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Patient Outcomes Related to Percutaneous Endoscopic Gastrostomy Placement

2001· article· en· W2079878747 on OpenAlexaffabout
Marja J. Verhoef, Guido M A Van Rosendaal

Bibliographic record

VenueJournal of Clinical Gastroenterology · 2001
Typearticle
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicinePercutaneous endoscopic gastrostomyPEG ratioQuality of life (healthcare)GastrostomyFeelingFamily medicinePediatricsEmergency medicineSurgeryNursing

Abstract

fetched live from OpenAlex

Although many aspects of percutaneous endoscopic gastrostomy (PEG) have been addressed in the literature, attention to psychologic and social outcomes of PEG has been limited. Our goal was to assess a range of physical, psychologic, and social outcomes related to PEG feeding. This study is a follow-up survey of patients undergoing PEG and/or their surrogates. Data were collected by semistructured interviews in two tertiary hospitals in Alberta, Canada. Measurements consisted of PEG status at 1-year follow-up, quality of life, impact on caregivers, and opinions about long-term support via PEG. We included 71 patients in the study. Of all 39% of patients died, 32% had the PEG still in place, and for 28% the PEG was removed at the end of the 1-year follow-up. The prognosis of the attending physician at the initial visit and the underlying disease were significantly related to the outcome (p < 0.05). After 1 year, 85% of all patients whose PEGs were still in place, were not working or studying or managing their own household in any capacity, 67% were not managing personal care, and 19% were feeling very ill. Fifty-two percent of the caregivers spent 15 hours or more per week visiting and caring for the patient. At the 1-year follow-up, all ten surviving patients who could be interviewed agreed they would have a PEG again. Seventy percent of the caregivers said that they would want the same decision to be made. Although a majority of patients and caregivers did not regret the decision to place a PEG, this did not necessarily mean enhanced quality of life. Developing strategies to select patients who will benefit from long-term nutritional support could improve patient outcomes.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.149
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.367
Teacher spread0.336 · 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

Citations78
Published2001
Admission routes2
Has abstractyes

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