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Record W1515340593 · doi:10.1111/ecc.12144

Comparison of the symptoms reported by post-operative patients with cancer and nurses’ perception of patient symptoms

2013· article· en· W1515340593 on OpenAlexaboutno aff
Canan Kaş, Semiha Akın, Zehra Durna

Bibliographic record

VenueEuropean Journal of Cancer Care · 2013
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIntensive care unitPalliative careMechanical ventilationTurkishCancerPhysical therapyIntensive care medicineNursingInternal medicine

Abstract

fetched live from OpenAlex

The purpose of this study was to compare the symptoms reported by patients with cancer after palliative surgery and mechanical ventilation in an intensive care unit (ICU) with their primary nurses' perception of the symptoms. The study adopted a descriptive and correlational study design. The sample comprised 60 Turkish patients with cancer who had been mechanically ventilated for 1-12 h at the ICU following palliative surgery. In addition to the patients' reports, the nurses (= 8) independently rated their own perceptions of the patients' symptoms. Data were collected using the Edmonton Symptom Assessment Scale (ESAS). The mean age of the sample was 62.28 years (SD = 15.02; range: 27-86). The mean score of the patients on the ESAS was 55.17 (SD = 26.16) and that of the nurses was 55.48 (SD = 27.13). The study found no statistically significant differences between scores of patients' reports and nurses' assessments of symptoms, except for the category of pain. Patients reported more pain than the nurses' perceived (Z = -2.311, P = 0.021). Systematic and frequent symptom assessments of patients in ICUs after palliative surgical operations should be an integral part of nursing care.

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)0.000
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 score0.099
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.007
GPT teacher head0.279
Teacher spread0.271 · 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

Citations9
Published2013
Admission routes1
Has abstractyes

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