Outcome in dogs with curative‐intent treatment of localized primary pulmonary histiocytic sarcoma
Bibliographic record
Abstract
Primary pulmonary histiocytic sarcoma (PHS) is a rare form of dendritic cell or macrophage neoplasia originating within the pulmonary parenchyma. There is limited literature describing prognosis in dogs with PHS receiving curative-intent treatment consisting of surgical excision and adjuvant chemotherapy. The primary objective of this study was to report outcomes in dogs with localized PHS treated with standardized local and systemic therapy. A secondary objective was to identify prognostic factors in this population. A multi-institutional retrospective study was performed and medical records including all surgical and histopathologic reports were retrospectively reviewed. For inclusion, dogs were required to have confirmed localized PHS and they must have undergone curative-intent surgery with resection of all gross primary tumour and enlarged tracheobronchial lymph nodes; additionally, they must have received curative-intent treatment with adjuvant single-agent CCNU chemotherapy. Twenty-seven dogs from six veterinary teaching hospitals and five private practices treated from 2008-2019 were included. The overall median survival time was 432 days. Higher CCNU dose was demonstrated to have a negative impact on survival on univariate, but not multivariable, analysis. Factors that were not found to be associated with survival on univariate analysis included body weight, breed, clinical signs at the time of diagnosis, hypoalbuminaemia, tumour size, lung lobe affected, lymph node metastasis, surgical margins and CCNU dose reductions. This study supports a favourable prognosis for dogs diagnosed with localized PHS treated with curative-intent surgery in addition to adjuvant CCNU chemotherapy and suggests that multimodal treatment may be advisable to attempt to prolong survival.
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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 | 0.000 | 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 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".