Monday, June 16, 2025

Four articles on PD

 

Bibliography (AMA Style)

  1. Martinez-Valbuena I, Tartaglia MC, Kovacs GG, Lang AE. Copathology in Atypical Parkinsonism—The Rule Rather Than the Exception? JAMA Neurol. Published online June 9, 2025. doi:10.1001/jamaneurol.2025.1630.

Emphasizes the importance of aSYN then focuses on the need for 4-repeat-tau markets also in SAA.
  1. Vaillancourt DE, Barmpoutis A, Wu SS, et al. Automated Imaging Differentiation for Parkinsonism. JAMA Neurol. 2025;82(5):495–505. doi:10.1001/jamaneurol.2025.0112.

  2. Hswen Y, Anderer S. A Large Proportion of Parkinson Disease Diagnoses Are Wrong—Here’s How AI Could Help. JAMA. Published online June 13, 2025. https://jamanetwork.com/journals/jama/fullarticle/10.1001/jama.2025.3276

Op ed and original article on independent AI based MRI readings for neuro diseases.
  1. Vieten M. Forget the Tremor: These Symptoms Come First in Parkinson’s. Medscape Medical News. Published June 10, 2025. https://www.medscape.com/viewarticle/forget-tremor-these-symptoms-come-first-parkinsons-2025a1000fj1

Updates on early DX and range of symptoms.  Does not focus on biomarkers as his points are that some symptom clusters - anosmia and REM behavior disorder - are nearly pathognomic.
Some of the points were made in a pivotal 2006 or 2008 article by Langson, PD, where parkinsonism (per se) is tip of the iceberg.

Thursday, June 12, 2025

My comment in JAMA INT MED (definitions of disease)

 

Viewpoint 
Less Is More

The Impact of Definitions of Disease on Overdiagnosis


####
Coding and insurance reimbursements
Victor Bell, MD | Private
I wonder how much insurance reimbursements and coding increases the need to define more things as disease. You can't get paid for "normal variation".
CONFLICT OF INTEREST: None Reported
Pertinent to Medicare Advantage Funding Issues with Disease-based Adjustment
BRUCE QUINN, MD PHD | Consultant
This article is relevant to current debates about the funding, or over-funding, of Medicare Advantage plans, which are risk-adjusted based on disease diagnoses. The relevant ICD-10 system is an inventory of coded diseases, but rarely has much information on the definitions of disease that should be used. This leaves CMS, auditors and managed care plans with numerous potential debates over what definitions should be applied when creating or reviewing the ICD-10 assignments.
CONFLICT OF INTEREST: None Reported

MolDx Cardio Genetic LCDs - June 2025 - Chat GPT Clarifies

 I asked Chat GPT to try a re write for clarity, while preserving each LCD's coverage criteria.

Here's the original blog June 12 on the two new LCDs.

https://www.discoveriesinhealthpolicy.com/2025/06/moldx-releases-two-cardiac-genetic-lcds.html


##

🔹 LCD L39950 – Hereditary Transthyretin Amyloidosis (hATTR)

Rewritten Coverage Criteria:

Molecular genetic testing for hereditary transthyretin amyloidosis (hATTR) is covered when all the following criteria are met:

  1. Patient Presentation
    The patient meets either of the following:

    • Has a clinical diagnosis of ATTR (wild-type or hereditary), or

    • Has cardiac signs or symptoms suggestive of ATTR cardiomyopathy (e.g., unexplained heart failure, arrhythmias),
      and at least one of the following:

      • African ancestry

      • A first-degree relative with a confirmed hATTR diagnosis

      • Clinical features aligned with published expert consensus (e.g., bilateral carpal tunnel syndrome, lumbar spinal stenosis)

  2. Neuropathy Variant
    Alternatively, if the patient presents with progressive sensorimotor and/or autonomic neuropathy, then either of the following must also apply:

    • A first-degree relative with a confirmed hATTR diagnosis

    • Additional features consistent with hATTR per consensus guidelines

  3. Test Utilization and Counseling

    • The patient has received pre-test counseling about the implications of the test.

