300 likes | 431 Views
WHAT IS THIS TELLING ME?. Robert J. Munk, PhD AIDS InfoNet / ATAC http://www.aidsinfonet.org. A project of the New Mexico AIDS Education and Training Center at the University of New Mexico Health Sciences Center. Too Much Information! Google search results 4/7/2010:
E N D
WHAT IS THIS TELLING ME? Robert J. Munk, PhD AIDS InfoNet / ATAC http://www.aidsinfonet.org A project of the New Mexico AIDS Education and Training Center at the University of New Mexico Health Sciences Center
Too Much Information! Google search results 4/7/2010: AIDS: 95 million results HIV: 50 million results
Too Many Sources! • Health web sites • AIDS web sites • Ads on search pages • Facebook • Twitter
Conflicting Information • Antioxidants and the Heart: good or bad? • Start treatment early! Or - delay for reasons of side effects, cost? • d4T: “least” toxic nuke? Or the worst?
Research Papers • Less hype • Better info • Author affiliations, contact info • Financial support • Conflicts of Interest • Journal reputation / peer review
Abstract • Background • Methods • Results • Conclusions Abstract: a “teaser” for full article or study. Do you want to read it all?
Abstract 124, CROI 2010 Rates of Cardiovascular Disease following Smoking Cessation in Patients with HIV Infection: Results from the D:A:D Study • Author list (10 people, “and the D:A:D Study Group”) • Author affiliations
Background • Why should I care? “Smoking rates are high in many populations. Most smokers can’t stop. In HIV negative people, substantial drops in heart disease within 1 to 2 years of stopping smoking. This study estimated CVD event rates after HIV+ stopped smoking.”
Methods • How was the study done? Who was studied? “Pts. included if in D:A:D study, no CVD before enrollment. Noted current smoking, how long since stopping, and heart disease events. Calculated rates for never smoked, stopped before study, stopped during study, or still smoke.”
Methods (Continued) • How was the study done? Who was studied? “Incidence rates calculated. Adjusted for age, sex, cohort, calendar year, ARV treatment, diabetes, family history of CVD, lipids, blood pressure.”
Results • Findings of the study “27,586 patients had smoking status reported. There were 432 MI (myocardial infarctions = heart attacks), 600 CHD (coronary heart disease), 746 CVD (cardiovascular disease) and 1902 deaths.”
Results (Continued) • More findings “After adjustment for other covariates, the IRR (incidence rate ratios) of CVD in patients who stopped decreased from 2.32 within 1st yr of stopping to 1.49 after 3+ years.”
Results (Continued) • More findings “Similar trends were observed for the MI and CHD endpoints, but reductions in risk were less pronounced for all cause mortality.”
Do I Care? You should have enough information from the abstract to know if you want to read the whole article!
Consider the Source • University researcher • National Institutes of Health • Drug company staff • Who would pay to study this question? • Alternative therapies?
Who Was Studied? “Inclusion Criteria” • Age • Gender • Ethnicity • Geographic location
Who Was Studied? • Drug approval: pharma wants “clean” population, good adherence • HIV/Hepatitis C coinfection can be difficult for docs to deal with – confuses the data! Generalizability? Is the study population “real world”?
Who Wasn’t Studied? “Exclusion criteria” • Who would be harmed by study? • If drug has liver side effects? • If drug is injected? • Has psych side effects? • Causes birth defects?
Statistics • Lots of jargon! (p values, two-tailed, IRR, statistical significance) • The bottom line: Could the results be just by chance? Skills Building Workshops II: 2:45pm ~ 4:00pm Statistics: The Basics: Tim Horn, AIDSMeds.com
Design Issues How confident are we in the results? • How many were studied? The “N”? • Control group? • Randomization? • Blinding? Skills Building Workshops III: 4:15pm ~ 5:30pm From SMART to START: Understanding Randomized Controlled Trials: Paul Dalton, AIDS Treatment Activist Coalition (ATAC)
Data Analysis Was analysis “pre-specified”? “Torture the data until it confesses”
What’s the Trial Design? “People who switched to Geico Insurance saved an average of $350.”
What’s the Trial Design? “85% of people who used our herbal ointment had their herpes lesions clear up within 4 weeks.”
http://www.aidsmeds.com • Patient oriented • “Lesson” format • Expert interviews from key conferences
http://www.natap.org • Comprehensive information organized by topic • Many original articles • Expert articles on key issues, conferences • Fairly technical content
http://clinicaloptions.com • “Professional” orientation • Extensive conference coverage • Many CME offerings for MD, RN, RPH and others • Expert “discussion” of key studies and conferences
You Be the Judge Authors are trying to prove something! Are you convinced? Researchers want a solid answer. Will they get one with this study?
Correlation is not Causation! Ice cream causes drowning!!!
Customers Who Switched to GEICO Saved an Average of $350 • Inclusion criteria? • Control group? • Who DIDN’T Save?
Herbs Effective Against Herpes We gave an herbal supplement to 86 people with genital herpes outbreaks. After 4 weeks, 86% of them had no pain, itching, or visible herpes sores.