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Record W2548513978 · doi:10.1111/hdi.12506

Pulmonary artery hypertension in methylmalonic acidemia

2016· article· en· W2548513978 on OpenAlexvenueno aff
Jun Kido, Hiroshi Mitsubuchi, Mina Sakanashi, Junichi Matsubara, Shirou Matsumoto, Rieko Sakamoto, Fumio Endo, Kimitoshi Nakamura

Bibliographic record

VenueHemodialysis International · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsnot available
FundersJapan Agency for Medical Research and Development
KeywordsMedicineMethylmalonic acidemiaCardiologyHemodialysisPulmonary hypertensionInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

Methylmalonic acidemia (MMA) is an autosomal recessive disorder that can be classified into two types: (1) vitamin B12-responsive and (2) vitamin B12-non-responsive. In MMA cases with long-term survival, renal failure is often a problem, and timing for kidney transplantation for MMA is controversial. We encountered a vitamin B12-non-responsive MMA case for which regular hemodialysis for renal failure was initiated; the patient was 16 years old when she first received regular hemodialysis and 35 years old when she developed pulmonary artery hypertension (PAH). PAH can complicate regular hemodialysis; however, PAH in this case was considered to be a complication of MMA because it was responsive to medical treatment and reversible. In this report, we discuss the role of regular hemodialysis in MMA and the causal relationship between MMA and regular hemodialysis for PAH.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.241
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations10
Published2016
Admission routes1
Has abstractyes

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