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Record W4408899052 · doi:10.1177/20551029251327438

Psychosocial aspects of quality of life outcomes in post-treatment human papillomavirus-associated cancer survivors in the United States: A scoping review

2025· review· en· W4408899052 on OpenAlexaff
Seiichi Villalona, Aravind Rajagopalan, Qianwei Chen, Julie Sumski, Sharon L. Manne

Bibliographic record

VenueHealth Psychology Open · 2025
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Financial Impacts of Cancer
Canadian institutionsInstitute of Aging
Fundersnot available
KeywordsPsychosocialQuality of life (healthcare)Human papillomavirusClinical psychologyPsychologyCancer survivorMedicineCancerGerontologyPsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

Human papillomavirus (HPV)-associated cancers (oropharyngeal, cervical, vulvar, vaginal, anorectal, and penile cancers) have previously been reported to have favorable survival outcomes making patients' quality of life (QoL) an important consideration for clinicians. This scoping review examined the literature on the post-treatment psychosocial QoL outcomes in patients HPV-associated cancers in the United States. The final set of 57 articles were comprised of patients that predominantly identified as Non-Hispanic White, females, or those with cervical or gynecologic cancers. Physical and psychological QoL were the most studied domains. Qualitative studies demonstrated salient themes including low health literacy on HPV-associated cancers, decreased sexual well-being, and increased feelings of stress and fear. Future work is needed in understanding psychosocial QoL in non-gynecologic HPV-associated cancers among individuals from underrepresented racial/ethnic groups, male patients, and those of lower socioeconomic status. Additionally, cancer-related stigma is relatively understudied among patients with HPV-associated cancers.

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)0.005
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: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.600
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0070.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.281
GPT teacher head0.527
Teacher spread0.246 · 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 designSystematic review
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

Citations2
Published2025
Admission routes1
Has abstractyes

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