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Record W3030956223 · doi:10.1177/1557988320925691

Bridging Barriers to Cervical Cancer Screening in Transgender Men: A Scoping Review

2020· review· en· W3030956223 on OpenAlexaff
Navdeep Dhillon, John L. Oliffe, Mary T. Kelly, Jennifer Krist

Bibliographic record

VenueAmerican Journal of Men s Health · 2020
Typereview
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTransgenderCervical cancerMedicineContext (archaeology)Health careFamily medicineHealth equityPopulationHuman papillomavirusGynecologyCancerEnvironmental healthNursingPsychologyPublic healthInternal medicinePolitical science

Abstract

fetched live from OpenAlex

Estimates of high-risk human papillomavirus (HPV) infection and susceptibility to HPV-related cancer in transgender men (TM) are comparable to prevalence rates found in cisgender women. Regular and thorough screening for cervical cancer is equally as crucial for TM as for cisgender women; however, despite continued risk for cervical cancer in TM and associated recommendations for screening, studies indicate disparities in rates of cervical cancer screening (CCS) in TM compared to cisgender women. The current scoping review explores TM’s knowledge and experiences of CCS and barriers to screening uptake in this population. A range of barriers were identified including the need for health-care services to provide care for TM within the context of a nonbinary approach to gender identity and health. Findings synthesized from relevant research studies ( n = 15; published 2008–2019) are presented, and recommendations are drawn from these findings to inform primary health-care providers’ clinical practice and care of TM.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.872
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.109
GPT teacher head0.506
Teacher spread0.397 · 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 designOther design
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

Citations92
Published2020
Admission routes1
Has abstractyes

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