An Updated Systematic Review and Meta-analysis on the Treatment of Active Tuberculosis in Patients With HIV Infection
Bibliographic record
Abstract
BACKGROUND: Human immunodeficiency virus (HIV) infection increases the risk of poor outcomes in active tuberculosis. We updated a systematic review and meta-analysis assessing the effects of duration of rifamycins, schedule of dosing, and antiretroviral therapy (ART) on failure, relapse, death during treatment, and acquired drug resistance (ADR) in patients with HIV and active tuberculosis. METHODS: We searched for randomized control trials (RCTs) and observational studies published between January 2008 and November 2011. We pooled risk differences (RD) from RCTs comparing rifampin for ≥9 months and 6 months. Within strata of the 3 treatment covariates, we calculated pooled risks and adjusted odds ratios (aORs) using outcomes from RCTs and observational studies. RESULTS: After screening 2293 citations, 7 studies were added in the update. Risk of relapse was lowered with rifampin treatment for ≥9 months compared with 6 months (pooled RD = -9.1%; 95% CI, -16.5, -1.8). Odds of relapse were higher with shorter durations of rifamycins (aOR 2 vs ≥8 months = 5.0 [1.9, 13.2]; 6 vs ≥8 months = 2.4 [1.2, 5.0]) and in the absence of ART (aOR = 14.3, [2.1, 97.8]). Post hoc meta-regression restricted to arms with ART demonstrated no associations between rifamycin duration, dosing schedule, and outcomes. CONCLUSIONS: In patients with HIV and active tuberculosis, ART reduces the risk of TB relapse. Use of rifamycins for ≥8 months and daily dosing in the intensive phase also improve TB treatment outcomes; however, a paucity of evidence makes their importance less clear for patients on ART. There is an urgent need to increase the number of coinfected patients receiving ART.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.011 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| 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".