[Clinical analysis of 69 cases of Burkitt's lymphoma].
Bibliographic record
Abstract
BACKGROUND & OBJECTIVE: Burkitt's lymphoma is a kind of highly aggressive B-cell lymphoma. Its clinical characteristics are different between the endemic areas in Africa and the sporadic areas in America and Europe. There is no large-scale report concerning Burkitt's lymphoma in China yet. This study was to summarize the characteristics of Burkitt's lymphoma in China. METHODS: Clinical data of 69 Burkitt's lymphoma patients, treated from May 1985 to May 2007 in Cancer Center of Sun Yat-sen University, were analyzed. RESULTS: Of the 69 patients, 44 were men and 25 were women, with a median age of 7 (range, 2-72); 5 were at stage I, 9 at stage II, 21 at stage III, and 34 at stage IV, advanced stage (stages III and IV) accounted for 55 (79.7%) patients. Abdomen (63.8%), cervical lymph nodes (68.1%) and faciomaxillary-oropharynx (34.8%) were the most common involved sites. Bone marrow (21.9%) and central nervous system (17.4%) could also be involved. B symptoms were found in 34 patients. Serum lactate dehydrogenase (LDH) level was elevated in 42 of 58 patients, while serum uric acid level was elevated in 13 of 56 patients. Hepatitis B virus (HBV) infection was found in 6 of 57 patients, Epstain-Barr virus (EBV) infection in 7 of 13 patients, human immunodeficiency virus (HIV) infection in 0 of 51 patients. Short-term and high intensive chemotherapy with central nervous system prophylaxis could improve the prognosis. CONCLUSION: The clinical characteristics of these 69 Burkitt's lymphoma patients are much similar to those from sporadic areas, but the median age is lower, and the most common involved sites are cervical lymph nodes, abdomen and faciomaxillary-oropharynx.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".