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Record W4393378348 · doi:10.36106/gjra/4106572

COMPARISON OF INTRAVENOUS LABETALOL AND ORAL NIFEDIPINE IN ACUTE CONTROL OF SEVERE HYPERTENSION PREGNANCY

2024· article· en· W4393378348 on OpenAlexaff
Swapnil Madhavrao Mane, Dada Tukaram Sargar, Prakash Anna Aghav, Swati Dashrath Karad, Anup Kharde

Bibliographic record

VenueGLOBAL JOURNAL FOR RESEARCH ANALYSIS · 2024
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsASTER
Fundersnot available
KeywordsLabetalolNifedipineMedicinePregnancyAnesthesiaObstetricsInternal medicineBlood pressure

Abstract

fetched live from OpenAlex

Background Globally, hypertensive diseases account for 14% of maternal fatalities. The risk of maternal death increases when blood pressure is more than 160/110 mmHg. Method This prospective, randomized clinical trial was carried out with participation from the JJM Medical College, Bapuji Hospital, Chigateri General Hospital, and Women and Child Health Hospital, all of which are connected with Davanagere. Result This study contained 100 cases in total; the subjects were split into two groups according to the medications they received. Patients in groups A (labetalol) and B (nifedipine) had average ages of 24.47 and 23.07 years, respectively. 46% of the women in the labetalol group were primigravida, and 54% were multigravida; 38% of the women in the nifedipine group were primigravida, and 62% were multigravida. The average number of doses required to reach the desired blood pressure was 2.86 with labetalol and 1.66 with nifedipine. Conclusion According to our ndings, oral nifedipine is a better option—especially in low-resource settings—than intravenous labetalol for treating acute severe hypertension in pregnancy. It is also more cost-effective.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.348

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.081
GPT teacher head0.441
Teacher spread0.360 · 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 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
Published2024
Admission routes1
Has abstractyes

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Same venueGLOBAL JOURNAL FOR RESEARCH ANALYSISSame topicPregnancy and preeclampsia studiesFrench-language works237,207