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Record W2954698314

Prise en Charge d’une Hypertension Artérielle Maligne en Grossesse à l’Hôpital Gynéco-Obstétrique et Pédiatrique de Yaoundé. À Propos d’un Cas

2019· article· fr· W2954698314 on OpenAlexaff
Esther Ngo Um Meka, Armand Kamga Talom, JS Dohbit, L Amenguele, Pascal Foumane, Jacqueline Ze Minkandé

Bibliographic record

VenueHealth sciences and disease · 2019
Typearticle
Languagefr
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsMedicineGynecologyPreeclampsiaPregnancy
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT Severe hypertension in pregnancy is a medical emergency. It’s responsible for polymorphic maternal and fetal complications. The authors report a case of malignant hypertension with superimposed preeclampsia in a 26 years old patient. She was admitted in the intensive care unit at 23 weeks and she was operated of a cesarean section at 37 weeks with a favorable outcome. Their purpose is to explain it’s clinical, therapeutic and prognosis particularities. This case reveals us early diagnosis and management of malignant hypertension in pregnancy can prevent the onset of visceral damage, death of patient and or her fetus. RESUME L’hypertension arterielle (HTA) severe pendant la grossesse est une urgence medicale responsable de complications materno-fœtales, polymorphes. Les auteurs rapportent le cas d’une HTA maligne avec preeclampsie surajoutee chez une patiente âgee de 26 ans. Elle a ete hospitalisee a 23 semaines d’amenorrhees (SA) en service de reanimation, puis operee d’une cesarienne a 37 SA, avec issue favorable. Leur but est d’exposer ses particularites cliniques, therapeutiques et pronostiques. Ce cas nous revele que, la prise en charge rapide de l’HTA maligne en grossesse peut permettre d’eviter les atteintes viscerales, le deces de la patiente et ou du fœtus.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.297
Teacher spread0.278 · 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.

Study designObservational
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
Published2019
Admission routes1
Has abstractyes

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