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Record W2594595843 · doi:10.1158/1538-7755.disp16-c64

Abstract C64: Use of HPV self-sampling to increase screening for cervical cancer in indigenous and rural communities in Guatemala

2017· article· en· W2594595843 on OpenAlexaff
Anna Gottschlich, Audrey R. Murchland, Kristin Bevilacqua, Andrés M. Pineda, Alvaro Rivera‐Andrade, Christian S. Álvarez, Gina Ogilvie, Carlos Mendoza-Montano, Rafael Meza

Bibliographic record

VenueCancer Epidemiology Biomarkers & Prevention · 2017
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIndigenousCervical cancerPapanicolaou stainMedicineDemographyRural areaCancer screeningPap testDeveloping countryCervical screeningCancerEnvironmental healthCervical cancer screeningEconomic growth

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: Incidence and mortality rates of cervical cancer in Guatemala, as well as many other low- and middle-income countries, are considerably higher than rates in high-income countries. This is most likely due to low rates of cervical cancer screening in these countries, specifically in indigenous and rural populations. Current estimates suggest that less than 40% of women in Guatemala have ever been screened for cervical cancer, with much lower rates in indigenous and rural communities. We therefore proposed that reliance on Papanicolaou (Pap) and visual inspection with acetic acid (VIA) screening are not the most effective methods for controlling and preventing cervical cancer in indigenous and rural communities in Guatemala. Thus we investigated self-collection HPV tests as an alternative primary method of screening. HPV testing can be administered by a woman herself in the privacy of her home, thus mitigating issues of accessibility and privacy, which we believe to be barriers to screening experienced by women in these populations. We hypothesize that an HPV test will increase rates of follow-up care (Paps/VIAs) in these communities. Our prior study showed that HPV testing was highly acceptable in one indigenous group in Guatemala, and this study aims to expand upon those results to determine whether these tests are acceptable in other populations, and if there is an increase in follow-up care after use of these tests. METHODS: A randomly selected group of women (N=1000), ages 18-60, residing in two rural communities (Santiago Atitlan, which is approximately 70 kilometers outside of Guatemala City, and Livingston, which is on the Caribbean coast) will be surveyed June-July 2016 to assess risk factors and knowledge of HPV and cervical cancer. Eligible women (ages 25-56 who are not menstruating or pregnant and have not had a hysterectomy) will be asked to self-collect a vaginal sample to be tested for HPV to assess the prevalence in each community, as well as the acceptability of HPV self-sampling as an option for cervical cancer screening. We have seen that HPV testing is acceptable in Santiago, but are interested to see if the test is acceptable in other populations with different ethnic backgrounds. Women will be given their results from the HPV test within a month after data collection and then be contacted 6 months and 1 year after to determine if they followed-up on their results. RESULTS/FINDINGS: In our pilot study, 93% of women in Santiago were interested in providing a sample and 88% were eligible, showing that the test was highly acceptable in this community. We expect to see similar rates of acceptability in this follow-up study, however this study will be performed in different communities, with varying ethnic compositions, which could alter these rates. Additionally, in our pilot study, 21% of women tested positive for HPV, with 17% testing positive for high risk HPV. We again expect similar results for rates of HPV, but this could differ between communities. We will assess baseline rates of Pap/VIA screening in our surveys and hope to see increased rates of follow-up screening among women who have tested positive for HPV when we contact them at the 6-month and 1-year mark. We may also see increased rates of follow-up care in women who tested negative for HPV, as they have now been exposed to education and information about cervical cancer screening. CONCLUSIONS: Self-collection HPV testing appears to be an acceptable form of cervical cancer screening in at least one, if not more, indigenous and rural communities in Guatemala. This study will help determine if HPV testing increases the rate at which women receive Pap/VIA screening after receiving their HPV test result. With increased screening for cervical cancer in these communities, the incidence and mortality rates of this disease could be greatly reduced. **Data collection will conclude in August and all results will be analyzed prior to this conference. Citation Format: Anna Gottschlich, Audrey Murchland, Kristin Bevilacqua, Andres Pineda, Alvaro Rivera-Andrade, Christian Alvarez, Gina Ogilvie, Carlos Mendoza-Montano, Rafael Meza. Use of HPV self-sampling to increase screening for cervical cancer in indigenous and rural communities in Guatemala. [abstract]. In: Proceedings of the Ninth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2016 Sep 25-28; Fort Lauderdale, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(2 Suppl):Abstract nr C64.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.214
GPT teacher head0.472
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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