#188 - AMA #30: How to Read and Understand Scientific Studies

Dec 20, 2021 Episode Page ↗
Overview

Peter Attia and Bob Kaplan discuss how to critically evaluate scientific studies and distinguish signal from noise. They cover various study types, clinical trial phases, potential biases, and Peter's personal process for reading scientific papers.

At a Glance
10 Insights
30m 7s Duration
11 Topics
12 Concepts

Deep Dive Analysis

Introduction to Studying Studies and Sifting Noise

Process for a Study: From Idea to Design and Execution

Types of Studies: Observational vs. Experimental

Observational Studies: Case Reports, Case Series, and Cohort Studies

Experimental Studies: Non-Randomized and Randomized Trials

Systemic Reviews and Meta-Analyses

Phases of Human Clinical Trials: Phase One

Phases of Human Clinical Trials: Phase Two

Phases of Human Clinical Trials: Phase Three

Phases of Human Clinical Trials: Phase Four (Post-Marketing)

Factors Affecting Confidence in Observational Studies

Null Hypothesis

This is the starting position in scientific inquiry, stating that there is no relationship or effect between two phenomena being studied. For example, drinking coffee does not change eye color.

Alternative Hypothesis

This is the counter-position to the null hypothesis, suggesting that there is a relationship or effect between the two phenomena. For example, drinking coffee does change eye color.

Power Analysis

A crucial step in experimental design that determines the necessary number of subjects for a study. This ensures the study is adequately sized to detect a real effect if one exists.

Institutional Review Board (IRB)

A committee responsible for approving the ethics of any study involving human or animal subjects. Approval is required before a study can commence.

Observational Studies

Studies where researchers observe patterns and associations without intervening or assigning treatments. Examples include individual case reports, case series, and cohort studies, which can be retrospective or prospective.

Experimental Studies

Studies where researchers actively intervene and assign treatments to different groups to test a hypothesis. These can be non-randomized or, ideally, randomized controlled trials to minimize bias.

Meta-analysis

A statistical technique used to combine data from multiple studies that address the same research question. Each study is weighted based on its precision, with larger studies often given more weight.

Investigational New Drug (IND) Application

A formal application filed with the FDA after preclinical animal studies, signaling the intention to test a new drug in human subjects. This is the first step before human clinical trials begin.

Phase One Clinical Trial

The initial phase of human clinical trials, typically involving a small number of patients, focused on dose escalation to determine the drug's toxicity and safety profile across various doses. Efficacy is not the primary goal.

Phase Two Clinical Trial

Following Phase One, these trials continue to assess safety while also beginning to look for signs of efficacy. They are often open-label and may or may not include a control arm, typically involving tens to a few hundred patients.

Phase Three Clinical Trial

A large-scale, rigorous trial (often involving thousands of patients) that is typically randomized, blinded, and placebo-controlled (or compared to standard of care). This phase provides the gold standard data for measuring efficacy and safety for drug approval.

Phase Four Clinical Trial

Also known as post-marketing studies, these trials occur after a drug has been approved and is on the market. They gather additional safety information from a broader patient population or explore new indications for the drug.

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How does a study progress from an idea to design and execution?

A study typically starts with a hypothesis (often a null hypothesis), followed by experimental design, determination of sample size through power analysis, obtaining Institutional Review Board (IRB) approval, defining primary and secondary outcomes, developing a statistical plan, pre-registering the study, and securing funding.

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What are the different types of studies and how do they differ?

Studies broadly fall into observational (e.g., case reports, case series, cohort studies) and experimental categories (e.g., non-randomized and randomized controlled trials). Observational studies involve observing without intervention, while experimental studies involve active intervention and treatment assignment.

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What are the different phases of a human clinical trial?

Human clinical trials progress through four phases: Phase One focuses on dose escalation and safety in a small group; Phase Two continues safety evaluation and begins to look for efficacy; Phase Three is a large, rigorous trial for definitive efficacy and safety data for approval; and Phase Four (post-marketing) gathers additional information after approval.

1. Scrutinize Meta-Analyses’ Constituent Studies

Do not accept a meta-analysis as definitive without examining its individual studies, because a meta-analysis of poor-quality studies will yield poor-quality conclusions, as “garbage in, garbage out” and cannot clean garbage.

2. Prioritize Rigorous Randomized Trials

When evaluating scientific literature, rely more on a single, rigorous randomized controlled trial (RCT) that is ‘worth its salt’ over a meta-analysis that may include many lower-quality studies, as the quality of individual studies is paramount.

3. Identify Randomized Controlled Trials

Look for randomized controlled trials (RCTs) as the “gold standard” for studying questions, as they attempt to remove bias by randomly assigning people into treatment groups.

4. Observational Studies Lack Causality

Understand that observational studies, whether retrospective or prospective, can only identify patterns or associations, but cannot establish causality because researchers are merely observing without intervention.

5. Beware Non-Randomized Trials

Be cautious of non-randomized controlled trials, as the lack of random assignment means there’s a reason subjects are in specific groups, which will undoubtedly introduce bias and limit the study’s conclusions.

6. Understand Case Report Limitations

Recognize that individual case reports, while valuable for generating hypotheses and highlighting rare observations, are not generalizable to broader populations and cannot comment on the efficacy of any intervention.

7. Phase 1 Drug Trial Purpose

Know that Phase 1 clinical trials are very small studies (typically less than a hundred people) focused solely on dose escalation to determine drug toxicity across a range of doses, not on whether the drug works or provides patient benefit.

8. Phase 2 Drug Trial Purpose

Understand that Phase 2 clinical trials continue to assess safety and begin to look for efficacy, but are often done in an open-label (non-randomized) fashion, which can introduce bias.

9. Phase 3 Drug Trial Rigor

Recognize Phase 3 clinical trials as rigorous, large-scale (potentially thousands of patients), randomized, and blinded studies that serve as the gold standard for measuring a drug’s efficacy and safety for broad approval.

10. Phase 4 Drug Trial Purpose

Be aware that Phase 4 (post-marketing) studies occur after a drug has been approved to gather additional safety information from a larger, more diverse population and to explore new indications for the drug.

a thousand sows ears makes not a pearl necklace.

James Yang (quoted by Peter Attia)

garbage in, garbage out.

Peter Attia
less than a hundred
Typical number of people in a Phase One clinical trial These are very small studies focused on dose escalation and toxicity.
20-50, up to a few hundred
Typical number of people in a Phase Two clinical trial These studies continue safety evaluation and start looking for efficacy.
thousands
Typical number of people in a Phase Three clinical trial These are rigorous, large-scale trials for definitive efficacy and safety data for drug approval.