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{ "kind": "infographic", "prompt": "Synthesis: An Evidence Scorecard for Addiction Neuroscience figure 8", "provider": "other", "raw_fields": { "papers": [ { "n": 6, "doi": "10.3390/ph18101513", "value": "52 ± 0.5", "metric": "Cytokine level or microglial activation marker", "cite_key": "Mende2025", "text_access": "fulltext", "study_system": "rat", "value_source_sentence": "Behavioral Measurements The tail-flick analgesia assay was performed using hot-water immersion at 52 ± 0.5 °C before and after a 5-day morphine infusion." }, { "n": null, "doi": "10.1016/j.addicn.2024.100194", "value": "4 pa", "metric": "Cytokine level or microglial activation marker", "cite_key": "Melkumyan2025", "text_access": "fulltext", "study_system": "review", "value_source_sentence": "Downstream signaling factors in the TLR4 pathway may also be involved in alcohol effects in the CeA." }, { "n": 17, "doi": "10.1126/sciadv.adu5874", "value": "P = 0.0049", "metric": "Cytokine level or microglial activation marker", "cite_key": "Xiao2026", "text_access": "fulltext", "study_system": "rat", "value_source_sentence": "However, the age at seizure onset was older in the post–COVID-19 nonactive TLE group compared to the active group ( P = 0.0049)." }, { "n": null, "doi": "10.3389/fimmu.2025.1671578", "value": "13 pa", "metric": "Cytokine level or microglial activation marker", "cite_key": "Han2025", "text_access": "fulltext", "study_system": "rat", "value_source_sentence": "Rank Keyword Counts Rank Keyword Counts 1 inflammation 710 11 vagus nerve 134 2 neuroinflammation 495 12 cytokine 131 3 microglia 402 13 pain 129 4 cytokines 325 14 multiple sclerosis 114 5 cholinergic anti-inflammatory pathway" }, { "n": 14, "doi": "10.3390/ijms27041670", "value": "p = 0.020", "metric": "Cytokine level or microglial activation marker", "cite_key": "Lorkiewicz2026", "text_access": "fulltext", "study_system": "rat", "value_source_sentence": "Additionally, the type of viral infection was significantly associated only with depression severity at Stage 2, as assessed by the HADS ( p = 0.020)." }, { "n": 727, "doi": "10.3389/fimmu.2025.1645991", "value": "727 pa", "metric": "Cytokine level or microglial activation marker", "cite_key": "Yu2025", "text_access": "fulltext", "study_system": "rat", "value_source_sentence": "Subsequent research, including a multicenter cohort study involving 1,727 participants, demonstrated a strong interaction between chronic depressive symptoms and elevated inflammation levels ( 59 – 61 )." }, { "n": 37, "doi": "10.1038/s41398-026-03907-9", "value": "p = 0.042", "metric": "Cytokine level or microglial activation marker", "cite_key": "Petit2026", "text_access": "fulltext", "study_system": "human", "value_source_sentence": "116, p = 0.042)." }, { "n": 61, "doi": "10.3390/brainsci14050435", "value": "2 mg/kg", "metric": "Cytokine level or microglial activation marker", "cite_key": "Nagy2024", "text_access": "fulltext", "study_system": "rat", "value_source_sentence": "During the first 3 days of postsurgical care, rats were administered meloxicam (2 mg/kg s." } ], "n_definition": "Variable across studies", "scope_region": "Multiple brain regions", "comparison_id": "fig_sec3_neuroimmune_evidence_strength", "source_cluster": 2, "comparison_type": "evidence_strength_assessment", "scope_population": "Microglia, astrocytes, neurons", "homogeneity_check": { "caveats": [ "Highly heterogeneous measures: cytokine levels, microglial morphology, TLR4 expression", "Mix of brain regions, drug types, and exposure paradigms", "This figure assesses evidence strength rather than comparing magnitudes", "Designed as Type D summary figure highlighting thin evidence base" ], "comparable": false }, "suggested_plot_type": "evidence_scorecard" }, "section_id": "section_12_evidence", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewAddiction/blob/43d33061a22aa4fed3f7dc71fabbfa48ab1d6f48/evidence/section_12_evidence.json", "target_ref": "wiki_page:computationalreviewaddiction-12", "review_repo": "ComputationalReviewAddiction", "section_ref": "wiki_page:computationalreviewaddiction-12", "source_path": "evidence/section_12_evidence.json", "source_refs": [ "paper:paper-1da3c24ee8b6", "paper:paper-4c732f11accf", "paper:paper-73f762a2eb7f", "paper:paper-8c24a940bbcd", "paper:paper-9c2625e6f47a", "paper:paper-dae656716b81", "paper:paper-f70b36d7f0f5", "paper:paper-fb7aabb25ac1" ], "section_title": "Synthesis: An Evidence Scorecard for Addiction Neuroscience", "source_policy": { "mode": "public_source_pointer_with_short_context", "notes": [ "Local review repositories are read-only inputs.", "SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; 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