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Record W2893005048 · doi:10.1111/crj.12958

Recent developments in pleurodesis for malignant pleural disease

2018· review· en· W2893005048 on OpenAlexaff
Julien Guinde, Samer Georges, Valérian Bourinet, Sophie Laroumagne, Hervé Dutau, Philippe Astoul

Bibliographic record

VenueThe Clinical Respiratory Journal · 2018
Typereview
Languageen
FieldMedicine
TopicPleural and Pulmonary Diseases
Canadian institutionsHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsMedicinePleurodesisMalignant pleural effusionThoracentesisThoracoscopyIntensive care medicineQuality of life (healthcare)Pleural effusionSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: Metastatic pleural effusion (MPE) is one of the most frequent causes of pleural effusion. The aims of the therapeutic management are palliation of symptoms and improvement in patient's quality of life. The first step is a therapeutic thoracentesis. In case of a recurrent MPE, pleural maneuvers can be used to manage symptoms based on either ambulatory pleural drainage or pleurodesis to prevent fluid accumulation. The aim of this review is to describe recent advances, according to the best available evidence, in the field of pleurodesis for the management of MPE. DATA SOURCE AND STUDY SELECTION: Three different searches of the most clinically relevant articles and up-to-date results in the field of pleurodesis for the management of MPE were performed using PubMed. Different indexing terms and time restriction were chosen. From these PubMed searches, 322 articles were respectively found. After cross-checking these three lists and the selection of articles published after January 2010 specially dedicated to the management of MPE by pleurodesis, the abstracts of 106 articles were extracted to feed the corpus of this review. RESULTS AND CONCLUSION: Treatment approaches of recurrent MPE should take into account multiple factors in particular patient's life expectancy and preference. If talc is the best sclerosing agent alone or in combination with indwelling pleural catheter which is a promising strategy, the pathophysiology of MPE has to be revisited in order to propose a personalized management targeting intrapleural key molecules involved in the genesis of malignant process.

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)0.004
metaresearch head score (Gemma)0.006
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 score0.971
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.371
GPT teacher head0.485
Teacher spread0.114 · 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

Citations13
Published2018
Admission routes1
Has abstractyes

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