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Record W2029669172 · doi:10.1172/jci14205

Linking a serotonin transporter polymorphism to vascular smoothmuscle proliferation in patients with primary pulmonary hypertension

2001· review· en· W2029669172 on OpenAlexaff
Marlene Rabinovitch

Bibliographic record

VenueJournal of Clinical Investigation · 2001
Typereview
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsHospital for Sick ChildrenSickKids FoundationUniversity of Toronto
Fundersnot available
KeywordsBMPR2Pulmonary hypertensionBone morphogenetic protein receptorSerotonin transporterBone morphogenetic proteinPathophysiologyMedicineDiseaseGenetic disorderBioinformaticsReceptorHeart diseaseEndocrinologyInternal medicineSerotoninBiologyGeneticsGene

Abstract

fetched live from OpenAlex

Recent genetic studies in patients with familial and sporadic primary pulmonary hypertension (PPH) have provided new opportunities to address the pathophysiologic mechanisms of this disease (1, 2). This past year, mutations in the bone morphogenetic protein receptor 2 (BMPR2) gene have been identified in even a higher proportion of individuals than was first appreciated (3). In addition, mutations associated with impaired signaling through other members of the TGF-β receptor family have also been uncovered (4). How aberrant processing of these signals is related to the cellular mechanisms previously described in patients with pulmonary hypertension remains to be completely elucidated. In addition, we need to understand how other kinds of stimuli, such as inflammatory disorders associated with collagen vascular disease, mechanical forces related to congenital heart defects, and serotonin analogs like the appetite suppressant dexfenfluoramine, initiate cellular abnormalities that lead to severe progressive pulmonary hypertension.

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: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.099
GPT teacher head0.362
Teacher spread0.263 · 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 designObservational
Domainnot available
GenreReview

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

Citations34
Published2001
Admission routes1
Has abstractyes

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