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Record W4402568287 · doi:10.1177/1753495x241275847

Does having a patient attend a postpartum vascular risk reduction clinic improve physician knowledge and management of preeclampsia as a cardiovascular risk factor?

2024· article· en· W4402568287 on OpenAlexafffundabout
Jaslyn Rasmuson, Winnie Sia

Bibliographic record

VenueObstetric Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsUniversity of Alberta
FundersUniversity of AlbertaWomen and Children's Health Research InstituteChildren's Health Research Institute
KeywordsMedicinePreeclampsiaRisk factorFamily medicinePregnancyObstetricsInternal medicine

Abstract

fetched live from OpenAlex

Background: Preeclampsia is an independent risk factor for vascular diseases. The Postpartum Preeclampsia Clinic (PPPC) intervenes in the first year postpartum to address these risks. This study aims to characterize physicians' understanding and management of the cardiovascular risk associated with preeclampsia and whether this differs in physicians who had a patient attend the PPPC. Methods: Family physicians, obstetricians, internists, obstetric internists, and cardiologists in Edmonton were anonymously surveyed. Results were analyzed using SPSS. Results: Sixty-four surveys were returned, with physicians correctly identifying preeclampsia as a vascular risk factor 73% of the time. Physicians who had a patient attend the PPPC were more likely to counsel patients on their increased cardiovascular risk, although increased knowledge did not reach statistical significance. Conclusion: Vascular risk reduction clinics may benefit the long-term management of patients with a history of preeclampsia by improving counseling by physicians, which may reduce the disproportionate vascular morbidity these patients face.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.947
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.272
Teacher spread0.256 · 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 designOther design
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

Citations0
Published2024
Admission routes3
Has abstractyes

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