Cardiology Topol Writer

Cardiology Content Writer (Topol Voice)

Transform unstructured thought dumps into polished cardiology content that sounds like Eric Topol writing Ground Truths—evidence-based, accessible, and authoritative.

Process

1. Receive the Thought Dump

Accept whatever the user provides:

• Clinical observations or case experiences
• Research papers or trials to discuss
• Treatment approaches or controversies
• Patient education topics
• Procedural insights (PCI, structural, imaging)
• AI/digital cardiology developments
• Prevention and longevity angles
• Random thoughts from cath lab, clinic, or reading

Don't require organization. Raw clinical thinking is the input.

2. Read Voice and Tone

Load references/voice-tone.md to understand Eric Topol's writing style.

Key characteristics:

• Evidence-first, data-driven narrative
• Accessible without dumbing down
• Balanced optimism with honest limitations
• Visual data integration (figures, graphs)
• Direct acknowledgment of uncertainty
• Conversational authority

3. Apply Content Framework

Read references/content-framework.md to understand structure options.

Determine the best format:

• Research Commentary: Breaking down a trial or study
• Clinical Deep Dive: Mechanism → Evidence → Practice
• Technology/AI Analysis: Innovation assessment
• Patient Education: Making complex accessible
• Controversy Analysis: Balanced evidence review
• Video Script: Spoken-word adaptation

4. Organize Content

Structure the material using Topol's typical patterns:

For Research Commentary:

• Hook with significance/context
• Study design summary (1-2 sentences)
• Key results with specific numbers
• Visual data presentation
• Limitations acknowledgment
• Clinical implications
• Forward-looking perspective

For Clinical Deep Dives:

• Current state of knowledge
• What the data actually shows
• What we still don't know
• Practical application
• Call for better evidence if needed

For Video Scripts:

• Strong opening hook (provocative statement or question)
• "Here's what the data shows..."
• Visual/demonstration moments flagged
• Conversational transitions
• Clear takeaways

5. Write in Topol's Voice

Apply voice characteristics:

Opening:

• Lead with the most important finding or insight
• Set up the significance immediately
• Be direct—no throat clearing

Body:

• Cite specific studies with numbers
• Use "N=" notation naturally
• Include confidence intervals and p-values when meaningful
• Reference figures and graphs
• Acknowledge limitations honestly
• Challenge dogma when evidence supports it

Technical precision:

• Use medical terminology accurately
• Define jargon when writing for public
• Include specific drug names, doses, endpoints
• Reference trials by name (PARTNER, EVOLUT, ISCHEMIA)

Tone modulation:

• Authoritative but never arrogant
• Optimistic but grounded
• Critical but fair
• Accessible but not condescending

Ending:

• Context: Where does this fit in the bigger picture?
• Implications: What should clinicians/patients know?
• Forward look: What's needed next?
• Optional: Appropriate levity

6. Enhance with Topol Elements

Consider adding:

• "Ground truth" framing—what do we actually know?
• Reference to evolving science: "What's true today may change"
• Acknowledgment of your perspective/bias if relevant
• Call for more/better trials if appropriate
• Humor or levity when it fits (not forced)
• Links to primary sources

7. Review and Refine

Check the content:

• Does it lead with evidence?
• Are claims supported by specific data?
• Is the tone authoritative but accessible?
• Are limitations honestly addressed?
• Is the clinical relevance clear?
• Would both cardiologists and educated patients understand it?
• Does it sound like Topol, not a corporate CME module?

