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Record W2905692575 · doi:10.21037/cdt.2018.10.16

Improving medical care and prevention in adults with congenital heart disease—reflections on a global problem—part II: infective endocarditis, pulmonary hypertension, pulmonary arterial hypertension and aortopathy

2018· review· en· W2905692575 on OpenAlexaff
Rhoia Neidenbach, Koichiro Niwa, O Oto, Erwin Oechslin, Jamil Aboulhosn, David S. Celermajer, Jörg Schelling, Lars Pieper, Linda Sanftenberg, Renate Oberhoffer, F. de Haan, Michael Weyand, Stephan Achenbach, Christian Schlensak, Dirk Loßnitzer, Nicole Nagdyman, Yskert Von Kodolitsch, Hans-Carlo Kallfelz, David Pittrow, Ulrike Bauer, Peter Ewert, Thomas Meinertz, Harald Kaemmerer

Bibliographic record

VenueCardiovascular Diagnosis and Therapy · 2018
Typereview
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsToronto General HospitalUniversity of TorontoUniversity Health Network
FundersActelion PharmaceuticalsDeutsche Herzstiftung
KeywordsMedicinePulmonary hypertensionHeart diseaseIntensive care medicineInfective endocarditisDiseaseInternal medicineCardiologyEndocarditisPediatrics

Abstract

fetched live from OpenAlex

Despite relevant residua and sequels, follow-up care of adults with congenital heart disease (ACHD) is too often not performed by/in specialized and/or certified physicians or centers although major problems in the long-term course may develop. The most relevant encompass heart failure, cardiac arrhythmias, heart valve disorders, pulmonary vascular disease, infective endocarditis (IE), aortopathy and non-cardiac comorbidities. The present publication emphasizes current data on IE, pulmonary and pulmonary arterial hypertension and aortopathy in ACHD and underlines the deep need of an experienced follow-up care by specialized and/or certified physicians or centers, as treatment regimens from acquired heart disease can not be necessarily transmitted to CHD. Moreover, the need of primary and secondary medical prevention becomes increasingly important in order to reduce the burden of disease as well as the socioeconomic burden and costs in this particular patient group.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.027
GPT teacher head0.285
Teacher spread0.259 · 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 designNot applicable
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

Citations21
Published2018
Admission routes1
Has abstractyes

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