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Record W4230961775 · doi:10.5858/arpa.2011-0476-edi

Introduction to Continuing Special Series

2012· article· en· W4230961775 on OpenAlexaboutno aff
Helmut Popper

Bibliographic record

VenueArchives of Pathology & Laboratory Medicine · 2012
Typearticle
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMesotheliomaAsbestosPathologyMedicineSpecial sectionGeneral surgery

Abstract

fetched live from OpenAlex

The following articles represent the next special section in a continuing series of special sections or special issues entitled “Insights and Controversies in Pathology.” Each special section consists of a group of articles providing the most current knowledge, recent advances, and areas of controversy for a subspeciality field in pathology.This special section focuses on serosal pathology. Françoise Galateau-Salle, MD, PhD, and Allen Gibbs, MBChB, FRCPath, served as guest editors and invited authors to submit their work focusing on different aspects of serosal pathology.Sisko Anttila, MD, PhD, focuses on “Epithelioid Lesions of the Serosa.” In her article, she reviews the epithelial/epithelioid lesions of the pleura, and discusses the differential diagnosis of epithelioid mesothelioma versus metastasis, including immunohistochemical markers. She also focuses on the more problematic area of malignant versus benign proliferations of the mesothelial cells. Finally, she discusses some of the rare epithelioid lesions of the pleura and peritoneum.Pier-Giacomo Betta, MD, and colleagues provide a comprehensive overview on “Immunohistochemistry and Molecular Diagnostics of Pleural Malignant Mesothelioma.” This article not only assists in selecting which protein markers to use in difficult mesothelioma cases in daily practice, but also provides some insight into genetics and proteomics of these malignant tumors.Despite the ban on asbestos in many countries, in others, such as India, asbestos exposure is still common in several places, especially in ship salvaging, such as in the port of Mumbai. And even in industrialized countries, the story seems to be never ending, as illustrated by the debate in Canada about reopening of asbestos mines.In the last decade an increase of mesothelioma cases appeared in our daily practice for which no asbestos exposure can be proven, creating new challenges in asbestos litigation. Bharat Jasani, PhD, MBChB, FRCPath, and Allen Gibbs, MBChB, FRCPath, provide us with new information about “Mesothelioma Not Associated With Asbestos Exposure.” This article assists in understanding what other mechanisms might underlie the development of these malignant tumors. In addition, this article highlights important information for the litigation setting.Although primary lymphoproliferative conditions of the pleura are uncommon, they usually give rise to many difficult diagnostic problems. The article by Richard Attanoos, MD, MBBS, FRCPath, sheds some light on these rarely seen entities and provides clues on how to properly diagnose them.Finally, Didier Jean, PhD, et al discuss “Molecular Changes in Mesothelioma With an Impact on Prognosis and Treatment.” Despite many investigations dealing with genetics, proteomics, and posttranslational modifications, we still have not identified targets for improved treatment of these malignancies, and only a few biomarkers have been introduced as prognostic factors. The authors have reviewed the current literature and provide an extensive overview of investigations in this field. Many of these studies are controversial. The major problem in most studies is that genetic alterations in mesotheliomas have not been investigated as driver versus bystander mutations/alterations. It is our hope that, in the near future, further investigations might identify driver genes, which subsequently might be targeted by new drugs. Recently, a gene (BAP1) has been identified in familial mesothelioma and in another investigation was also found in sporadic mesotheliomas. This might give rise to new hope in this deadly disease.

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)0.003
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.401
Threshold uncertainty score0.854

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0060.005
Open science0.0020.004
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.4010.291

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 head0.007
GPT teacher head0.252
Teacher spread0.246 · 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.

Study designNot applicable
Domainnot available
GenreEditorial

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
Published2012
Admission routes1
Has abstractyes

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