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Record W2100762242 · doi:10.5858/arpa.2013-0566-cp

Template for Reporting Results of Biomarker Testing of Specimens From Patients With Carcinoma of the Breast

2013· article· en· W2100762242 on OpenAlexaff
Patrick L. Fitzgibbons, Deborah Dillon, Randa Alsabeh, Michael A. Berman, Daniel F. Hayes, David G. Hicks, Kevin S. Hughes, Sharon Nofech‐Mozes

Bibliographic record

VenueArchives of Pathology & Laboratory Medicine · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBiomarkerMedicineBreast carcinomaBreast cancerCarcinomaPathologyOncologyInternal medicineCancerBiology

Abstract

fetched live from OpenAlex

he College of American Pathologists offers thesetemplates to assist pathologists in providing clinicallyuseful and relevant information when reporting results ofbiomarker testing. The College regards the reportingelements in the templates as important elements of thebiomarker test report, but the manner in which theseelements are reported is at the discretion of each specificpathologist, taking into account clinician preferences,institutional policies, and individual practice.The College developed these templates as educationaltools to assist pathologists in the useful reporting of relevantinformation. It did not issue them for use in litigation,reimbursement, or other contexts. Nevertheless, the Collegerecognizes that the templates might be used by hospitals,attorneys, payers, and others. The College cautions that useof the templates other than for their intended educationalpurpose may involve additional considerations that arebeyond the scope of this document.TEMPLATE FOR REPORTING RESULTS OF BIOMARKERTESTING OF SPECIMENS FROM PATIENTSWITH CARCINOMA OF THE BREASTCompletion of the template is the responsibility of thelaboratory performing the biomarker testingand/or providingthe interpretation. When both testing and interpretation areperformed elsewhere (eg, a reference laboratory), synopticreporting of the results by the laboratory submitting thetissue for testing is also encouraged to ensure that allinformation is included in the patient’s medical record andthus readily available to the treating clinical team.BIOMARKER REPORTING TEMPLATEBreastNote: Required elements in this template comply with the mostrecent versions of the American Society of Clinical Oncology/College of American Pathologists (ASCO/CAP) guidelines onHER2 and hormone receptor testing. Reporting elements arerequired only if applicable and only for tests performed. If somestudies were performed on different specimen(s), the specimennumber(s) should be provided.þ Data elements preceded by this symbol are not required.RESULTSEstrogen Receptor (ER)___ Positive (percentage of cells with nuclear positivity:___ %)þ Average intensity of staining:þ ___ Weakþ ___ Moderateþ ___ Strong___ Negative___ Internal controls present and ER positive (asexpected)___ Internal controls present but ER negative___ Internal controls absent___ Cannot be determined (explain): _________________Progesterone Receptor (PgR)___ Positive (percentage of cells with nuclear positivity:____ %)þ Average intensity of staining:þ ___ Weakþ ___ Moderateþ ___ Strong___ Negative___ Internal controls present and PgR positive (asexpected)___ Internal controls present but PgR negative

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)0.025
metaresearch head score (Gemma)0.089
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.089
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0590.048

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 head0.016
GPT teacher head0.245
Teacher spread0.229 · 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
DomainReporting
GenreMethods

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

Citations187
Published2013
Admission routes1
Has abstractyes

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