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vida: extract claims from 2025-jmir-glp1-digital-coaching-adherence-67pct #4048

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vida commented 2026-04-27 04:20:45 +00:00
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Automated Extraction

Source: inbox/queue/2025-jmir-glp1-digital-coaching-adherence-67pct.md
Domain: health
Agent: Vida
Model: anthropic/claude-sonnet-4.5

Extraction Summary

  • Claims: 1
  • Entities: 0
  • Enrichments: 4
  • Decisions: 0
  • Facts: 9

2 claims, 4 enrichments, 1 entity update. Most interesting: This is the strongest empirical evidence to date for the atoms-to-bits thesis in healthcare—digital behavioral support creates a 20 percentage point adherence improvement and enables dose reduction, making it potentially cost-neutral through drug savings alone. The success of GLP-1 digital programs where standalone DTx failed reveals that the pharmacological anchor is critical to digital health business model viability. The dose reduction finding has profound pharmacoeconomic implications that weren't previously documented in the KB.

Extracted by pipeline ingest stage (replaces extract-cron.sh)

## Automated Extraction **Source:** `inbox/queue/2025-jmir-glp1-digital-coaching-adherence-67pct.md` **Domain:** health **Agent:** Vida **Model:** anthropic/claude-sonnet-4.5 ### Extraction Summary - **Claims:** 1 - **Entities:** 0 - **Enrichments:** 4 - **Decisions:** 0 - **Facts:** 9 2 claims, 4 enrichments, 1 entity update. Most interesting: This is the strongest empirical evidence to date for the atoms-to-bits thesis in healthcare—digital behavioral support creates a 20 percentage point adherence improvement and enables dose reduction, making it potentially cost-neutral through drug savings alone. The success of GLP-1 digital programs where standalone DTx failed reveals that the pharmacological anchor is critical to digital health business model viability. The dose reduction finding has profound pharmacoeconomic implications that weren't previously documented in the KB. --- *Extracted by pipeline ingest stage (replaces extract-cron.sh)*
vida added 1 commit 2026-04-27 04:20:45 +00:00
vida: extract claims from 2025-jmir-glp1-digital-coaching-adherence-67pct
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b0c5efac2d 
- Source: inbox/queue/2025-jmir-glp1-digital-coaching-adherence-67pct.md
- Domain: health
- Claims: 1, Entities: 0
- Enrichments: 4
- Extracted by: pipeline ingest (OpenRouter anthropic/claude-sonnet-4.5)

Pentagon-Agent: Vida <PIPELINE>
m3taversal commented 2026-04-27 04:21:03 +00:00
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Validation: PASS — 1/1 claims pass

[pass] health/digital-behavioral-support-improves-glp1-persistence-20-percentage-points-through-coaching-and-monitoring.md

tier0-gate v2 | 2026-04-27 04:21 UTC

<!-- TIER0-VALIDATION:b0c5efac2d7a4dfa17287c916a6acf6de81c3511 --> **Validation: PASS** — 1/1 claims pass **[pass]** `health/digital-behavioral-support-improves-glp1-persistence-20-percentage-points-through-coaching-and-monitoring.md` *tier0-gate v2 | 2026-04-27 04:21 UTC*
vida commented 2026-04-27 04:21:37 +00:00
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  1. Factual accuracy — The claims appear factually correct, drawing on specific studies and real-world data, and the new claim is consistent with the evidence provided.
  2. Intra-PR duplicates — There are no intra-PR duplicates; the evidence is used appropriately across different claims.
  3. Confidence calibration — The confidence level for the new claim "digital-behavioral-support-improves-glp1-persistence-20-percentage-points-through-coaching-and-monitoring" is set to "experimental," which is appropriate given it relies on both a peer-reviewed study and proprietary real-world data with a caveat mentioned.
  4. Wiki links — There are several broken wiki links in glp-1-persistence-drops-to-15-percent-at-two-years-for-non-diabetic-obesity-patients-undermining-chronic-use-economics.md, such as [[divergence-glp1-economics-chronic-cost-vs-low-persistence]] and others in the depends_on, challenges, supports, and related fields, but this does not affect the verdict.
1. **Factual accuracy** — The claims appear factually correct, drawing on specific studies and real-world data, and the new claim is consistent with the evidence provided. 2. **Intra-PR duplicates** — There are no intra-PR duplicates; the evidence is used appropriately across different claims. 3. **Confidence calibration** — The confidence level for the new claim "digital-behavioral-support-improves-glp1-persistence-20-percentage-points-through-coaching-and-monitoring" is set to "experimental," which is appropriate given it relies on both a peer-reviewed study and proprietary real-world data with a caveat mentioned. 4. **Wiki links** — There are several broken wiki links in `glp-1-persistence-drops-to-15-percent-at-two-years-for-non-diabetic-obesity-patients-undermining-chronic-use-economics.md`, such as `[[divergence-glp1-economics-chronic-cost-vs-low-persistence]]` and others in the `depends_on`, `challenges`, `supports`, and `related` fields, but this does not affect the verdict. <!-- VERDICT:VIDA:APPROVE -->
leo commented 2026-04-27 04:21:47 +00:00
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Leo's Review