    • The test results will be used to inform clinical management, such as therapy initiation.

  4. Test Design and Validity

    • The test includes only the minimum validated gene content required for clinical decision-making (e.g., TTR) or a known familial variant.

    • The test does not include unvalidated or non-actionable genes that could mislead care.

    • The test must have passed MolDX Technical Assessment (TA) confirming its clinical validity and utility.


🔹 LCD L39946 – Heritable Thoracic Aortic Disease (HTAD)

Rewritten Coverage Criteria:

Genetic testing for Heritable Thoracic Aortic Disease (HTAD) is covered when all the following criteria are satisfied:

  1. Clinical Indication
    The patient has a diagnosis of aortic root or ascending aortic dilation, aneurysm, or dissection (per national guidelines),
    and at least one of the following applies:

    • Onset or presentation before age 60

    • Syndromic features suggestive of a connective tissue disorder (e.g., Marfan syndrome, Loeys-Dietz, vascular Ehlers-Danlos)

    • A first- or second-degree relative with:

      • Thoracic aortic disease, or

      • Aneurysms (peripheral or intracranial), or

      • Unexplained sudden death at a relatively young age

  2. Test Design and Content

    • The patient has received genetic counseling on the risks and implications of testing.

    • The test includes only clinically validated genes with definitive or well-established evidence per ACC/AHA and ClinGen guidelines.

      • A single-variant test is permitted only if a known familial variant is being evaluated.

    • The panel must exclude genes of uncertain significance or poor validation that might lead to inappropriate clinical decisions.

  3. Regulatory Requirements

    • The test has passed MolDX Technical Assessment (TA)

    • The test is compliant with related MolDX policies, such as restrictions on repeat germline testing (L38353)

####

#

I then asked Chat GPT to provide constructive criticism for the LCD author.

##

Yes — both LCDs (L39950 and L39946) are generally well-aligned with clinical guidelines and thoughtfully written, but they do suffer from some recurring issues that may hinder clarity, consistent application, and efficient use by labs, clinicians, and payers. Here's a structured critique:


⚠️ Common Issues Across Both LCDs

1. Overly Verbose and Redundant Language

Both LCDs repeat ideas in multiple places, especially in the coverage sections. For example:

  • The need for counselingminimum gene content, and test utility appears multiple times, sometimes with slightly different phrasing.

  • They mix clinical eligibilitytest design requirements, and regulatory compliance into a single list, when they could be cleanly separated.

Impact: Slows comprehension and increases the risk that clinicians or test developers misinterpret which criteria are patient-facing vs lab-facing.


2. Vague Terms Without Operational Definitions

Both LCDs use terms like:

  • "Features consistent with expert consensus"

  • "Genes with definitive or well-established evidence"

  • "Properly validated" or "unclear clinical utility"

These phrases are not anchored to a specific source, leaving ambiguity:

  • Which specific guidelines qualify as “expert consensus”? ACC/AHA? ESC?

  • Which genes are deemed valid? The LCD references ClinGen in L39946 but does not give a list.

Impact: Creates interpretive flexibility that could lead to coverage disputes or inconsistent TA approvals.


3. Lack of Clarity About Single-Gene Testing vs Panel Testing

While both LCDs permit single-variant testing when a familial mutation is known, they don’t:

  • Clarify if this applies to duo/trio testing or reflex testing.

  • Clarify if limited panels (e.g. just TTR, or just FBN1/ACTA2) are acceptable for patients without known familial variants.

Impact: Labs may be uncertain whether they can offer targeted panels unless a family mutation is already known, potentially discouraging cost-effective testing.


4. Limited Guidance on Cascade or Family Testing

Both LCDs imply support for familial risk assessment, but do not clearly state:

  • Whether testing in asymptomatic relatives is covered

  • Whether cascade testing is included when the proband is Medicare-eligible

This is particularly relevant in L39946 (HTAD), where early detection in relatives can be life-saving.

Impact: May deter cascade testing or lead to unnecessary denials.


5. Technical Assessment (TA) Language Is Ambiguous

Both LCDs require that a test:

“has successfully completed a technical assessment (TA)...”

