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Record W2415600085

Relationship between hypermagnesaemia in preterm labour and adverse health outcomes in babies.

2002· article· en· W2415600085 on OpenAlexaff
Robert Mittendorf, Peter G. Pryde, Ronald J. Elin, John G. Gianopoulos, Kwang‐Sun Lee

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldNursing
TopicMagnesium in Health and Disease
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsMagnesiumMedicineAdverse effectRandomized controlled trialPreterm labourPediatricsIntraventricular hemorrhageClinical trialEmergency medicineObstetricsIntensive care medicinePregnancyGestationSurgeryInternal medicineGestational age
DOInot available

Abstract

fetched live from OpenAlex

The Magnesium and Neurologic Endpoints Trial (the so-called MagNET Trial) was a randomized clinical trial that was undertaken to establish whether the antenatal usage of magnesium sulphate could protect neonates from having adverse neurologic outcomes. Unfortunately, the trial was suspended after 15 months of enrolment because of excess total paediatric mortality among those exposed to magnesium sulphate. Following our original report and contrary to the original hypotheses, additional analyses of our data have actually shown a statistically significant increase in the risk of neonatal intraventricular hemorrhage, as well as total adverse paediatric outcomes, among those with higher levels of ionized magnesium at delivery. Nonetheless, it has been postulated, but not established, that anions of magnesium other than sulphate could have a more benign, or even beneficial, effect on health outcomes in the neonate.

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)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.061
GPT teacher head0.283
Teacher spread0.223 · 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 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
Published2002
Admission routes1
Has abstractyes

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