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Record W4408997560 · doi:10.1093/ejcts/ezae165

How safe is it to discharge home patients with a chest tube in place? A narrative review of the literature

2024· review· en· W4408997560 on OpenAlexaff
Fabrizio Minervini, Pietro Bertoglio, Alessandro Brunelli, Yaron Shargall

Bibliographic record

VenueEuropean Journal of Cardio-Thoracic Surgery · 2024
Typereview
Languageen
FieldMedicine
TopicPleural and Pulmonary Diseases
Canadian institutionsSt. Joseph’s Healthcare Hamilton
FundersMedela
KeywordsNarrativeNarrative reviewTube (container)Chest tubeMedicineHistoryArtLiteratureIntensive care medicineEngineeringSurgeryMechanical engineering

Abstract

fetched live from OpenAlex

OBJECTIVES: In a time of particular focus on healthcare costs and quality metrics, combined with widespread embracing of the Early Recovery After Surgery approach, an outpatient setting for the management of prolonged air leak or excessive fluid drainage appears to be an acceptable option. The aim of this review is to evaluate the safety, efficacy and financial benefit of discharging home patients with chest tube after lung surgery or following chest drain insertion due to a pneumothorax. METHODS: We reviewed the current literature analysing all available full-text papers published in English (PubMed, Cochrane and EMBASE databases). Data were reported as descriptive narrative. RESULTS: Our findings show that discharging home patients with chest tube in situ has not only a positive impact on length of stay but it also seems to be cost-effective. In our literature review, contrasting results have emerged regarding readmission rates and development of complications, especially empyema. CONCLUSIONS: Thus, outpatients management of patients discharged with a chest drain is feasible and cost-effective. A standardization of follow-up with dedicated ambulatory setting might improve patients' safety and increase this practice amongst thoracic surgery institutions.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.563
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.002
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 head0.036
GPT teacher head0.309
Teacher spread0.273 · 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 designNot applicable
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

Citations3
Published2024
Admission routes1
Has abstractyes

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