Clinical features in Hodgkin lymphoma patients living with human immunodeficiency virus: A meta-analysis in the antiretroviral therapy era
Bibliographic record
Abstract
OBJECTIVE: Evaluate the clinical features in people with Hodgkin's lymphoma living with HIV (HIV-HL) during the combination ART (cART) era. DESIGN: Systematic review and meta-analysis. METHODS: The study was conducted in accordance with the recommendations of 2020 PRISMA and MOOSE statements. The protocol was prospectively registered through the PROSPERO (CRD42021289520). Manuscripts published until July 2023 were systematically searched in the PubMed, EMBASE, Cochrane Library, and Web of Science databases, with no language and year of publication restriction. Meta-analysis was performed to estimate a pooled proportion of each outcome using a random-effect analysis. Quality assessment was performed by using New-Castle Ottawa scale. Certainty of evidence was graded using the GRADE. RESULTS: Sixteen cohorts, representing 3.882 HIV-HL patients, were included in this review. Our findings indicate that HIV-HL patients showed a 2-year overall survival (OS) of 92% (95% CI 0.87, 0.95). However, the 5-year overall survival decreased to 79% (95% CI 0.74, 0.83), with a high certainty of evidence according to GRADE. Additionally, the 5-year progression-free survival declined to 79% and complete remission rate increased to 81%. Our meta-analysis indicates an increase for B symptoms (80%, 95% CI 0.75, 0.84) and extranodal involvement in bone marrow (43%, 95% CI 0.30, 0.47) among HIV-HL patients. CONCLUSION: The HIV-HL patients showed a 2-year OS of 92%. However, the 5-year OS decreased to 79%. The reported main cause of mortality among HIV-HL patients was progression of HL. Our systematic review and meta-analysis suggest that cART is associated with improved short-term survival of HIV-HL patients.
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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 | 0.014 | 0.024 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.050 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".