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Record W2013181940 · doi:10.4021/jcgo.v1i1.2

High Body Mass Index in Pregnancy, Its Effects on Maternal and Fetal Outcome

2012· article· en· W2013181940 on OpenAlexvenueno aff
Venkata Sujatha Vellanki, Venkata Lakshmi Narasimha Sharma Kocherlakota, Rajesh Kaul

Bibliographic record

VenueJournal of Clinical Gynecology and Obstetrics · 2012
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineObstetricsPregnancyBody mass indexGestational diabetesCaesarean sectionOdds ratioObstetrics and gynaecologyConfidence intervalObesityEclampsiaGestationGynecologyInternal medicine

Abstract

fetched live from OpenAlex

Background : To examine the maternal and foetal risks of adverse pregnancy outcome in obese women (BMI > 30). Methods : This study is a prospective non randomized descriptive study conducted in the Department of Obstetrics and Gynaecology of KIMS in Narketpally from April 2007 to April 2009, 100 women with high BMI were compared with 100 women with normal BMI with regard to ante-natal complications, intervention in labour, maternal morbidity and neonatal outcome. Results: Compared to women with normal BMI, the following outcomes were significantly more common in obese pregnant women (odds ratio (95% confidence interval)) for BMI > 30 gestational diabetes mellitus (4.8 (1.01 - 3.02)); pre-eclampsia ( 2.52 (1.04 - 6.11 )) ; macrosomia ( 13.8 (3.1 - 60.57)) ; caesarean section ( 3.45 (1.65 - 7.15)) and infections ( 1.7 (0.39 - 7.32)). Conclusions: This study points out a strong association between maternal morbid obesity in early pregnancy and a number of threatening complications during pregnancy, delivery, and in the neonatal period. doi:10.4021/jcgo2w

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)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.049
GPT teacher head0.389
Teacher spread0.340 · 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

Citations10
Published2012
Admission routes1
Has abstractyes

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