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The potential for lost productivity in lung cancer patients

2006· article· en· W2227540121 on OpenAlex
Dianne Zawisza, Carmela Pepe, Nicole Mittmann, Ronald Feld, Frances A. Shepherd, Natasha B. Leighl

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

VenueJournal of Clinical Oncology · 2006
Typearticle
Languageen
FieldMedicine
TopicMultiple and Secondary Primary Cancers
Canadian institutionsPrincess Margaret Cancer CentreHealth Sciences CentreUniversity Health NetworkSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineSpouseLung cancerCancerQuality of life (healthcare)ProductivitySick leaveFamily medicinePhysical therapyInternal medicineNursing

Abstract

fetched live from OpenAlex

6093 Background: Lung cancer significantly impacts on a patient’s personal and professional life. Little is known about lung cancer patients’ lost productivity, which in turn has an important effect on society. We undertook this descriptive study to learn about lost productivity experienced by lung cancer patients and their caregivers. Methods: 40 consecutive patients attending outpatient lung clinics at a major cancer centre completed questionnaires assessing demographic details, patient and caregiver productivity, and quality of life (EQ5D, FACT-L). Results: 52.5% of respondents were male. Median age was 67 years (range 36 -81). Median disclosed income was $20,000–$39,999; 46.2% had pursued post-secondary training. 70% were ex-smokers, 40% had NSCLC, 27% SCLC, while a third did not know their diagnosis. Treatments received included IV chemotherapy (62.5%), oral therapy (20%), radiation (55%), surgery (42.5%) and 5% no treatment. Over 25% were working full-time prior to diagnosis, 40% were retired. None were able to continue full-time employment; 20% required disability or sick leave. 8 (20%) were able to work part-time. Of those still working, a median of 14 h were missed due to illness in the preceding 3 weeks, with a median of 32 h worked in that period. Patients reported an overall moderate (5/10) impact on their productivity and a significant (6/10) impact on their daily activities attributable to their cancer. Only 8.5% of patients received paid assistance, while 76% had their spouse, relative or friend as an unpaid caregiver. In the preceding 3 weeks, caregivers who assisted patients provided a median 24h of care; 25% of caregivers missed a median 12h of work. Overall, mobility, self-care and anxiety/depression were rated as mildly affected (1/3), while daily activities and pain/discomfort were rated as moderately affected (2/3). Median overall health state rated by the respondents was 60 {scale 0(worst)-100(best)}. Quality of life overall was poor - FACT-L median score was 93.2 (range 50 to 125). Conclusion: Lung cancer negatively impacts work productivity and significantly impairs activity. While many lung cancer patients are retired, there is a significant burden on caregivers, which may result in a substantial burden to society in lost productivity. No significant financial relationships to disclose.

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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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.259
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.052
GPT teacher head0.445
Teacher spread0.394 · 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