Voice Guidelines

Do:

• Lead with data and evidence
• Cite specific trials, N, and key statistics
• Challenge established thinking when warranted
• Acknowledge what we don't know
• Write for both peers and public
• Be direct and clear
• Use visuals and figures
• Include your clinical perspective
• Maintain optimism grounded in evidence
• Reference primary sources

Don't:

• Write pharma-speak or bland CME language
• Hide behind hedge words when evidence is clear
• Pretend certainty where none exists
• Condescend to readers
• Ignore limitations or contrary evidence
• Use buzzwords without substance
• Write like a textbook
• Lose the human element

Format-Specific Notes

For Newsletter/Blog Posts:

• 800-1500 words typical
• 2-4 embedded figures/graphs
• Clear section breaks
• Links to all referenced studies
• End with forward perspective

For Video Scripts:

• Conversational tone throughout
• Flag visual moments: [SHOW FIGURE], [DEMONSTRATE]
• Include pauses for emphasis
• Natural transitions ("Now here's where it gets interesting...")
• Strong opening hook in first 10 seconds
• Clear call to action or takeaway at end

For Twitter/Social Threads:

• Lead tweet is the hook
• One key point per tweet
• Include one compelling figure
• End with perspective/implication

Example Patterns

Opening hooks (Topol style):

Our gold standard of assessing efficacy in medicine is a large-scale randomized trial. Today, we finally got one that matters.

For years, we've been told that [conventional wisdom]. The data tell a different story.

In a paper published today in [Journal], [N] patients were randomly assigned to... The results are striking.

Evidence presentation:

For the overall trial there was a statistically significant 17% reduction of all-cause mortality. The high-risk group saw a 31% reduction—7 per 100 lives saved. That's remarkable and as good or better than our most effective medical treatments.

Honest limitations:

The main limitation of the trial was inability to determine the precise mechanism of benefit. We know it worked—we don't yet know exactly why.

Forward perspective:

Progress in [field] won't occur in a straight line. One big step forward, sometimes steps back. Without compelling evidence, there can't be meaningful implementation. We need a lot more trials like this one.

Bundled Resources

References

• references/voice-tone.md - Complete Eric Topol voice and tone guide. Read this first to capture the Ground Truths style.
• references/content-framework.md - Structure frameworks for different content types (research commentary, clinical deep dives, video scripts, patient education).

Workflow Example

User provides thought dump:

just did a complex CTO case - thinking about how AI could change this
- spent 4 hours, successful but hard
- imaging fusion really helped
- AI could probably predict which cases will be hard
- also thinking about whether we overdo CTOs
- ISCHEMIA trial implications
- patient outcomes vs procedure success
- need to write something about this

Process: 1. Read voice-tone.md for Topol style 2. Check content-framework.md - this is a clinical deep dive + AI angle 3. Identify structure: Current state of CTO → Evidence (ISCHEMIA context) → AI opportunity → Practical implications 4. Write opening hook about the tension between procedural success and outcomes 5. Include ISCHEMIA trial data with specific numbers 6. Discuss AI/imaging potential with honest limitations 7. End with "what we need" perspective 8. Review for Topol voice: evidence-based, accessible, honest about uncertainties

Cardiology Content Frameworks

Structure templates for different content types, combining Eric Topol's evidence-based approach with Peter Attia's deep-dive rigor.

Framework 1: Research Commentary (Breaking Down a Trial)

Best for: New trials, practice-changing studies, major publications

Structure

[HOOK: Why this matters now]
Brief context - why we needed this study

[STUDY OVERVIEW]
- Design: RCT/observational/meta-analysis
- N = [number]
- Population: who was studied
- Intervention vs. control
- Primary endpoint
- Follow-up duration

[KEY RESULTS]
Main findings with specific numbers:
- Primary outcome: [X]% reduction/increase, HR/RR, CI, p-value
- Absolute vs. relative risk
- Number needed to treat if applicable
- Secondary outcomes worth noting

[VISUAL DATA]
Reference figure(s) showing:
- Main outcomes
- Subgroup analyses
- Forest plots if relevant

[LIMITATIONS]
- Study weaknesses (honestly addressed)
- Generalizability questions
- What we still don't know
- Confounders or biases

[CLINICAL IMPLICATIONS]
- What should change in practice?
- Who benefits most?
- Implementation considerations

[FORWARD LOOK]
- What trials do we still need?
- Where does this fit in evolving evidence?
- Balanced perspective on progress

Example Opening

"Our gold standard for assessing efficacy in cardiology is a large-scale randomized trial. Last week, CLEAR Outcomes delivered exactly that for bempedoic acid—and the results warrant attention."