However, they don’t:

  • Define what the TA evaluates (analytical validity, clinical validity, or both?)

  • Link to a checklist or reference document explaining TA criteria

  • Distinguish between new and grandfathered tests

Impact: Adds friction for test developers seeking coverage, particularly new market entrants.


🔍 LCD-Specific Observations

📄 L39950 (hATTR)

  • The clinical phenotypes of hATTR-CM and hATTR-PN are mixed together in one long bulleted list. It would be clearer to break them into two distinct diagnostic pathways.

  • There's an overemphasis on detailed drug mechanisms and trials (tafamidis, acoramidis, RNAi agents). This may be more appropriate in a background article, not an LCD.

📄 L39946 (HTAD)

  • The LCD refers to ACC/AHA and ClinGen guidelines, but doesn’t specify a minimum list of genes (though it hints at 11 validated genes). A table of “required core genes” would enhance usability.

  • While it’s based on high-quality data, the gene–phenotype correlations are buried in long paragraphs that make it hard to parse actionable coverage implications.


✅ What They Do Well

  • Align with current guidelines (especially 2022 ACC/AHA for aortopathies and hATTR diagnosis).

  • Emphasize clinical utility, not just analytic validity — a good signal for payers and clinicians.

  • Include appropriate flexibility for new evidence or guideline changes.


🛠️ Suggested Fixes

  • Help the reader - Streamline coverage criteria into 3 buckets: (1) Patient eligibility, (2) Test design, (3) Compliance.

  • Provide an appendix or hyperlink to required gene lists (ClinGen, ACC/AHA)

  • Clarify whether family member testing is covered when a proband has a known mutation

  • Offer TA submission guidance in a separate MolDX companion article


Would you like a suggested redraft of the coverage criteria section using these structural improvements?

Monday, June 9, 2025

Articles on Novel Screening: McCabe (NRCO) and Dominitz (JAMA)

 

2025 JAMA 0602 Dominitz Illusion Simple ctDNA CRC Screening also McCabe.pdf

2025 NRCO McCabe Novel CRC Screening Challenges (also JAMA Dominitz).pdf


Summarize this pdf by McCabe only. Use paragraph form not bullets.

ChatGPT said:

In the article by McCabe and colleagues (2025) published in Nature Reviews Clinical Oncology, the authors critically examine the challenges posed by the rapid development and commercialization of novel blood-based tests for colorectal cancer (CRC) screening. While acknowledging the potential promise of these non-invasive tools, they caution against premature enthusiasm, particularly when such tests are promoted on the basis of unvalidated surrogate endpoints—such as cancer detection rates or stage shift—rather than proven reductions in CRC mortality or incidence. The authors emphasize that CRC screening is a mature field with several well-established, effective options (e.g., colonoscopy, FIT), and new entrants must demonstrate superiority or non-inferiority in clinical outcomes, not just convenience or intermediate markers.

McCabe et al. underscore that many new blood-based screening tests enter the market supported by single-arm studies and surrogate data, which do not adequately account for key biases such as lead-time and length bias. They argue that marketing claims based on early detection or stage distribution—without long-term outcome data—can mislead clinicians, patients, and payers. The article also highlights the risk that widespread adoption of less effective screening methods could dilute the public health impact achieved by current evidence-based modalities, particularly among underserved populations where screening uptake is already suboptimal.

The authors call for rigorous validation of these new tests through randomized controlled trials designed with appropriate endpoints, including CRC-specific mortality and incidence. They advocate for transparent regulatory pathways, thoughtful health policy, and careful consideration of downstream effects, such as overdiagnosis, false reassurance, and increased healthcare costs. In conclusion, McCabe and colleagues urge the oncology and public health communities to maintain high standards for evidence, especially when the stakes involve large-scale screening of healthy populations.

