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Record W2005818231 · doi:10.5539/cco.v4n1p19

Quality of Life Among Cancer Patients Treated With Chemotherapy or Radiotherapy in Erbil City An Evaluation Study

2015· article· en· W2005818231 on OpenAlexvenueno aff
Awring M. Raoof, S. Yacoub, Yassin Asa`ad, Tariq S. Al-Hadithi

Bibliographic record

VenueCancer and Clinical Oncology · 2015
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRadiation therapyQuality of life (healthcare)MedicineChemotherapyCancerOncologyInternal medicinePhysical therapy

Abstract

fetched live from OpenAlex

Objectives: This study was conducted to assess the quality of life in its different domains among cancer patients in relation to their treatment modality. Methods: A convenience sample of 200 patients with cancer was selected, 100 patients were on chemotherapy and the other 100 were on radiotherapy. Data was obtained through direct interview, using FACT-G questionnaire, version 4, and was managed through a statistical program, using appropriate statistical tests. Results: The emotional domain was the least affected one in both study groups (P = 0.800), while the physical domain reflected a significant statistical differences (P < 0.001); it was mildly affected in 92% of those with radiotherapy and moderately affected in 47% of those on chemotherapy. The social and functional domains were the most badly affected with a significant difference in the functional domain only (P <0.001) where 93% of those on radiotherapy being badly affected. The functional well-being of breast cancer was more affected among those with radiotherapy (P = 0.039), while the physical domains of quality of life of patients with gastrointestinal tract cancer was more badly affected by chemotherapy (P = 0.001). Conclusion: Patients on chemotherapy are more badly affected in some domains of quality of life, compared to those on radiotherapy. The emotional domain of QoL was the least affected, while the social and functional domains were the most badly affected ones among cancer patients, whether they were treated with radiotherapy or chemotherapy.

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 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)0.003
metaresearch head score (Gemma)0.000
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 score0.161
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 integrity0.0000.000
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 head0.279
GPT teacher head0.576
Teacher spread0.297 · 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 teacher head, 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

Citations8
Published2015
Admission routes1
Has abstractyes

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