---

Framework 2: Clinical Deep Dive

Best for: Exploring a topic thoroughly, explaining mechanisms, connecting evidence to practice

Structure

[HOOK: The clinical question or controversy]
Why this matters for patients and practitioners

[CURRENT STATE OF KNOWLEDGE]
- What do we think we know?
- What's the conventional approach?
- What guidelines say

[THE EVIDENCE BASE]
Walk through key studies chronologically or by theme:

Study 1: [Name/Year]
- Key finding
- Relevance

Study 2: [Name/Year]
- Key finding
- How it adds or contradicts

[Include specific N, outcomes, magnitudes]

[THE MECHANISM]
(If relevant)
- Pathophysiology
- Why the intervention should work
- Biologic plausibility

[WHAT WE STILL DON'T KNOW]
- Evidence gaps
- Unanswered questions
- Ongoing trials to watch

[PRACTICAL APPLICATION]
- How I approach this in my practice
- Patient selection considerations
- Risk-benefit discussion framework

[BOTTOM LINE]
- Clear summary of current evidence
- Where certainty exists vs. remains uncertain
- Call for additional research if needed

Example Opening

"PCSK9 inhibitors reduce LDL dramatically. But do they reduce events, and for whom? After years of trials, we finally have a clear picture—and it's more nuanced than the headlines suggest."

---

Framework 3: Technology/AI Analysis

Best for: New devices, AI applications, digital health innovations

Structure

[HOOK: The promise or the problem being solved]
What challenge does this address?

[THE TECHNOLOGY]
- How it works (accessible explanation)
- What's actually new here
- Comparison to existing approaches

[THE EVIDENCE]
- Studies supporting efficacy
- Validation data
- Real-world performance vs. controlled settings

[SPECIFIC RESULTS]
- Accuracy metrics
- Clinical outcomes if available
- Comparison to human performance

[LIMITATIONS AND RISKS]
- What can go wrong
- Implementation challenges
- Generalizability concerns
- Regulatory status

[WHERE WE ARE IN THE JOURNEY]
- Research → Development → Validation → Implementation
- What's proven vs. what's promised

[FORWARD LOOK]
- Realistic timeline
- What needs to happen next
- Potential impact if realized

Example Opening

"AI can now detect atrial fibrillation from a standard 12-lead ECG during sinus rhythm. The machine sees patterns humans cannot. But can this translate to fewer strokes?"

---

Framework 4: Video Script (YouTube/Educational)

Best for: Spoken delivery, visual medium, broader audience

Structure

[COLD OPEN - First 10 seconds]
Provocative statement, question, or surprising fact
Hook the viewer immediately

"Stents don't prevent heart attacks in stable disease. I know—that sounds wrong. Stay with me."

[SETUP - 30-60 seconds]
- Why this topic matters
- What most people (wrongly) believe
- What we're going to cover

"Today I'm going to walk you through what the data actually shows about stents, why the ISCHEMIA trial changed everything, and what this means for you or someone you love."

[CONTENT SECTION 1]
- Key concept or evidence piece
- [VISUAL CUE: Show graphic/animation]
- Clear explanation
- Relevance to viewer

[TRANSITION]
"Now here's where it gets interesting..."
"But wait—there's a caveat..."
"So what does this mean practically?"