ChatGPT said:

In their June 2025 JAMA editorial, Dominitz, Patel, and Lieberman critically assess the growing enthusiasm for blood-based colorectal cancer (CRC) screening tests, warning against the "illusion of simplicity" they present. While these tests may appear more convenient and acceptable—particularly for individuals reluctant to complete colonoscopy or stool-based screening—they are far less effective at preventing CRC. This is due primarily to their poor sensitivity for detecting advanced precancerous lesions, which are the key targets for cancer prevention.

The authors focus on a recent clinical validation study of a novel circulating tumor DNA (ctDNA) test that showed decent sensitivity for CRC (79.2%) but very low sensitivity (12.5%) for advanced precancerous lesions, including only 7.6% for sessile serrated lesions. These findings are contrasted with stool-based tests like FIT, which are less sensitive for cancer per test but far superior at detecting precancerous lesions and are repeated more frequently. Modeling studies suggest that replacing colonoscopy or FIT with blood-based tests—particularly in adherent populations—would increase CRC cases and deaths.

Dominitz et al. do recognize a potential role for blood-based screening in individuals who categorically refuse existing screening options. However, they caution that this benefit hinges on follow-through with colonoscopy after an abnormal result—a step many patients currently skip, undermining screening effectiveness. They argue that while new tests may increase participation rates modestly, they risk diverting patients from proven, more effective strategies.

Ultimately, the editorial concludes that while blood-based tests represent a scientific advance, their widespread use as a first-line screening tool could paradoxically worsen public health outcomes. The authors urge clinicians to reserve them for nonadherent patients and to prioritize patient education about the strengths of colonoscopy and stool-based testing.

You said:
Discusss overlap versus divergence in the articles by MCCABE and DOMINITZ. Use only those two pdfs.

ChatGPT said:

The articles by McCabe (Nature Reviews Clinical Oncology, 2025) and Dominitz (JAMA, 2025) both critically evaluate the emerging role of blood-based colorectal cancer (CRC) screening tests, and while they differ in emphasis and tone, they largely converge on key messages grounded in evidence and public health priorities.

Both articles emphasize that blood-based screening tests, while potentially more acceptable to patients, are currently inferior in clinical effectiveness compared to established modalities like colonoscopy and fecal immunochemical testing (FIT). McCabe et al. stress that blood tests often enter the market with surrogate endpoints (e.g., stage shift or cancer detection) rather than demonstrated mortality reduction. Similarly, Dominitz et al. highlight that while blood tests may show reasonable sensitivity for invasive cancers, they fail to detect advanced precancerous lesions—a shortfall that undermines their ability to prevent cancer rather than merely detect it.

A point of strong overlap is their shared concern about substitution effects. Both groups warn that if blood-based tests replace more effective options in adherent individuals, CRC incidence and mortality may rise. McCabe expresses this risk in the language of evidence standards and regulatory oversight, whereas Dominitz provides modeling-based quantification, noting that population benefit from blood-based screening occurs only under specific trade-offs: for every three people who would otherwise choose colonoscopy or FIT, at least two people who are completely unscreened must adopt blood-based screening to avoid a net harm.

In terms of divergence, McCabe’s article is more focused on regulatory and evidentiary rigor. It critiques the premature marketing and reimbursement of tests that lack validated endpoints and frames the issue as one of standards degradation in a mature screening field. Dominitz, by contrast, centers more on the clinical and behavioral dynamics, exploring why patients avoid current screening and how blood-based tests might improve adherence—albeit with caveats. His editorial gives greater attention to patient psychology, outreach interventions, and the complexities of integrating new tools without displacing superior ones.

Another subtle divergence lies in tone and framing: McCabe’s piece is policy-focused and somewhat cautionary in tone, positioning premature adoption as a systemic risk. Dominitz, while also cautionary, adopts a more pragmatic clinical lens, acknowledging a place for blood-based screening as a second-line option for those unlikely to pursue established methods.

In sum, both articles align in their critical stance toward overreliance on blood-based CRC screening in its current form, emphasizing the importance of rigorous evidence and proper integration into screening programs. They diverge slightly in focus—McCabe toward policy and evidentiary standards, Dominitz toward clinical implementation and patient behavior—but their core message is unified: simplicity must not substitute for effectiveness in CRC screening.