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Record W4410100679 · doi:10.1002/jimd.70031

Consensus of Expert Opinion for the Diagnosis and Management of Hypermanganesaemia With Dystonia 1 and 2

2025· article· en· W4410100679 on OpenAlexaff
Sherry Fang, Peter T. Clayton, Divyani Garg, Sangeetha Yoganathan, Maha S. Zaki, Elin A. Helgadottir, Vala Palmadottir, Maude Landry, Sidney M. Gospe, Kshitij Mankad, Vincenzo Bonifati, Suvasini Sharma, Karin Tuschl

Bibliographic record

VenueJournal of Inherited Metabolic Disease · 2025
Typearticle
Languageen
FieldNursing
TopicTrace Elements in Health
Canadian institutionsHorizon Health NetworkMoncton Hospital
FundersMedical Research FoundationMedical Research CouncilStichting ParkinsonFonds
KeywordsDystoniaMedicinePathognomonicBasal gangliaParkinsonismNeurologyPathologyDiseaseInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Hypermanganesaemia with Dystonia 1 and 2 (HMNDYT1 and 2) are inherited, autosomal recessive disorders caused by pathogenic variants in the genes encoding the manganese transporters SLC30A10 and SLC39A14, respectively. Impaired hepatic and enterocytic manganese uptake (SLC39A14) and excretion (SLC30A10) lead to deposition of manganese in the basal ganglia resulting in childhood-onset dystonia-parkinsonism. HMNDYT1 is characterized by additional features due to manganese accumulation in the liver causing cirrhosis, polycythaemia, and depleted iron stores. High blood manganese levels and pathognomonic MRI brain appearances of manganese deposition resulting in T1 hyperintensity of the basal ganglia are diagnostic clues. Treatment is limited to chelation therapy and iron supplementation that can prevent disease progression. Due to their rarity, the awareness of the inherited manganese transporter defects is limited. Here, we provide consensus expert recommendations for the diagnosis and treatment of patients with HMNDYT1 and 2 in order to facilitate early diagnosis and optimize clinical outcome. These recommendations were developed through an evidence and consensus-based process led by a group of 13 international experts across the disciplines of metabolic medicine, neurology, hematology, genetics, and radiology, and address the clinical presentation, diagnostic investigations, principles of treatment, and monitoring of patients with HMNDYT1 and 2.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.632
Threshold uncertainty score0.291

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.339
Teacher spread0.312 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2025
Admission routes1
Has abstractyes

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