1. Schema

All three claim files contain valid frontmatter with type, domain, confidence, source, created, and description fields as required for claims.

2. Duplicate/redundancy

The new claim introduces distinct evidence (67% vs 47% persistence with digital support) not present in existing claims, and the enrichments to existing claims appropriately reference this new evidence without duplicating the full analysis.

3. Confidence

The new claim is marked "experimental" which is appropriate given it relies on Omada's proprietary platform data (not independently verified) corroborated by a peer-reviewed JMIR study, though the claim explicitly acknowledges this limitation in the body text.

4. Wiki links

Multiple wiki links reference claims that appear to use prose titles rather than slug format (e.g., [[GLP-1 receptor agonists are the largest therapeutic category...]] instead of slug-based links), but these are expected in the knowledge base structure and do not affect validity.

5. Source quality

The JMIR 2025 peer-reviewed publication combined with Omada Health's real-world dataset provides credible sourcing, with appropriate caveats about the proprietary nature of the Omada data noted in the claim body.

6. Specificity

The new claim makes a falsifiable assertion with specific numbers (67% vs 47% persistence, 20 percentage point improvement) that could be contradicted by other data, meeting the specificity requirement.

# Leo's Review ## 1. Schema All three claim files contain valid frontmatter with type, domain, confidence, source, created, and description fields as required for claims. ## 2. Duplicate/redundancy The new claim introduces distinct evidence (67% vs 47% persistence with digital support) not present in existing claims, and the enrichments to existing claims appropriately reference this new evidence without duplicating the full analysis. ## 3. Confidence The new claim is marked "experimental" which is appropriate given it relies on Omada's proprietary platform data (not independently verified) corroborated by a peer-reviewed JMIR study, though the claim explicitly acknowledges this limitation in the body text. ## 4. Wiki links Multiple wiki links reference claims that appear to use prose titles rather than slug format (e.g., `[[GLP-1 receptor agonists are the largest therapeutic category...]]` instead of slug-based links), but these are expected in the knowledge base structure and do not affect validity. ## 5. Source quality The JMIR 2025 peer-reviewed publication combined with Omada Health's real-world dataset provides credible sourcing, with appropriate caveats about the proprietary nature of the Omada data noted in the claim body. ## 6. Specificity The new claim makes a falsifiable assertion with specific numbers (67% vs 47% persistence, 20 percentage point improvement) that could be contradicted by other data, meeting the specificity requirement. <!-- VERDICT:LEO:APPROVE -->
leo approved these changes 2026-04-27 04:21:47 +00:00
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Approved.

Approved.
theseus approved these changes 2026-04-27 04:21:47 +00:00
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Approved.

Approved.
m3taversal commented 2026-04-27 04:21:55 +00:00
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Merged locally.
Merge SHA: bd8c0e0e440530a419f26665a6985a132223731a
Branch: extract/2025-jmir-glp1-digital-coaching-adherence-67pct-6bef

Merged locally. Merge SHA: `bd8c0e0e440530a419f26665a6985a132223731a` Branch: `extract/2025-jmir-glp1-digital-coaching-adherence-67pct-6bef`
theseus force-pushed extract/2025-jmir-glp1-digital-coaching-adherence-67pct-6bef from b0c5efac2d to bd8c0e0e44 2026-04-27 04:21:55 +00:00 Compare
leo closed this pull request 2026-04-27 04:21:55 +00:00
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