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Record W2895490212 · doi:10.1016/j.rmcr.2018.10.003

Pleural cerebrospinal fluid shunting causing trapped lung: A respiratory physician's approach to management and prevention

2018· article· en· W2895490212 on OpenAlexaff
Alexander Dalphy, Andrew Burkett

Bibliographic record

VenueRespiratory Medicine Case Reports · 2018
Typearticle
Languageen
FieldMedicine
TopicPleural and Pulmonary Diseases
Canadian institutionsGrand River Hospital
Fundersnot available
KeywordsMedicineDecorticationThoracentesisLungShunt (medical)ShuntingPleural effusionPleurodesisSurgeryPleural fluidCerebrospinal fluidRespiratory systemInternal medicine

Abstract

fetched live from OpenAlex

Cerebrospinal fluid (CSF) shunting into the pleural space can cause complications such as long-standing pleural effusions and trapped lung. These complications can be difficult to manage due to the propensity of effusions to recur, and the irreversible nature of trapped lung. This report describes the case of a woman with a pleural CSF shunt who developed chronic pleural effusions and trapped lung over two years, following a 24-year period without any respiratory shunt complications. Management options for this patient included thoracentesis, lung decortication, insertion of an indwelling pleural catheter, and shunt revision. Advocating for pleural shunt revision when symptomatic or increasingly large pleural effusions occur may prevent the development of trapped lung.

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)0.004
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: none
Teacher disagreement score0.006
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.000
Science and technology studies0.0020.001
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0020.001

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 head0.051
GPT teacher head0.323
Teacher spread0.272 · 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

Citations6
Published2018
Admission routes1
Has abstractyes

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