Lymphoma and Multiple Myeloma
Bibliographic record
Abstract
Lymphoma' modern understanding Lymphoma is any of a group of blood cell tumors that develop from lymphatic cells with the enlarged lymph nodes and signs and symptoms that may include enlarged lymph nodes, fever, night drenching sweats, unintended weight loss, itching, and feeling tired The two main categories of lymphomas are Hodgkin (HL) and the non-Hodgkin (NHL) lymphomas The World Health Organization (WHO) includes two other categories as types of lymphoma: multiple myeloma and immunoproliferative diseases https://en.wikipedia.org/wiki/LymphomaHODGKIN LYMPHOMA Definition Hodgkin (Hodgkin's) lymphoma or Hodgkin's disease, is a type of the most curable forms of lymphoma, in which cancer originates from the lymphocytes Hodgkin Lymphoma is named for Dr. Thomas Hodgkin, who first noted a trend of cancer cases in the lymph nodes in 1832 The disease was called Hodgkin's disease until it was officially renamed Hodgkin lymphoma in the late 20 th century https://www.lls.org/lymphomahttps://en.wikipedia.org/wiki/Hodgkin%27s_lymphomaEpidemiology Incidence of Hodgkin Lymphoma in the United States, by age http://www.cancernetwork.com/articles/hodgkin-lymphoma-older-patients-uncommon-disease-need-studyRisk factors and etiology 1 Epstein-Barr virus infection/mononucleosis (sometimes called mono for short) Age (HL is most common in early adulthood (ages 15 to 40, especially in a person's 20s) and in late adulthood (after age 55)) Gender (HD occurs slightly more often in males than in females) Geography (HD is most common in the United States, Canada, and northern Europe, and is least common in Asian countries) http://www.cancer.org/cancer/hodgkindisease/detailedguide/hodgkin-disease-risk-factorsRisk factors and etiology 2 Family history (brothers and sisters of young people with HD have a higher risk for Hodgkin disease) Socioeconomic status (the risk is greater in people with a higher socioeconomic background) HIV infection (the risk is increased in people infected with HIV) In most cases, the etiology of HL is unknown http://www.cancer.org/cancer/hodgkindisease/detailedguide/hodgkin-disease-risk-factorsThe derivation of Hodgkin and Reed-Sternberg cells in classic HL and lymphomatic and histiocytic cells in noduler lymphocyte-predominant HL http://www.medscape.com/viewarticle/559870_4Classification Four pathologic subtypes of HL based upon Reed-Sternberg cell morphology and the composition of the reactive cell infiltrate seen in the lymph node biopsy Nodular sclerosing Mixed-cellularity subtype Lymphocyte-rich Lymphocyte depleted Unspecified https://en.wikipedia.org/wiki/Hodgkin%27s_lymphoma#ClassificationDiagnosis 11 Genetic testing Some myeloma centers now employ genetic testing, which they call a "gene array" By examining DNA, oncologists can determine if patients are high risk or low risk of the cancer returning quickly following treatment https://en.wikipedia.org/wiki/Multiple_myeloma#Treatment
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".