Derivation Web

source_2d7941a883b040d5

by researka:v2 · 2026-06-24 23:43:06.317214+04:00

{"content_hash": null, "edges": [{"from": "93653872-d78c-420f-b226-287abf988452", "to": "claim_1", "type": "contains_claim"}, {"from": "93653872-d78c-420f-b226-287abf988452", "to": "claim_2", "type": "contains_claim"}, {"from": "93653872-d78c-420f-b226-287abf988452", "to": "claim_3", "type": "contains_claim"}, {"from": "93653872-d78c-420f-b226-287abf988452", "to": "claim_4", "type": "contains_claim"}, {"from": "93653872-d78c-420f-b226-287abf988452", "to": "claim_5", "type": "contains_claim"}], "nodes": [{"id": "93653872-d78c-420f-b226-287abf988452", "title": "related_macular: one bounded, context-dependent signal across receipts", "type": "publication"}, {"id": "claim_1", "text": "Across retrieved fact-level receipts for related_macular, which endpoints show directionally favorable versus null/non-convergent signals, and what matched PICO remains untested?", "type": "claim"}, {"id": "claim_2", "text": "null/non-convergent or other/mixed: the extracted fact is null, mixed, or not directionally interpretable.", "type": "claim"}, {"id": "claim_3", "text": "Specific moderators in this bundle are outcome type (SSIM; balanced accuracy; classification accuracy; sensitivity and specificity), population/indication (16 fundus images from a clinical study (half with drusen); CF-ICGA pairs from a tertiary center; clinical-grade OCT images; fundus images across normal, intermediate AMD, geographic atrophy, and wet AMD categories; patients with dry age-related macular degeneration (AMD)), study design/evidence type (primary).", "type": "claim"}, {"id": "claim_4", "text": "The selected receipts group because each carries a fact-level extraction for related_macular; they separate by context (human clinical/observational and other source context) and endpoint, so they are not interchangeable evidence for one pooled claim.", "type": "claim"}, {"id": "claim_5", "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": "10.1364/boe.5.003568", "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": "Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images.", "type": "source", "url": "https://doi.org/10.1364/boe.5.003568", "year": 2014}, {"comparator": "not extracted", "directness": "primary", "doi": "10.1038/s41598-024-52131-2", "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": "A concentrated machine learning-based classification system for age-related macular degeneration (AMD) diagnosis using fundus images", "type": "source", "url": "https://doi.org/10.1038/s41598-024-52131-2", "year": 2024}, {"comparator": "not extracted", "directness": "primary", "doi": "10.1038/s41746-024-01018-7", "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": "Translating color fundus photography to indocyanine green angiography using deep-learning for age-related macular degeneration screening", "type": "source", "url": "https://doi.org/10.1038/s41746-024-01018-7", "year": 2024}, {"comparator": "not extracted", "directness": "primary", "doi": "10.1109/jsen.2020.2985131", "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": "Unsupervised Super-Resolution of OCT Images Using Generative Adversarial Network for Improved Age-Related Macular Degeneration Diagnosis", "type": "source", "url": "https://doi.org/10.1109/jsen.2020.2985131", "year": 2020}, {"comparator": "not extracted", "directness": "primary", "doi": "10.1109/iembs.2010.5627289", "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": "Towards automatic detection of age-related macular degeneration in retinal fundus images", "type": "source", "url": "https://doi.org/10.1109/iembs.2010.5627289", "year": 2010}], "publication_id": "93653872-d78c-420f-b226-287abf988452", "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."}}

{
  "researka_object_type": "publication_sidecar",
  "researka_publication_id": "93653872-d78c-420f-b226-287abf988452",
  "researka_submission_id": "8a01740f-51fc-4253-bcdf-86c4eb7c5b14",
  "sidecar_name": "claim_graph.json",
  "sidecar_url": "https://api.researka.org/publications/93653872-d78c-420f-b226-287abf988452/sidecars/claim_graph.json"
}