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Record W3160369639 · doi:10.14740/wjon1368

An Update on Survivorship Issues in Lung Cancer Patients

2021· review· en· W3160369639 on OpenAlex
Pramuditha Rajapakse

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWorld Journal of Oncology · 2021
Typereview
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSurvivorship curveLung cancerQuality of life (healthcare)Radiation therapyPsychological interventionDistressIntensive care medicinePopulationSocioeconomic statusSexual dysfunctionCancerComorbidityOncologyInternal medicinePsychiatryNursingClinical psychologyEnvironmental health

Abstract

fetched live from OpenAlex

Recent advances in lung cancer therapeutics and screening have led to increased numbers of lung cancer survivors. Most survivors have undergone invasive treatment (surgery, radiation therapy, chemotherapy and/or immunotherapy) and carry a high comorbidity burden. Overall quality of life suffers during the evaluation, treatment and follow-up phase, with the potential for long-term decline. The issues faced by survivors include physical symptoms, emotional distress as well as socioeconomic instability. These issues may lead to poor compliance with recommended follow-up plan. This article provides an up-to-date literature review on the major issues faced by lung cancer survivors and identifies under-recognized problems such as stigma, financial toxicity and sexual dysfunction. Future collaborative efforts are needed to further elucidate the complex issues that affect overall well-being of lung cancer survivors and to develop appropriate interventions in this expanding survivor population.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.979
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.046
GPT teacher head0.428
Teacher spread0.383 · 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