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Record W3081219311 · doi:10.1161/strokeaha.120.029517

Beyond the Brain

2020· review· en· W3081219311 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

VenueStroke · 2020
Typereview
Languageen
FieldMedicine
TopicCerebrovascular and genetic disorders
Canadian institutionsNatural Sciences and Engineering Research Council of CanadaMcMaster University
FundersMedical Research CouncilNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsPhenotypeMedicineStroke (engine)GeneDiseaseBioinformaticsInternal medicinePathologyGeneticsBiology

Abstract

fetched live from OpenAlex

Background and Purpose: An important minority of cerebral small vessel disease (cSVD) is monogenic. Many monogenic cSVD genes are recognized to be associated with extracerebral phenotypes. We assessed the frequency of these phenotypes in existing literature. Methods: We performed a systematic review following the PRISMA guidelines (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), searching Medline/Embase for publications describing individuals with pathogenic variants in COL4A1/2 , TREX1 , HTRA1 , ADA2 , and CTSA genes (PROSPERO 74804). We included any publication reporting on ≥1 individual with a pathogenic variant and their clinically relevant phenotype. We extracted individuals’ characteristics and information about associated extracerebral phenotypes and stroke/transient ischemic attack. We noted any novel extracerebral phenotypes and looked for shared phenotypes between monogenic cSVDs. Results: After screening 6048 publications, we included 96 COL4A1 (350 individuals), 32 TREX1 (115 individuals), 43 HTRA1 (38 homozygous/61 heterozygous individuals), 16 COL4A2 (37 individuals), 119 ADA2 (209 individuals), and 3 CTSA (14 individuals) publications. The majority of individuals originated from Europe/North America, except for HTRA1 , where most were from Asia. Age varied widely, ADA2 individuals being youngest and heterozygous HTRA1/CTSA individuals oldest. Sex distribution appeared equal. Extracerebral phenotypes were common: 14% to 100% of individuals with a pathogenic variant manifested at least one extracerebral phenotype (14% COL4A2 , 43% HTRA1 heterozygotes, 47% COL4A1 , 57% TREX1 , 91% ADA2 , 94% HTRA1 homozygotes, and 100% CTSA individuals). Indeed, for 4 of 7 genes, an extracerebral phenotype was observed more frequently than stroke/transient ischemic attack. Ocular, renal, hepatic, muscle, and hematologic systems were each involved in more than one monogenic cSVD. Conclusions: Extracerebral phenotypes are common in monogenic cSVD with extracerebral system involvement shared between genes. However, inherent biases in the existing literature mean that further data from large-scale population-based longitudinal studies collecting health outcomes in a systematic unbiased way is warranted. The emerging knowledge will help to select patients for testing, inform clinical management, and provide further insights into the underlying mechanisms of cSVD.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.960
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0010.001

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 head0.023
GPT teacher head0.313
Teacher spread0.290 · 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