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Record W3198334402 · doi:10.1089/lgbt.2021.0072

Psychosocial Needs and Experiences of Transgender and Gender Diverse People with Cancer: A Scoping Review and Recommendations for Improved Research and Care

2021· review· en· W3198334402 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLGBT Health · 2021
Typereview
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsSaskatchewan Cancer AgencyMemorial University of Newfoundland
FundersNational Cancer Institute
KeywordsTransgenderPsychosocialStakeholderPsychologyMedicineNursingPsychotherapistPublic relations

Abstract

fetched live from OpenAlex

The psychosocial needs and experiences of transgender and gender diverse (TGD) people is an understudied area of oncology research. In response to calls to action from past researchers, we conducted a scoping review, which included published and gray literature. From the included articles, the following key themes were identified: (1) lack of coordination between gender-affirming care and cancer care; (2) impact of cancer care on gender affirmation; (3) navigating gendered assumptions; (4) variation in providers' understanding of the needs of TGD patients; and (5) lack of TGD-specific cancer resources. Following this review, we consulted 18 key stakeholders with TGD-relevant personal and/or professional experience to gain further insight into issues that were not encompassed by the original themes. Based on these themes and stakeholder feedback, we offer recommendations for future research and clinical practice to increase awareness of the psychosocial needs of TGD people who have been diagnosed with cancer and to improve patient care.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.682
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.366
GPT teacher head0.587
Teacher spread0.221 · 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