MétaCan
Menu
Back to cohort

Caregiver attitudes towards gastrostomy removal after renal transplantation

2005· article· en· W2168412575 on OpenAlexaff
Hubert Wong, Kyle Mylrea, Angela Cameron, Ian Manion, Juan Bass, Guido Filler

Bibliographic record

VenuePediatric Transplantation · 2005
Typearticle
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineGastrostomyGastrostomy tubeTransplantationRenal transplantSurgeryPediatrics

Abstract

fetched live from OpenAlex

Gastrostomy tube (G-tube) removal has been suggested at 3 months following successful renal transplantation (Tx). We noticed a delay in the removal of G-tubes in our pediatric patients following Tx and therefore conducted a cross-sectional single center survey on all renal transplant recipients to assess the causes of delayed G-tube removal. In total, 17 of 23 patients completed the survey, including all patients with G-tubes (n = 10) and seven patients without G-tubes. Median age at Tx of gastrostomy patients was significantly lower than that of patients without a G-tube (median 3.0 yr, range 1.2-4.7 yr vs. median 14 yr, range 6-17 yr, p < 0.0001) and significantly younger than in previous studies on gastrostomies. At the time of the survey, only three of 10 patients had their G-tube removed at 22, 41 and 61 months after Tx at the ages of 3, 5.5 and 9 yr, respectively. The median age at recent follow up of the remaining seven patients was 4.7 yr (range 2.6-8.75 yr). The most important reason for continued use was fluid intake and medication. Results of our survey showed appropriate concern regarding the risk of prolonged use of the gastrostomy. Caregivers felt that benefits of the gastrostomy in the post-transplant period outweighed the risks. Caregivers felt pressured towards removal by the physicians. Our findings support the decision to remove gastrostomies based on individual patient needs and total fluid intake rather than a fixed time following successful Tx.

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 score0.101
Threshold uncertainty score0.871

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 head0.013
GPT teacher head0.280
Teacher spread0.267 · 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

Citations15
Published2005
Admission routes1
Has abstractyes

Explore more

Same venuePediatric TransplantationSame topicClinical Nutrition and GastroenterologyFrench-language works237,207