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Record W7051822523

Pilot study of a survey to identify the prevalence and risk factors for chronic neuropathic pain in women following breast cancer surgery

2010· dissertation· en· W7051822523 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2010
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsBreast cancerNeuropathic painQuality of life (healthcare)AnalgesicComplicationChronic painBreast surgery
DOInot available

Abstract

fetched live from OpenAlex

Breast cancer is the most common cancer among Canadian women. Chronic neuropathic pain post breast surgery (PPBS), also known as chronic post mastectomy/lumpectomy pain syndrome, is a poorly understood complication posing a significant clinical challenge with major negative impact on patients' quality of life. This study aims to: 1) provide a preliminary determination of the prevalence rate of women who suffer from PPBS; and 2) explore potential risk factors associated with women developing PPBS. This pilot study used a prospective, longitudinal, quantitative survey design, with a demographic questionnaire and the Brief Pain Inventory. Seventeen women were recruited at a breast health clinic in Western Canada; 23.5% developed PPBS. Younger age (≤50 years), more invasive surgery, acute post-operative pain, and less analgesic use at the acute post-operative period, were more commonly found in the women who developed PPBS. Future research is required to confirm the significance of these potential risk factors.

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)0.004
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 score0.123
Threshold uncertainty score0.244

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.025
GPT teacher head0.264
Teacher spread0.239 · 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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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