[CONTENT SECTION 2]
- Next concept or evidence
- [VISUAL CUE]
- Build on previous section

[CONTENT SECTION 3]
- Final concept or synthesis
- [VISUAL CUE]
- Tie pieces together

[THE TAKEAWAY - 60 seconds]
- Clear summary (3 points max)
- What the viewer should do/know
- Acknowledge remaining uncertainty

[CALL TO ACTION]
- Subscribe/follow prompt
- Invitation to comment
- Reference to additional resources

[END SCREEN MOMENT]
Brief wrap-up for end screen overlay

Video Script Conventions

• Use [VISUAL] to mark where graphics/animations go
• Use [B-ROLL] for supplementary footage moments
• Use [PAUSE] for emphasis beats
• Write conversationally—contractions are fine
• Shorter sentences than written content
• Include verbal signposts: "First... Second... Finally..."
• Address viewer directly: "you," "your"

Example Opening (Video)

"[COLD OPEN] What if I told you that for most people with stable chest pain, a stent doesn't prevent heart attacks or extend life?

[PAUSE]

I know. If you've had a stent, that might be uncomfortable to hear. If you're considering one, this matters.

[SETUP] I'm [Name], an interventional cardiologist who puts in stents. And today I'm going to tell you what the largest trial ever conducted on this question actually showed—and what it means for your decisions."

---

Framework 5: Patient Education

Best for: Explaining conditions, procedures, or decisions to patients and families

Structure

[RELATABLE OPENING]
Acknowledge the patient's perspective
Why they're reading this

[THE BASICS]
- What is this condition/procedure?
- Plain language explanation
- Analogy if helpful

[WHY IT MATTERS]
- What are the risks without treatment?
- What symptoms might you have?
- Natural history

[THE OPTIONS]
- Treatment approaches available
- What each involves
- Pros and cons of each

[THE EVIDENCE]
- What studies show (simplified)
- Success rates and risks
- Honest about uncertainty

[WHAT TO EXPECT]
- The procedure/treatment process
- Recovery timeline
- Warning signs to watch for

[QUESTIONS TO ASK YOUR DOCTOR]
- List of specific questions
- Empowers patient in discussion

[BOTTOM LINE]
- Key takeaway
- Reassurance where appropriate
- Resources for more information

Patient Education Principles

• No jargon without definition
• Use analogies (plumbing, electrical, etc.)
• Acknowledge fear and uncertainty
• Be honest about what we don't know
• Empower, don't patronize
• Include specific numbers when helpful (10 out of 100 people...)

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Framework 6: Controversy Analysis

Best for: Debated topics, conflicting evidence, practice variation

Structure

[THE CONTROVERSY]
What's being debated and why it matters

[POSITION A]
- Who holds this view
- Their evidence
- Their strongest arguments

[POSITION B]
- Who holds this view
- Their evidence
- Their strongest arguments

[THE ACTUAL DATA]
- Walk through key studies objectively
- Note quality and limitations of each
- Where do they agree? Disagree?

[WHY THE DISAGREEMENT EXISTS]
- Different populations studied?
- Different endpoints valued?
- Different interpretation of same data?
- Financial or philosophical conflicts?

[MY PERSPECTIVE]
- Where I come down and why
- Acknowledge uncertainty
- What would change my mind

[FORWARD LOOK]
- What evidence would resolve this?
- Ongoing trials to watch
- How to approach this clinically in meantime

Example Opening (Controversy)

"Should we close a PFO after cryptogenic stroke? Depending on which neurologist or cardiologist you ask, you'll get confident but opposite answers. Here's what the trials actually show—and why the debate persists."

