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Record W2334669230 · doi:10.1097/lgt.0b013e3181dc115b

Self-Collection for Vaginal Human Papillomavirus Testing

2010· review· en· W2334669230 on OpenAlexaff
Jennifer Huynh, Michelle Howard, Alice Lytwyn

Bibliographic record

VenueJournal of Lower Genital Tract Disease · 2010
Typereview
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineSampling (signal processing)CINAHLMEDLINEConfidence intervalHuman papillomavirusClinical psychologyPreferenceFamily medicineGynecologyStatisticsPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: To systematically review literature on women's acceptance, preference, willingness, and attitudes toward human papillomavirus DNA vaginal self-sampling and assess study validity using the STROBE statement. MATERIALS AND METHODS: From September to October 2008, Ovid MEDLINE, EMBASE, and CINAHL databases were searched systematically over all years available. Participants were women who either completed vaginal self-sampling or were described the procedure. Studies were required to report women's acceptance, preference, willingness or attitudes toward self-sampling. Two independent reviewers assessed abstracts and articles for inclusion and collected study data. Disagreements were resolved by consensus. RESULTS: Twenty studies were included. Of 8 studies, 7 reported that women found self-sampling acceptable. Of the 13 studies, 8 found that more women (63%-94%) preferred self-sampling to clinician-collected sampling. Most women were also receptive to self-sampling as part of future screening. Common opinions expressed by women included an uncertainty if they had or could perform the self-test properly and greater confidence in clinician sampling. Only 2 studies used questionnaires that had been validated, and selection bias favoring self-sampling could not be ruled out in most studies. CONCLUSIONS: Vaginal human papillomavirus DNA self-sampling is generally well received among women. However, the possibility of selection bias and survey instrument measurement error may have led to an overestimate of women's favorable opinions for self-sampling. A self-sampling option may increase screening coverage, but concerns of women must also be addressed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.108
GPT teacher head0.427
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations65
Published2010
Admission routes1
Has abstractyes

Explore more

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