Chill, Jill.
Studies that focus on people who are in treatment or based on a pre-defined risk group, may be biased. Not in a hatefully political way (no finger pointing here - jeesh) but biased in a scientific way.
There is no mystery how transmission occurs, that is not the point, never was, never will be in my mind. It is about the subtle statistical biases that can creep into any study if a rigorous double blind scenario is not followed. Using sick people ready to take therapy, or only pre-defined risk groups (urban out gay men and IVDU’s) is hardly an accurate picture. While making up most of the infected in the US, they are not all. Closeted gay men, non-IVDU, non-gay-identified men, etc. are not routinely followed in any way. Until they enter treatment, and are then counted as being in a risk group (or often innacurately outside of it). But in either case their lack of prophylactic treatment, early intervention etc. makes another HIV+ statistic appear on the “radar” not long before another death from HIV does. For example, I know of an African American closeted gay male (a minister), who did not get tested, finally got sick (years from HIV to AIDS totally UNKNOWN in this case - exactly my point), died 3 months later. His previous “demographic” (pos and healthy), never entered the national statistics until shortly before his death also did, same year.
To create an extreme continuum, with reality lying somewhere in between, if ALL HIV people were untracked until severe illness, the statistical figure for time from HIV+ infection to death by AIDS would be considered incredibly (innacurately) short. If on the other end, an entire cohort, representing a cross section of the population (still hard to do) was followed from ) rate of infection (let’s say we start with a cohort of 16 year olds, where the infection rate (while not zero is low for the general pop.) and follow them, tracking infection rates and progression to AIDS we would have a more accurate picture for a cross section of the population over race and gender for that age cohort.
In the MACS study on Hep B the study itself was not responsible for administering treatment. People were educated and referred to treatment. It was neither withheld, nor supplied.
Thanks for the reference - check out:
http://www.cdc.gov/hiv/pubs/hivser92.pdf
This highlights a national study - using various methods. (Unfortunately I cannot cut and paste from Adobe PDF documents - please do read for yourself, there are several interesting issues raised)
Sources:
Blood sampling from mothers who are giving birth, Federal job core applicants, runaway shelters, accident victims, etc.
All attempted to cancel out “skewing factors” - I will quote here - “Previous studies in many settings suggest that those who know or suspect they may be infected with HIV or at risk for infection may be less likely to participate in HIV studies, possibly causing the sero-prevalence to decrease”. The CDC sought to overcome that SCIENTIFIC BIAS in their studies. Apparently they agree with my anaylsis of the problem.
I found the study I was looking for - I’m glad they are doing it - it’s a good thing. Good but not perfect. Read on. (You don’t have to believe me, just check the reference)
Interestingly enough, the samples that were sent to the CDC were anonymous - to cancel the bias against people who are afraid to be tested. I’m not sure if they were asked for a general waver for “a national blood survey” etc.
People were not given treatment.
People were not told their status.
Testing was done on “discarded blood”.
Some demographic information was unavailable to the testing agency, although the general profile of the clinic from which it came was.
One arm of the study used emergency room and general hospital visit discarded blood for their sample - hmmm, that wouldn’t bias a higher seropositivity profile from IVDU’s and people with OIs related to AIDS would it?
In the case of some arms of the study, independent (“unlinked”) HIV testing and counseling was offered. Just like the MACS study - unlike double blind drug studies.
There is a ton of material in this study admitting (like any good one does) sources of potential bias. They unlike Jill do not call addessing a possibility of scientific bias “finger pointing”, I’ll repeat “jeeesh!”. Issues of reticense to test in certain populations normally in studies, untracked behavior, and how the relative age of a cohort, even when accrurately assayed, can confuse rates of infection within a given time period, and rates of total infection over time (“attrition”).
This study conscientiously address the scientific hurdles to an accurate study as outlined in my original posts - and then some. The number crunching required to randomize the data must be Herculean, but I commend them for their work. I do not confuse the results with a totally accurate picture of real HIV infection rates and time to progression to AIDS, for the general US population. In fact, more acurate than previous studies, they themselves admit possible biases.
In reply to another post -
The tuskegee experiment involuntarily withheld test results and treatment - highly unethical.