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Record W2523420660

Psychological Distress and Symptom Burden: Vulnerabilities in Chronic Lymphocytic Leukemia Patients

2013· article· en· W2523420660 on OpenAlexfundno aff
Eleshia J. P. Morrison

Bibliographic record

VenueOhioLink ETD Center (Ohio Library and Information Network) · 2013
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsnot available
FundersMcGill University
KeywordsChronic lymphocytic leukemiaDistressMedicinePsychological distressLeukemiaIntensive care medicineClinical psychologyPsychiatryInternal medicineAnxiety
DOInot available

Abstract

fetched live from OpenAlex

Chronic lymphocytic leukemia is the most common adult leukemia in the U.S. (American Cancer Society, 2010).CLL is chronic and incurable.Most patients with early-stage disease do not receive treatment, but instead undergo active surveillance for disease progression.Cancer is associated with distress (Zabora et al., 2001), the risk of which is heightened in the presence of vulnerability factors (Harrison & Maguire, 1994).Distress is also associated with reporting of physical symptoms (Carr et al., 2002).This cross-sectional study examined the moderating role of vulnerability factors in the relationship between distress and physical symptom burden in a sample of untreated CLL patients (N=112).Participants were Caucasian (100%), had a mean age of 61 (range: 37-76), with the majority (62.5%) having stage 0 disease (I: 32.1%; II: 4.5%).Gender distribution was relatively even (55% male).Moderators of interest were psychiatric history (diagnosis, pharmacotherapy, psychotherapy); lack of partner status and low relationship satisfaction; low social support; and low socioeconomic status.Interaction effects were tested using multiple linear regression.Physical symptom burden and distress were bidirectionally predictive.Significant moderators were: pharmacotherapy, psychotherapy, and low social support.Post hoc analyses of social support showed that low appraisal (i.e.availability of someone with whom to discuss problems) and low belonging (i.e.availability of companionship) support were also significant moderators.These findings have implications for identifying active surveillance patients at risk for worse physical and psychological adjustment while coping with CLL.One of my earliest mentors was Professor John R.Z.Abela (1971-2010), with whom I worked during my years at McGill University.Dr. Abela, thank you for your mentorship, insight, humor, and encouragement.The impact of your absence is truly felt.Thank you to current and past members of the Stress and Immunity Cancer Projects lab for the camaraderie

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)0.000
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.238
Teacher spread0.229 · 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
Published2013
Admission routes1
Has abstractno

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