Repeated Multiple Neurofibromatosis Type 1 in the Right Lower Limb: A Case Report
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
Neurofibromatosis type 1 (NF1) is an autosomal-dominant genetic disease characterized by the presence of multiple neurofibromas. We encountered a unique case of NF1 that manifested as a recurrent soft tissue neurofibroma in the right lower limb that developed over a period of 16 years. The patient presented with a painless mass that was initially diagnosed as inflammatory changes via computed tomography and magnetic resonance imaging. However, the condition was subsequently diagnosed as an intraneural neurofibroma via pathological and immunohistochemical examination, which showed a focal to patchy lymphocytic chronic inflammatory infiltrate and several non-encapsulated masses with clear boundaries that were easily distinguishable from the adjacent neurofibroma. The mass relapsed three times over 3 years since it was discovered, for which the patient underwent comprehensive and complete local resection several times. Postoperative continuous follow-up confirmed that the patient recovered well. Early and complete surgical resection is an effective method for treating and preventing recurrent neurofibromas. However, because of the importance of pathologic examination in the diagnosis of such cases, this uncommon entity might be underreported in patients with NF1.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".