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Record W2232181571 · doi:10.14740/wjon952e

Radiation and Bilateral Spontaneous Pneumothoraces

2015· article· en· W2232181571 on OpenAlexvenueno aff
Waqas Jehangir, Mohamed Osman, Yazan Vwich, Rafay Khan, Shilpi Singh, Abdalla Yousif

Bibliographic record

VenueWorld Journal of Oncology · 2015
Typearticle
Languageen
FieldMedicine
TopicPleural and Pulmonary Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSurgery

Abstract

fetched live from OpenAlex

Spontaneous pneumothorax can be a rare complication of thoracic radiation therapy with severe consequences. Most of the cases in the medical literature have been described in lymphoma patients receiving radiation therapy. Spontaneous pneumothoraces are divided into two types which consist of primary and secondary. Primary occurs in absence of any known lung condition, while secondary has an underlying lung disease. The etiology of primary spontaneous pneumothorax has not yet been determined but risk factors such as smoking, family history, and male gender have been described unlike that of secondary which is associated with chronic obstructive pulmonary disease (COPD) and other lung conditions. In this report, we discuss the association with radiation therapy and pneumothorax. The pathogenesis of this complication has not fully been elucidated although different mechanisms have been proposed. In this case report, we discuss the findings and management of a female patient treated for angiosarcoma from the scalp with metastasis to the lung that was complicated by pneumothorax.

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)0.000
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.033
GPT teacher head0.322
Teacher spread0.289 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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