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Record W299185831 · doi:10.1177/070674370404901220

Denial and Avoidance in an Unusual Case of Death from Breast Cancer

2004· article· en· W299185831 on OpenAlexvenueno aff
Henry J. Carson, Richard Fiester

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2004
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsDenialBreast cancerPsychologyMedicineCancerPsychiatryClinical psychologyPsychotherapistInternal medicine

Abstract

fetched live from OpenAlex

Dear Editor: We recently encountered the case of a woman who died in an atypical way as a result of coping with a breast mass by denial and avoidance. The patient, aged 48 years and white, lived at home with her husband and 2 young children. For 4 to 6 weeks preceding her death, she isolated herself from her family in the basement, explaining that she had personal issues that she was handling alone. She continued to work at her job, where her coworkers noted that she had become withdrawn. She was later found dead in the basement, surrounded by blood-soaked, foulsmelling clothing and gauze. There was a penetrating injury of the right breast and chest wall. An autopsy revealed that the injury was from a large ulcerated breast carcinoma, which eroded the chest wall and opened a large artery. There was no evidence of metastasis, which is the most common cause of death from breast cancer (1,2). Death owing to hemorrhage occurs in only approximately 9% of breast cancer patients (1,2) and is usually a complication of progressive disease. Death from a localized and usually curable primary tumor such as this one is most unusual. We believe the patient's denial and avoidance of her disease were psychosocial factors leading to this atypical mechanism of death from breast cancer. Denial can impede a woman's willingness to undergo screening examination (3). A substantial number of women may not recognize a breast abnormality on their own, before it is found by screening (4,5). They may use avoidant coping mechanisms that prevent them from checking for potential disease (4). Women who experience denial prior to disease identification are also more likely to maintain that denial later in the course of disease (5). After a diagnosis of breast cancer, a woman may experience denial based on fear of changes in self-image or sexuality or on concerns about the effect of the disease on her relationships with her partner or children (6). Coping strategies after diagnosis tend to assume a proactive character (3,7,8), however, and may include such activities as acceptance, positive reframing, use of religion, expressing emotion, adopting a fighting spirit, seeking support, asserting self-control, or diverting energy to other matters (7-9). While proactive coping strategies may seem to caregivers to be more productive in dealing with a serious disease, denial is not inherently a poor coping strategy. It can provide relief of psychological distress during difficult periods of treatment (3,7) and may be associated with remaining recurrence-free or experiencing prolonged duration of survival in women with local disease (3,10,11). …

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)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0090.007
Insufficient payload (model declined to judge)0.0030.001

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 head0.056
GPT teacher head0.376
Teacher spread0.320 · 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 designCase report
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".

Quick stats

Citations1
Published2004
Admission routes1
Has abstractyes

Explore more

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