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Record W2790439480 · doi:10.5539/jas.v10n4p245

Repair of Defect in Thoracic Wall Associated with Neoplasms—Literature Review

2018· article· en· W2790439480 on OpenAlexvenueno aff
Josiane Morais Pazzini, Rafael Ricardo Huppes, Jorge Luiz Costa Castro, Pedro Carvalho Cassino, Stella Moreira, Jorge Luis Álvarez Gómez, Cláudia Sampaio Fonseca Repetti, Thayana Neiva de Lima Queiroz, Andrígo Barboza De Nardi

Bibliographic record

VenueJournal of Agricultural Science · 2018
Typearticle
Languageen
FieldMedicine
TopicPleural and Pulmonary Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThoracic wallThoracic NeoplasmMetastasisSurgeryCancerRadiologyInternal medicine

Abstract

fetched live from OpenAlex

The major malignant tumors found on the chest wall are sarcomas, including osteosarcomas, chondrosarcomas, fibrosarcomas, and hemangiosarcomas. Treatment of cancer, as well as chronic chest wall conditions, require radical surgical excision of the involved tissues. In addition to surgery, chemotherapy plays a role as adjuvant treatment in tumors affecting the chest wall, reducing chances of metastasis and prolonging the disease. The restoration of the chest wall has the main objective to restore the respiratory function, for this, a procedure is necessary that keeps the chest closed and stable. There are many materials used for chest repair, such as autogenous, synthetic, homologous and heterologous tissues. The main objective of this literature review is to address the main malignancies that affect the chest wall, as well as the resources most used to repair the damage caused by aggressive surgery in an attempt to promote greater safety margins.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score0.157

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.281
Teacher spread0.268 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2018
Admission routes1
Has abstractyes

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