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Record W4391880733 · doi:10.15406/jlprr.2024.11.00309

Impact of a dedicated malignant pleural effusion clinic on the management of malignant pleural effusion

2024· article· en· W4391880733 on OpenAlexaff
Rasha El-Safty, Saswata Deb, Sameena Uddin, Donald Jones, A R Mohamed, Abdollah Behzadi

Bibliographic record

VenueJournal of Lung Pulmonary & Respiratory Research · 2024
Typearticle
Languageen
FieldMedicine
TopicPleural and Pulmonary Diseases
Canadian institutionsTrillium Health CentreUniversity of Toronto
Fundersnot available
KeywordsMalignant pleural effusionMedicinePleural effusionRadiology

Abstract

fetched live from OpenAlex

Background: Malignant pleural effusions (MPE) are common complications of advanced malignancy. The treatment of MPE is generally focused on palliation of respiratory symptoms. The main drawback of the traditional method of pleurodesis is the requirement for hospitalization. Objectives: To examine the safety, efficacy and economy of management of a dedicated MPE clinic. Methods and analysis: A retrospective cohort study was designed to compare complication rates, pleural effusion control, length of hospital stay, type of interventions, estimated hospital days saved between two three-year non-contemporary periods – before the implementation of MPE clinic and after. Results: Pre MPE clinic and MPE clinic group comprised of 115 and 161 patients respectively. The number of hospital admissions was lower in the MPE clinic period (42.4% vs 73.9%; p<0.0001) and the pleural effusion control was higher in the same group (65.2% versus 51.3%; p=0.02). The estimated hospital days saved was 1001 days over 3 years. Conclusion: A dedicated malignant pleural effusion (MPE) clinic is a strategy of malignant effusion management that reduces hospital admission days and, will allow patients to spend more time outside hospital, reduce costs and save healthcare resources. Outpatient MPE clinic is of particular importance in the setting of the health care system and the overcrowded hospitals. The ability to avoid a one week hospitalization for a palliative intervention and replace it with a simple and effective outpatient procedure should appeal to patients and administrators alike.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.108
GPT teacher head0.428
Teacher spread0.320 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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