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Record W26660926 · doi:10.1155/2005/498709

Chest Tube Drainage Under Radiological Guidance for Pleural Effusion and Pneumothorax in a Tertiary Care University Teaching Hospital: Review of 51 Cases

2005· review· en· W26660926 on OpenAlexaff
Luce Cantin, Carl Chartrand‐Lefebvre, Luigi Lepanto, David Gianfelice, A Rabbat, B Aubin, Pierre Perreault, R Déry, M Lafortune

Bibliographic record

VenueCanadian Respiratory Journal · 2005
Typereview
Languageen
FieldMedicine
TopicPleural and Pulmonary Diseases
Canadian institutionsUniversité de MontréalHôpital Saint-Luc
Fundersnot available
KeywordsMedicinePneumothoraxRadiological weaponEmpyemaPleural effusionChest tubePercutaneousSurgeryEffusionDrainageRadiologyPleural diseaseRespiratory diseaseLungInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Chest tube drainage under radiological guidance has been used with increasing frequency as a treatment option for pleural effusions and pneumothoraxes. OBJECTIVE: To evaluate the safety and usefulness of pleural drainage under radiological guidance for pleural effusion and pneumothorax in a tertiary care university teaching hospital. METHODS: A retrospective study of cases of chest tube placement under radiological guidance over a 12-month period in a university hospital. RESULTS: Fifty-one percutaneous pigtail catheter drainage cases were reviewed (30 patients). Forty-six (90%) chest tubes were inserted as a first-line treatment. The overall success rate of radiological drainage was 88%. Specific success rates were 92%, 85% and 91% for loculated pleural effusion, pneumothorax and empyema, respectively. The complications were few and minor. CONCLUSIONS: Pigtail catheter insertion under radiological guidance is a useful procedure for the treatment of sterile pleural effusion, empyema and pneumothorax. This technique can be used as a first-line procedure in the majority of cases.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.043
GPT teacher head0.317
Teacher spread0.274 · 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 designObservational
Domainnot available
GenreReview

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

Citations30
Published2005
Admission routes1
Has abstractyes

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