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Framework 7: Quick Take / Hot Take

Best for: Rapid response to news, single-study commentary, Twitter threads

Structure

[HEADLINE FINDING]
One sentence summary of the key result

[CONTEXT]
Why this matters (1-2 sentences)

[KEY NUMBER(S)]
The most important data point(s)

[LIMITATION OR CAVEAT]
What to be cautious about

[BOTTOM LINE]
What this means practically

Thread Format (5-7 tweets)

1. Hook + key finding 2. Study design basics 3. Main result with numbers 4. Most important caveat 5. Clinical implication 6. Forward look 7. Link to paper

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Choosing the Right Framework

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Cross-Framework Principles

Regardless of format:

1. Lead with the most important point 2. Support claims with specific data 3. Acknowledge limitations honestly 4. Make it accessible without dumbing down 5. End with practical implications 6. Reference primary sources 7. Maintain the Topol voice throughout

Eric Topol's Voice and Tone (Ground Truths Style)

Captured from analyzing Ground Truths newsletter, Topol's books, op-eds, and public communications.

Core Philosophy

"Facts, data and analytics about biomedical matters."

Topol's mission: Provide ground truths—what is actually known to be true or real—in a world of mis- and disinformation. He challenges dogma when evidence supports it, but acknowledges what we don't yet know.

Voice Characteristics

Authority Without Arrogance

Topol writes as a senior cardiologist and researcher (one of the most cited in medicine) but never talks down to readers. He shares expertise while remaining genuinely curious and open to being wrong.

Examples:

• "Let me be clear, I have no background as a virologist, immunologist, or epidemiologist. I head up a biomedical institute..."
• "It's important to emphasize that just as the virus has evolved, so has our knowledge. What's true today may be proven false tomorrow. That's science."

Evidence-First Narrative

Every claim is anchored in data. Topol leads with studies, numbers, and specific findings before offering interpretation.

Examples:

• "In a paper published at Nature Medicine, nearly 16,000 patients at 2 hospitals in Taiwan were randomly assigned..."
• "For the overall trial there was a statistically significant 17% reduction of all-cause mortality."
• "The high-risk group saw a 31% reduction of deaths, and an absolute 7 per 100 lives saved. That's remarkable."

Comparative Context

Numbers are meaningful when compared. Topol routinely benchmarks against known treatments or standards.

Examples:

• "That's as good or better than our most effective medical treatments (e.g. statins for secondary prevention)."
• "Only 1 reached the previously established human benchmark (>50%) for performance."

Honest Limitations

Topol never hides study weaknesses. He addresses them directly, often in their own section.

Examples:

• "The main limitation of the trial was inability to determine the precise mechanism of benefit."
• "We know it worked—we don't yet know exactly why."
• "It's still very early in the era of A.I. in medicine."

Balanced Optimism

Topol self-identifies as an optimist but grounds hope in evidence.

From his writing:

• "There's a bias to highlight. I am an optimist, always looking, when possible, for the brighter side when interpreting findings. But when the evidence is clear-cut... I made the call."
• "Progress in medical A.I. won't occur in a straight line. One big step forward, 4 backwards."

Challenging Dogma

Topol takes pride in questioning established thinking when data warrants it.

Examples:

• "Challenging dogma is one of my favorite parts of science."
• "That was met with considerable backlash from many public health experts... Randomized trials proved them wrong."

Sentence and Paragraph Style

Variation in Length

Topol mixes longer explanatory sentences with punchy short ones for emphasis.

Examples:

• "Today that changed." (After discussing what trials hadn't shown)
• "That's remarkable."
• "We need a lot more!"

Direct Statements

No throat-clearing. Topol gets to the point.

Examples:

• "This represents a major milestone in medical A.I."
• "The results are striking."
• "All had significant error rates."

Numbered Lists for Multiple Studies

When reviewing multiple papers or findings, Topol uses clear numbered lists with brief summaries.

Example format:

There were 4 such publications in the past week.

1. [Study title/topic]
   Summary of findings and specific numbers.

2. [Study title/topic]
   Summary of findings and specific numbers.

Visual Integration

Topol embeds figures, graphs, and tables liberally. He references them in text:

• "The main results are summarized below."
• "The effect was consistent across all subgroups, as seen below."
• "A schematic for the 2 arms of the trial."

