ArticleHIV clinical trials2015
Measuring the potential role of frailty in apparent declining efficacy of HIV interventions.
Article in HIV clinical trials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIn recent HIV intervention trials, intervention efficacies appear to decline over time. Researchers have attributed this to "waning," or a loss of intervention efficacy. Another possible reason is heterogeneity in infection risk or "frailty." We propose an approach to assessing the impact of frailty and waning on measures of intervention efficacy and statistical power in randomized-controlled trials.
methodsUsing multiplicative risk reduction, we developed a mathematical formulation for computing disease incidence and the incidence rate ratio (IRR) as a function of frailty and waning. We designed study scenarios, which held study-related factors constant, varied waning and frailty parameters and measured the change in disease incidence, IRR, and statistical power.
resultsWe found that frailty alone can impact disease incidence over time. However, frailty has minimal impact on the IRR. The factor that has the greatest influence on the IRR is intervention efficacy and the degree to which it is projected to wane. We also found that even moderate waning can cause an unacceptable decrease in statistical power while the impact of frailty on statistical power is minimal. DISCUSSION: We conclude that frailty has minimal impact on trial results relative to intervention efficacy. Study resources would, therefore, be better spent on efforts to keep the intervention efficacy constant throughout the trial (e.g., enhancing the vaccine schedule or promoting treatment adherence).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.