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Record W2323740365 · doi:10.4103/0973-1075.179601

A prospective evaluation of symptom prevalence and overall symptom burden among cohort of critically ill cancer patients

2016· article· en· W2323740365 on OpenAlexaboutno aff
Mayank Gupta, Malvinder Singh Sahi, A Bhargava, Vineet Talwar

Bibliographic record

VenueIndian Journal of Palliative Care · 2016
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDistressProspective cohort studyCancerNauseaObservational studyIntensive care unitLung cancerPopulationCohortCohort studyInternal medicineEmergency medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Gross physiological perturbations necessitating the Intensive Care Unit (ICU) admission might exacerbate the already existing or initiate bothersome symptoms among cancer patients. There is a lack of conclusive evidence concerning the symptomatic experience among this subgroup of cancer patients particularly so in the Indian population. The aim of this prospective observational study was to elucidate the symptom prevalence and overall symptomatic distress among critically ill cancer patients at the time of admission to a medical ICU. METHODS: We prospectively evaluated 110 consecutive cancer patients at the time of admission to our medical ICU for the presence and intensity of symptoms using a modified Edmonton Symptom Assessment Scale (ESAS). The patients/caregivers were also enquired regarding the most bothersome symptom in the past 1 week and the presence of "symptom associated sleep disturbance." The primary outcome was the prevalence of patients with moderate (ESAS ≥ 40) and severe (ESAS ≥ 70) symptomatic distress. RESULTS: The average age was 52.49 years with 75.45% of the respondents in the economically productive age group (21-60 years). Carcinoma breast (19.35%) and lung (14.58%) were the most common cancers among females and males, respectively. 87.27% and 60% of the patients had advanced cancer and multi-organ dysfunction, respectively. About 76.36% patients were able to complete ESAS either by themselves or with caregiver's assistance within first 24 h of ICU admission. The mean ESAS distress score was 48.04 (0-81) with 72.72% of the patients having moderate-severe symptomatic distress. Loss of appetite (92.73%) and nausea (54.55%) were the most common and the least common reported symptoms, respectively. Pain was the most common and "most distressing symptom" reported by 40% of patients with 64.55% patients reporting one or more symptoms severe enough to interfere with their sleep. CONCLUSION: ESAS is a user-friendly cognitive aid to make the healthcare team cognizant of the symptom existence and overall symptomatic burden among cancer patients with gross physiological perturbations. The high prevalence of moderate-severe symptom distress requires the concomitant provision of palliative and intensive care among this group of cancer patients.

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)0.001
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 score0.016
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.015
GPT teacher head0.312
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

Citations21
Published2016
Admission routes1
Has abstractyes

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