MétaCan
Menu
Back to cohort
Record W2326667431 · doi:10.21037/atm.2016.03.17

Perspective on malignant pleural mesothelioma diagnosis and treatment

2016· article· en· W2326667431 on OpenAlexfundno aff
Ori Wald, David J. Sugarbaker

Bibliographic record

VenueAnnals of Translational Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsMedicineChemotherapyMalignancyStage (stratigraphy)MesotheliomaDiseaseOncologyInternal medicinePleural diseaseSurgeryRespiratory diseaseLungPathology

Abstract

fetched live from OpenAlex

Malignant pleural mesothelioma (MPM) is an aggressive solid malignancy with dismal prognosis. The majority of newly diagnosed MPM patients present with advanced (IMIG/UICC stage IV) disease and are therefore treated with chemotherapy and supportive measures. The median survival of this group of patients ranges from 12 months with chemotherapy to 7 months with supportive care (1,2). Nonetheless, for a selected group of patients that present with a locally advanced disease (IMIG/UICC stage I–III), a personally tailored multimodality therapeutic (MMT) protocol comprising of cyto-reductive surgery and chemotherapy with or without radio-therapy may be the best therapeutic option. Although MMT is also associated with high rates of morbidity and mortality, it remains the sole option to significantly extend the survival of patients that physically and clinically qualify for this aggressive treatment strategy (3-8) .

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)0.000
metaresearch head score (Gemma)0.000
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 score0.164
Threshold uncertainty score0.766

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.085
GPT teacher head0.360
Teacher spread0.275 · 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

Citations9
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of Translational MedicineSame topicOccupational and environmental lung diseasesFrench-language works237,207