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Record W2021613862 · doi:10.1039/c1mt00082a

Disorders associated with systemic or local iron overload: from pathophysiology to clinical practice

2011· review· en· W2021613862 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMetallomics · 2011
Typereview
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsMcGill UniversityJewish General Hospital
FundersCanadian Institutes of Health Research
KeywordsHepcidinHemochromatosisSiderosisHereditary hemochromatosisIneffective erythropoiesisPathophysiologyMedicineHemosiderosisPathologicalIron homeostasisIron deficiencyPhysiologyErythropoiesisInternal medicineAnemiaEndocrinologyMetabolism

Abstract

fetched live from OpenAlex

In healthy subjects, the rate of dietary iron absorption, as well as the amount and distribution of body iron are tightly controlled by hepcidin, the iron regulatory hormone. Disruption of systemic iron homeostasis leads to pathological conditions, ranging from anemias caused by iron deficiency or defective iron traffic, to iron overload (hemochromatosis). Other iron-related disorders are caused by misregulation of cellular iron metabolism, which results in local accumulation of the metal in mitochondria. Brain iron overload is observed in neurodegenerative disorders. Secondary hemochromatosis develops as a complication of another disease. For example, repeated blood transfusions, a standard treatment of various anemias characterized by ineffective erythropoiesis, promote transfusional siderosis, while chronic liver diseases are often associated with mild to moderate secondary iron overload. In this critical review, we discuss pathophysiological and clinical aspects of all types of iron metabolism disorders (265 references).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.364
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it