Recurrence of Non-Hodgkin Lymphoma at the Insulin Injection Site: Case Report
Bibliographic record
Abstract
This study sheds light on the effect of insulin, insulin-like growth factors (IGF), and their signalling receptors (IR and IGF-1R) on the progression of lymphoma. We report a case of a 64-year-old male with type 2 diabetes mellitus and a prior diagnosis of diffuse large B-cell non-Hodgkin lymphoma (DLBCL) treated with chemotherapy and local radiotherapy. Incredibly, four years post-treatment, the patient's DLBCL relapsed in the subcutaneous fatty tissue adjacent to the deltoid muscle of both the proximal left and right upper extremities, which were the sites he used to inject insulin. Insulin/IGF dysregulation can lead to tumour growth via angiogenesis. This mechanism is not limited to lymphoma and may contribute to the development of various types of cancer. While it is possible that DLBCL may have developed at the injection site either coincidentally, as a result of chronic inflammation, or potentially due to other factors that promote tumour growth, as we suggest in our case presentation, it is beneficial to emphasise the importance of tumour screening in diabetic patients, especially those receiving insulin injections. We therefore believe that regular screening of the insulin injection site should be included in routine consultations for these patients.
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 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 | 0.019 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".