Retrospective Observational Study on Multiple Myeloma Cases Admitted to Kfsh – Dammam Between 1st of June 2006 till the End of December 2013
Bibliographic record
Abstract
Abstract Introduction: Multiple myeloma (MM) is characterized by the neoplastic proliferation of a single clone of plasma cells producing a monoclonal immunoglobulin. It accounts for approximately 1 percent of all cancers and slightly more than 10 percent of hematologic malignancies in the United States. There is a scarcity on the information of myeloma in the kingdom of Saudi Arabia.Hence was this observational study from a single center in Dammam, Saudi Arabia. . Method: Retrospective chart review of consecutive patients Diagnosed with Multiple myeloma in the period between 1st of May 2006 until end of December 2013 at King Fahd Specialist Hospital in Dammam (KFSHD). Purpose: to describe the presenting characteristics of MM patients in our region, treatment patterns prescribed with the outcome of therapy that include progression free survival and overall survival. Result: 63 patients with multiple myeloma were diagnosed and treated during this period. The percentage of patients with ECOG (≥2) is 52.3 % . 60 % of the patients had stage III international staging system (ISS). Only 17.4% received Triple agents as primary therapy as most of our patients received duplet therapy. 46% received High Dose therapy and Autologous stem cell transplantation. the PFS was 41.1 % and the OS of 69.1% at 95 months. Conclusion: Our results showed that we had rather younger patient population with a median age of 60 compared to the average western myeloma patient population. Despite the relatively young age those patients unfortunately had relatively poor performance status and high ISS stage which correlate with worse clinical outcome. However, the response to therapy and the outcome of our patients were superior to the outcome of any cohort of patients with similar disease characteristic. This observation worth further studying which could be due to an unknown disease or treatment related factors that might affect positively the patient’s outcome. Disclosures No relevant conflicts of interest to declare.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".