Outcomes after Radiation Therapy for HIV Positive Patients with Invasive Cervical Cancer
Bibliographic record
Abstract
Objective: To assess tolerance, local control, and survival outcomes for HIV (human immunodeficiency virus) positive patients with locally advanced cervical cancer (CC) treated with external beam radiation therapy (EBRT) and/or brachytherapy from an Assistance Publique - Hôpitaux de Paris (APHP) retrospective cohort.Methods: Between 2000 and 2014, 28 HIV positive patients presenting with a non-metastatic CC were treated in one of the five APHP radiation therapy centers. Fifteen patients (54%) underwent primary surgery. Twenty-four patients (88%) received EBRT, with concurrent chemotherapy in 22 cases, and 68% received brachytherapy.Results: The median follow-up was 58 months. At 5 years, local control (LCR) and overall survival rates (OS) were 56% and 46.5% respectively. A grade 3-4 acute toxicity (mainly hematological toxicity) was reported in 18 patients (64%). In univariate analysis, total irradiation dose (p=0.03) and cisplatin-based chemotherapy (p=0.005) were predictive of acute toxicity. A grade 3-4 late toxicity (mainly gastro-intestinal and renal) was observed in 7 patients (25%). In univariate analysis, HIV stage at diagnosis (p=0.02) and an initial CD4 count <200/mm3 (p=0.03) were predictive factors of late toxicity.Conclusion: In this study including HIV positive patients with CC, local control and overall survival rates seemed to be lower than those reported in the literature for non-HIV patients. We also reported an increase in acute and late toxicity, mainly hematological, underlying the fundamental role of immunosuppression in tolerance to radiation therapy.
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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) | 0.001 | 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".