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Revising the troublesome stoma: combined abdominal wall recontouring and revision of stomas.

2003· article· en· W2076168054 on OpenAlexaff
Jon Evans, Mitchell H. Brown, Gordon H. Wilkes, Zoë Cohen, Robin S. McLeod

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldMedicine
TopicStoma care and complications
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicineAbdominoplastySurgerySeromaIleostomyAbdominal wallStoma (medicine)ColostomyPlastic surgeryComplication

Abstract

fetched live from OpenAlex

PURPOSE: Despite preoperative siting and maturation of stomas, some patients may have poor stoma function because of redundant pannus, scars, creases, and parastomal or incisional hernias. In these patients, a combined abdominoplasty and stoma revision may be helpful. The object of this manuscript is to report our preliminary results. METHODS: Eight patients (mean age, 48 years; female/male ratio, 7/1) undergoing this procedure are reported. Five patients had inflammatory bowel disease, two had malignancies, and one had multiple sclerosis with bladder and bowel involvement. Patients were contacted at two months to two years follow-up to assess functional outcome and satisfaction with the procedure. RESULTS: Indications for surgery were difficulty maintaining an appliance (n = 7), frequent stool leakage (n = 6), and skin irritation (n = 4). Multiple surgeries (n = 4), skin creases (n = 3), scarring (n = 2), large weight loss (n = 4), and hernias (n = 5) were contributing factors. At surgery five patients had hernias repaired (3 parastomal, 2 incisional), three had stomas resited, and three underwent resections for Crohn's disease. One patient developed a seroma postoperatively. At follow-up six patients were able to maintain an appliance for at least four days, whereas one changed the appliance every three days because of personal preference. None experience stool leakage. All reported a dramatic improvement in body image. CONCLUSION: Combined stoma revision and abdominoplasty can be performed safely and leads to improved functional results and outcome.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.969
Threshold uncertainty score0.254

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 head0.032
GPT teacher head0.246
Teacher spread0.214 · 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 designOther design
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
Published2003
Admission routes1
Has abstractyes

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