MétaCan
Menu
Back to cohort
Record W202293791

Split-thickness skin-grafting the post-Clagett pleurostomy cavity.

2004· article· en· W202293791 on OpenAlexaff
Raman C. Mahabir, Susan Kim, Bill Nelems

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldMedicine
TopicPleural and Pulmonary Diseases
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineEmpyemaPneumonectomySurgerySkin graftingBronchopleural fistulaThoracic cavityComplicationLungGraftingPleural cavityInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Among the surgical complications of pulmonary resections and pneumonectomies, bronchopleural fistulae (BPF) persists as the gravest complication for the thoracic surgeon. BPF can prolong hospital stay and increase mortality to a rate of 50%.1 Its management is challenging and controversial. We report our recent experience with empyema and late BPF in a patient after pneumonectomy for a lung abscess. We undertook a novel management technique of Clagett pleurostomy followed by split-thickness skin-grafting of the residual pleural space. Applying split-thickness skin grafts to the granulating tissue bed accelerated epithelial migration. The technique was simple and required a short-term anesthetic. One year later, the result remains satisfactory.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.019
GPT teacher head0.230
Teacher spread0.211 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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
Published2004
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicPleural and Pulmonary DiseasesFrench-language works237,207