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Staged design recommendations for validating relative sensitivity of self-sample human papillomavirus tests for cervical screening
by
Brentnall, Adam R.
, Berkhof, Johannes
, Cuschieri, Kate
, Rebolj, Matejka
, Sargent, Alexandra
in
Accuracy
/ Bias
/ Cervical cancer
/ Design
/ Early Detection of Cancer - methods
/ Female
/ HPV
/ Human papillomavirus
/ Human Papillomavirus Viruses
/ Humans
/ Internal Medicine
/ Mass Screening - methods
/ Medical screening
/ Papillomaviridae
/ Papillomavirus Infections - diagnosis
/ Sampling
/ Screening
/ Self-sampling
/ Sensitivity and Specificity
/ Standard of care
/ Study design
/ Uterine Cervical Neoplasms - diagnosis
/ Validation
/ Women
2024
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Staged design recommendations for validating relative sensitivity of self-sample human papillomavirus tests for cervical screening
by
Brentnall, Adam R.
, Berkhof, Johannes
, Cuschieri, Kate
, Rebolj, Matejka
, Sargent, Alexandra
in
Accuracy
/ Bias
/ Cervical cancer
/ Design
/ Early Detection of Cancer - methods
/ Female
/ HPV
/ Human papillomavirus
/ Human Papillomavirus Viruses
/ Humans
/ Internal Medicine
/ Mass Screening - methods
/ Medical screening
/ Papillomaviridae
/ Papillomavirus Infections - diagnosis
/ Sampling
/ Screening
/ Self-sampling
/ Sensitivity and Specificity
/ Standard of care
/ Study design
/ Uterine Cervical Neoplasms - diagnosis
/ Validation
/ Women
2024
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Staged design recommendations for validating relative sensitivity of self-sample human papillomavirus tests for cervical screening
by
Brentnall, Adam R.
, Berkhof, Johannes
, Cuschieri, Kate
, Rebolj, Matejka
, Sargent, Alexandra
in
Accuracy
/ Bias
/ Cervical cancer
/ Design
/ Early Detection of Cancer - methods
/ Female
/ HPV
/ Human papillomavirus
/ Human Papillomavirus Viruses
/ Humans
/ Internal Medicine
/ Mass Screening - methods
/ Medical screening
/ Papillomaviridae
/ Papillomavirus Infections - diagnosis
/ Sampling
/ Screening
/ Self-sampling
/ Sensitivity and Specificity
/ Standard of care
/ Study design
/ Uterine Cervical Neoplasms - diagnosis
/ Validation
/ Women
2024
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Staged design recommendations for validating relative sensitivity of self-sample human papillomavirus tests for cervical screening
Journal Article
Staged design recommendations for validating relative sensitivity of self-sample human papillomavirus tests for cervical screening
2024
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Overview
To ensure that the emerging methods for human papillomavirus (HPV) testing on self-collected samples in cervical screening are evaluated robustly.
We assess paired study designs for relative sensitivity of self-collected vs. traditional clinician-collected samples in detection of high-grade cervical intraepithelial neoplasia.
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.
A universal recommendation for an optimal study design is challenging. Staged validation might be useful with D5 as a gatekeeper for D1-D4.
•It is important to understand self-collected human papillomavirus (HPV) test sensitivity.•Most studies done previously in the field are at risk of spectrum bias.•Currently no consensus study design guidelines, unlike for clinician-collected HPV assays.•Paired designs to estimate relative sensitivity of self-collection tests are reviewed.•A flexible, staged, adaptive design for evaluation is recommended.
Publisher
Elsevier Inc,Elsevier Limited
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