{"id":"0334f674-2fd6-579e-b3f1-d8a65c223d01","stable_key":"e13b03e1-a614-543a-ac1b-97df18cfe30d:iron-ferritin-inflammation","predicate":"inflammation_changes","statement":"Adjusting ferritin for inflammation increased estimated depleted-store prevalence by 7–25 median percentage points in children and 2–8 points in women, depending on the method.","claim_class":"observational","status":"source_derived_draft","evidence_grade":"ungraded","direction":"context_dependent","is_public":true,"mechanism_event_id":"b3f65138-c8ae-58df-ae37-919d99bbbd91","mechanism_event_label":"A seemingly reassuring ferritin result can be influenced by inflammation; this study analyzed populations rather than diagnosing individuals.","subject":{"id":"9b302959-20f9-5764-9635-793e8435e278","slug":"serum-ferritin-concentration","display_name":"Serum ferritin concentration","entity_type_key":"cellular_process"},"object":{"id":"041a047d-de4f-5812-9317-2f2573808d18","slug":"estimated-depleted-iron-prevalence","display_name":"Population estimate of depleted iron stores","entity_type_key":"cellular_process"},"evidence_count":1,"mechanism_event":{"id":"b3f65138-c8ae-58df-ae37-919d99bbbd91","stable_key":"e13b03e1-a614-543a-ac1b-97df18cfe30d:iron-ferritin-inflammation-event","event_type":"observed_intervention","label":"A seemingly reassuring ferritin result can be influenced by inflammation; this study analyzed populations rather than diagnosing individuals.","description":"Adjusting ferritin for inflammation increased estimated depleted-store prevalence by 7–25 median percentage points in children and 2–8 points in women, depending on the method.","status":"provisional","compartment":null,"participants":[{"entity":{"id":"9b302959-20f9-5764-9635-793e8435e278","slug":"serum-ferritin-concentration","display_name":"Serum ferritin concentration","entity_type_key":"cellular_process"},"role":"subject","stoichiometry":null,"state_label":"","sequence_order":0,"notes":""},{"entity":{"id":"041a047d-de4f-5812-9317-2f2573808d18","slug":"estimated-depleted-iron-prevalence","display_name":"Population estimate of depleted iron stores","entity_type_key":"cellular_process"},"role":"target","stoichiometry":null,"state_label":"","sequence_order":1,"notes":""}]},"contexts":[{"dimension":"availability_state","value_text":"biomarker_context","comparator":null,"unit":null,"notes":"Imported condition classification; unverified.","entity":null},{"dimension":"evidence_span","value_text":"{\"source_cache\": \"artifacts/iron-research/28615259.abstract.txt\", \"locator\": \"Exact primary indexed abstract; zero-based, end-exclusive Unicode character offsets\", \"file_sha256\": \"482315ae02220062888b95687924e871f354ca9edb9fda6303c415799ce9cd4e\", \"start_char\": 0, \"end_char\": 2373, \"text_sha256\": \"482315ae02220062888b95687924e871f354ca9edb9fda6303c415799ce9cd4e\"}","comparator":null,"unit":null,"notes":"","entity":null},{"dimension":"experimental_model","value_text":"Cross-sectional analysis of population surveys","comparator":null,"unit":null,"notes":"","entity":null},{"dimension":"exposure","value_text":"Inflammation-adjustment comparisons in BRINDA surveys","comparator":null,"unit":null,"notes":"","entity":null},{"dimension":"limitations","value_text":"Population prevalence estimation; the correction methods are not an individual diagnostic formula.","comparator":null,"unit":null,"notes":"","entity":null},{"dimension":"nutrient_topic","value_text":"Iron research collection; topical membership is not evidence of a direct dietary effect.","comparator":null,"unit":null,"notes":"","entity":{"slug":"iron","display_name":"Iron","entity_type_key":"nutrient_element"}},{"dimension":"organism","value_text":"27865 preschool children and 24844 women of reproductive