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Record W2757374987 · doi:10.20986/resed.2017.3582/2017

Control de los síntomas en pacientes terminales: efectividad del tratamiento de la disnea irruptiva con opioides

2017· article· es· W2757374987 on OpenAlexaboutno aff
R. Verdú-Masiá, B. de Diego-Aliques, A.J. López Jiménez, A. Sanz-Yagüe, Bibiana Concepción Soler-López

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2017
Typearticle
Languagees
FieldMedicine
TopicMedical research and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGynecologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

ABSTRACT Introduction and objective: Breakthrough dyspnea (BD) is frequently suffered by in terminally ill patients. The main objective of the study was to assess the degree of symptom control for patients admitted to our unit specially the effectiveness of BD therapy in terminally ill patients. Patients and methods: An observational study of a registry of patients was completed and performed at a Spanish hospice care unit. Terminally ill patients presenting with BD and having undergone opioid treatment were selected. BD's intensity was measured prior to and after treatment using the Borg scale. The intensity of other symptoms was evaluated using the Edmonton Symptom Assessment System (ESAS) scale. Results: One hundred patients were included in the analysis. Males comprised 65 % of the sample, being 55 % oncological patients. Sublingual fentanyl (71 %), intranasal fentanyl (18 %), oral fentanyl (1 %) and subcutaneous morphine (10 %) were administered. Treatment response was observed in 94 % of patients with improvements of two or more points on the Borg Scale for BD, with no differences between treatments. The safety profile was acceptable in all cases. Conclusions: Although opioids are recommended in the first line of treatment of ID, there is not enough scientific evidence to justify its use. It was observed in the study that fentanyl may be an effective and safe therapeutic option for the control of breakthrough dyspnea in terminally ill 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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.335
Teacher spread0.322 · 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.

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

Citations0
Published2017
Admission routes1
Has abstractyes

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