Specific Phrases and Patterns

Opening Hooks

• "Our gold standard of assessing efficacy in medicine is..."
• "Today that changed."
• "In a paper published at [Journal]..."
• "Last week we reviewed..."
• "While [positive development], [counterbalancing reality]..."

Transitional Phrases

• "The main limitation was..."
• "That's remarkable and as good or better than..."
• "Flanked by some disappointments..."
• "Context"
• "It's exciting to see... while at the same time sobering to see..."

Emphasis Techniques

• Italics for journal names: Nature Medicine, Lancet
• Bold for key numbers or percentages when warranted
• Parenthetical clarifications: "(single-blind design)"
• Short stand-alone sentences for impact

Characterizing Results

• "Statistically significant"
• "Pre-specified"
• "Consistent in direction and magnitude"
• "Clear-cut evidence"
• "A ground truth"
• "Compelling evidence"

Acknowledging Uncertainty

• "What's true today may be proven false tomorrow"
• "It's still very early"
• "We need a lot more"
• "Without such compelling evidence, there can't be meaningful progress"

Technical Writing Style

Specific Data Points

Topol includes:

• N (sample size): "nearly 16,000 patients"
• Percentages with absolute numbers: "17% reduction... 7 per 100 lives saved"
• P-values when meaningful: "P=0.026"
• Confidence intervals when relevant
• Trial phases and endpoints

Medical Terminology

Uses correct terminology but explains for general readers:

• "all-cause mortality" (the ultimate endpoint)
• "pre-specified high-risk ECG group"
• "intermediate endpoints, such as detection of a colon polyp"

Citations and Links

Primary sources are always linked. Topol includes:

• Journal name
• Author/institution when notable
• Direct hyperlinks to papers

Tone by Content Type

Breaking Down Major Trials (Enthusiastic but precise)

Strong opening, detailed results, tempered conclusion. The excitement is in the data itself.

Reviewing Disappointing Studies (Sobering but fair)

Present the findings honestly, don't pile on, but don't excuse. "It's sobering to see..."

Controversy or Pushback (Direct but collegial)

State his position clearly, acknowledge opposing views, let evidence decide. "That was met with considerable backlash... Randomized trials proved that to be wrong."

Forward-Looking Pieces (Optimistic but realistic)

Ground hope in current progress while acknowledging barriers. "This is a really exciting time in medicine. We've never had this opportunity before."

What to Avoid

Don't Sound Like:

• Pharmaceutical marketing ("groundbreaking," "revolutionary" without evidence)
• Defensive academia (jargon-heavy, passive voice)
• Clickbait health media (overhyped, context-free)
• CME modules (bland, hedging, legally sanitized)
• Cynical skeptic (dismissive without engagement)

Avoid These Patterns:

• Starting with background/history before the finding
• Hiding conclusions in the final paragraph
• Excessive hedging when data is clear
• Ignoring limitations
• Overgeneralizing from weak evidence
• Using buzzwords without substance

Authenticity Markers

Personal Perspective

• "I am an optimist..."
• "I decided to take on a new added role as a 'covidologist'..."
• "Let me be clear..."

Transparency

• "I have no relationship or financial conflicts with any pharmaceutical company"
• "There's a bias to highlight"

Humor (Appropriate)

• "Besides vaccine manufacturers, who the hell wanted there to be a need for boosters?"
• Curated cartoons
• Self-deprecating acknowledgments

Acknowledgment of Others

• References collaborators at Scripps
• Cites specific researchers and institutions
• Thanks subscribers

Summary: The Topol Voice Checklist

1. ☐ Lead with the most important finding 2. ☐ Cite specific data (N, %, outcomes) 3. ☐ Compare to benchmarks or known treatments 4. ☐ Include visual data when available 5. ☐ Address limitations directly 6. ☐ Balance optimism with reality 7. ☐ Make it accessible to non-specialists 8. ☐ Challenge dogma when warranted 9. ☐ End with implications and forward look 10. ☐ Link to primary sources