test to clinician-collected HPV-positive women; (D3) as D2 but using a repeat clinician-sample as comparator; (D4) offering a choice of self- vs. clinician-sampling, and the alternative test in HPV-positive women; (D5) paired samples at referral appointment. D1 is simple to analyze but requires the largest sample size and referral of self-sample positive, clinician-sample negative women. D2 requires a much smaller sample size, and no change to clinical practice, and could be used to rule-in a test because estimates are conservative (against self-sampling). D3 mitigates this bias but requires a second clinician sample. D4 is only manageable where self-sampling already occurs. The liberal D5 might be used to rule-out a self-sampling test.
Conclusion: A universal recommendation for an optimal study design is challenging. Staged validation might be useful with D5 as a gatekeeper for D1-D4.
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http://dx.doi.org/10.1016/j.jclinepi.2023.111227 | DOI Listing |
J Urban Health
September 2025
Department of Population Health, NYU Grossman School of Medicine, New York University, New York, NY, USA.
Housing insecurity is a key social determinant of a wide range of health outcomes, subject to large racial inequities, and with a likely sensitive period in childhood. Housing insecurity can manifest in multiple ways and change over time, but previous studies have primarily focused on single dimensions or a single time point. This study examines cumulative exposure to multiple forms of housing insecurity from birth to adolescence, overall, and by race in large US cities.
View Article and Find Full Text PDFJ Am Geriatr Soc
September 2025
Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.
Background: In the National Health and Aging Trends Study (NHATS), use of its Sensitive files leads to incomplete ascertainment of mortality, largely because of losses to follow-up. To account for these losses, we compared two censoring approaches for evaluating mortality.
Methods: In a hybrid approach, most participants were censored at the time of last contact, while the remainder were censored at the time of last completed interview.
Anal Chem
September 2025
Jiangsu Key Laboratory for Molecular and Medical Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing 210023, P. R. China.
Electroactive bacteria (EAB) hold great promise for the development of electrochemical biosensors given their unique ability to transfer electrons extracellularly via specialized pathways, a process termed extracellular electron transfer (EET). Ongoing research aims to overcome current limitations and fully harness the potential of EABs for high-performance biosensing applications. Herein, we report the fabrication of an electrochemical microsensor based on biomineralized electroactive bacteria, specifically MR-1.
View Article and Find Full Text PDFActa Psychiatr Scand
September 2025
Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Introduction: Machine learning studies sometimes include a high number of predictors relative to the number of training cases. This increases the risk of overfitting and poor generalizability. A recent study hypothesized that between-trial heterogeneity precluded generalizable outcome prediction in schizophrenia from being achieved.
View Article and Find Full Text PDFACS Synth Biol
September 2025
ARC Centre of Excellence in Synthetic Biology, Queensland University of Technology, Brisbane, QLD 4000, Australia.
Fluorescent proteins (FPs) are commonly used as reporters to examine intracellular genetic, molecular, and biochemical status. Flow cytometry is a powerful technique for accurate quantification of single-cell fluorescent levels. Here, we characterize green, red, and blue FPs for use in yeast .
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