age","comparator":null,"unit":null,"notes":"","entity":null},{"dimension":"plain_language","value_text":"A seemingly reassuring ferritin result can be influenced by inflammation; this study analyzed populations rather than diagnosing individuals.","comparator":null,"unit":null,"notes":"","entity":null},{"dimension":"primary_references","value_text":"[iron-p28615259] Adjusting ferritin concentrations for inflammation: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project. (2017). https://pubmed.ncbi.nlm.nih.gov/28615259/ DOI: 10.3945/ajcn.116.141762","comparator":null,"unit":null,"notes":"","entity":null},{"dimension":"tissue_or_cell_type","value_text":"Ferritin, CRP and alpha-1-acid glycoprotein","comparator":null,"unit":null,"notes":"","entity":null},{"dimension":"trigger_kind","value_text":"biomarker_context","comparator":null,"unit":null,"notes":"Imported condition classification; unverified.","entity":null}],"evidence":[{"id":"527def9c-1649-5b33-9482-3f96d4785132","evidence_kind":"source_excerpt","locator":"Lines 1330-1341","start_line":1330,"end_line":1341,"excerpt":"### iron-ferritin-inflammation\nAdjusting ferritin for inflammation increased estimated depleted-store prevalence by 7–25 median percentage points in children and 2–8 points in women, depending on the method.\nCondition category: biomarker_context\nnutrient_topic: Iron research collection; topical membership is not evidence of a direct dietary effect.\nplain_language: A seemingly reassuring ferritin result can be influenced by inflammation; this study analyzed populations rather than diagnosing individuals.\norganism: 27865 preschool children and 24844 women of reproductive age\ntissue_or_cell_type: Ferritin, CRP and alpha-1-acid glycoprotein\nexperimental_model: Cross-sectional analysis of population surveys\nlimitations: Population prevalence estimation; the correction methods are not an individual diagnostic formula.\nexposure: Inflammation-adjustment comparisons in BRINDA surveys\nevidence_span: {\"source_cache\": \"artifacts/iron-research/28615259.abstract.txt\", \"locator\": \"Exact primary indexed abstract; zero-based, end-exclusive Unicode character offsets\", \"file_sha256\": \"482315ae02220062888b95687924e871f354ca9edb9fda6303c415799ce9cd4e\", \"start_char\": 0, \"end_char\": 2373, \"text_sha256\": \"482315ae02220062888b95687924e871f354ca9edb9fda6303c415799ce9cd4e\"}\n[iron-p28615259] Adjusting ferritin concentrations for inflammation: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project. (2017). https://pubmed.ncbi.nlm.nih.gov/28615259/ DOI: 10.3945/ajcn.116.141762","model_system":"Cross-sectional analysis of population surveys","directness":"author_interpretation","verification_status":"source_derived_draft","notes":"Exact curation-document quotation, not publisher quotation. Study references: [iron-p28615259] Adjusting ferritin concentrations for inflammation: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project. (2017). https://pubmed.ncbi.nlm.nih.gov/28615259/ DOI: 10.3945/ajcn.116.141762","relationship":"supports","weight":1.0,"link_notes":"","source":{"id":"1560864c-91d1-58dc-90c4-49bf61aba3de","stable_key":"import-e13b03e1-a614-543a-ac1b-97df18cfe30d","title":"Iron: absorption, trafficking, iron-dependent enzymes and nutrient interactions (2026-09-17)","document_type":"imported_text","citation_label":"AI-assisted literature curation; primary study URLs and scope retained in the document and extraction. Not publisher full text.","file_path":"","sha256":"f9dab767a21c9bbfef3227707fe3c82953536bb1335599dd4ef93b5ea2dbf03f","revision_id":"77700d7f-2902-54b9-adae-8cbc77b24682","review_status":"unverified_draft","notes":""}}],"relations":[],"conflicts":[],"corrections":[],"research":null}