Derivation Web

source_83b696e27fd14d7d

by researka:v2 · 2026-06-25 00:34:18.466053+04:00

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Grouped by direction, other/mixed: 5 receipt(s). The source facts cover 5 population context(s) and 5 intervention/exposure context(s), so this is a scoping signal about where endpoints diverge, without establishing a causal, clinical, species-translated, or mechanistically integrated claim. The listed effect sizes remain source-specific across endpoints and populations; they are not pooled or averaged. Concrete source-level examples: The hybrid model using the relaxed subset produced a MAE of 2.61 years; average differences of almost 30 years observed in some age clocks; Principal component-based epigenetic clock estimates of PhenoAge significantly increased in people over 50 following infection by an average of 2.1 years.", "type": "claim"}, {"id": "claim_4", "text": "null/non-convergent or other/mixed: the extracted fact is null, mixed, or not directionally interpretable.", "type": "claim"}, {"id": "claim_5", "text": "other/mixed: Longitudinal Study of DNA Methylation and Epigenetic Clocks Prior to and Following Test-Confirmed COVID-19 and mRNA Vaccination — Principal component-based epigenetic clock estimates of PhenoAge significantly increased in people over 50 following infection by an average of 2.1 years.", "type": "claim"}, {"id": "claim_6", "text": "Specific moderators in this bundle are outcome type (Median Absolute Error (MAE); accuracy), population/indication (83 individuals aged 9-70 years; Common dolphins (Delphinus delphis); blood; humans and dogs; people over 50 following test-confirmed non-hospitalized COVID-19), study design/evidence type (primary).", "type": "claim"}, {"id": "claim_7", "text": "The selected receipts group because each carries a fact-level extraction for epigenetic_clocks; they separate by context (other source context) and endpoint, so they are not interchangeable evidence for one pooled claim.", "type": "claim"}, {"id": "claim_8", "text": "The signal is purely descriptive of effect-direction heterogeneity; it cannot support even a weak causal or comparative-efficacy inference, and pooling across these PICOs would be inappropriate.", "type": "claim"}, {"comparator": "not extracted", "directness": "primary", "doi": "10.1002/ece3.72424", "effect": "not extracted", "endpoint": "not extracted", "id": "source_1", "intervention_or_exposure": "not extracted", "population": "not extracted", "risk_of_bias": "not appraised in public sidecar", "study": "Dental Ageing Offers New Insights Into the First Epigenetic Clock for Common Dolphins (Delphinus delphis).", "type": "source", "url": "https://doi.org/10.1002/ece3.72424", "year": 2025}, {"comparator": "not extracted", "directness": "primary", "doi": "10.1111/acel.14451", "effect": "not extracted", "endpoint": "not extracted", "id": "source_2", "intervention_or_exposure": "not extracted", "population": "not extracted", "risk_of_bias": "not appraised in public sidecar", "study": "Cross‐tissue comparison of epigenetic aging clocks in humans", "type": "source", "url": "https://doi.org/10.1111/acel.14451", "year": 2025}, {"comparator": "not extracted", "directness": "primary", "doi": "10.3389/fgene.2022.819749", "effect": "not extracted", "endpoint": "not extracted", "id": "source_3", "intervention_or_exposure": "not extracted", "population": "not extracted", "risk_of_bias": "not appraised in public sidecar", "study": "Longitudinal Study of DNA Methylation and Epigenetic Clocks Prior to and Following Test-Confirmed COVID-19 and mRNA Vaccination", "type": "source", "url": "https://doi.org/10.3389/fgene.2022.819749", "year": 2022}, {"comparator": "not extracted", "directness": "primary", "doi": "10.1073/pnas.2120887119", "effect": "not extracted", "endpoint": "not extracted", "id": "source_4", "intervention_or_exposure": "not extracted", "population": "not extracted", "risk_of_bias": "not appraised in public sidecar", "study": "DNA methylation clocks for dogs and humans", "type": "source", "url": "https://doi.org/10.1073/pnas.2120887119", "year": 2022}, {"comparator": "not extracted", "directness": "primary", "doi": "10.1002/advs.202505922", "effect": "not extracted", "endpoint": "not extracted", "id": "source_5", "intervention_or_exposure": "not extracted", "population": "not extracted", "risk_of_bias": "not appraised in public sidecar", "study": "Variations in Innate Immune Cell Subtypes Correlate with Epigenetic Clocks, Inflammaging and Health Outcomes.", "type": "source", "url": "https://doi.org/10.1002/advs.202505922", "year": 2025}], "publication_id": "89420d0f-7abc-427a-abec-7fc47b625264", "screening": {"excluded": 0, "exclusion_reasons": ["No PRISMA full-text exclusion-stage filter was applied."], "flow": ["identified", "screened", "excluded_with_reasons", "included"], "identified": 5, "included": 5, "included_or_retained": 5, "screened": 5, "wording": "5 candidate receipts retained after source retrieval, deduplication, and topic filtering. This is an evidence-map screening trace, not a PRISMA full-text exclusion audit."}}

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