Digital Papillary Carcinoma: A Literature Review of Epidemiology, Management Strategies, and Patient Outcomes
Bibliographic record
Abstract
BACKGROUND: Digital papillary carcinoma (DPC) is a rare tumor arising from the sweat glands, often occurring in the digits of the hands or feet with metastatic potential. OBJECTIVE: To present a literature review of the epidemiology, management modalities, disease progression, and outcome data on DPC. METHODS: Using the OVID platform, MEDLINE and Embase were searched for studies providing original data on DPC. RESULTS: A total of 155 cases of DPC from 81 articles were included. No case of recurrence was reported after Mohs micrographic surgery (MMS) ( n = 3), 28% of cases had recurrence after excision ( n = 46), 29% of cases had recurrence after amputation ( n = 24), and 67% with biopsy alone ( n = 3). Majority of DPCs were located on the right side of the body (68%) within the upper extremities (75%). The third finger of the hand was most affected (37%) compared to the other digits. CONCLUSION: No clear consensus on the optimal management of DPC has emerged. Excision and amputation have shown comparable recurrence rates. MMS may be a viable treatment but was based on a small sample size. Majority of DPC cases are nonrecurring and nonmetastatic, with low reported rates of death. Ultimately, more comprehensive data are needed to establish optimal treatment guidelines for DPC.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".