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Record W2982915062 · doi:10.1111/mcn.12895

Maternal folic acid supplementation and infant birthweight in low‐ and middle‐income countries: A systematic review

2019· review· en· W2982915062 on OpenAlexafffund
Hannah Jonker, Noa Capelle, Andrea Lanes, Shi Wu Wen, Mark Walker, Daniel J. Corsi

Bibliographic record

VenueMaternal and Child Nutrition · 2019
Typereview
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of OttawaMcMaster UniversityCARE CanadaMcMaster University Medical CentreOttawa Hospital
FundersCanadian Institutes of Health Research
KeywordsMedicineOdds ratioPregnancyGestational ageRandomized controlled trialSmall for gestational ageConfidence intervalIncidence (geometry)Folic acidObstetricsMeta-analysisPediatricsCohort studyInternal medicine

Abstract

fetched live from OpenAlex

The relationship between maternal folic acid supplementation in pregnancy and infant birthweight has not been well described in low- and middle-income countries. We conducted a systematic review and meta-analysis of the current evidence of the association between folic acid supplementation in pregnancy on three primary outcomes: the incidence of low birthweight, small for gestational age, and mean birthweight. Seventeen studies were identified, which satisfied the inclusion criteria, covering a total of 275,421 women from 13 cohort studies and four randomized controlled trials. For the primary outcome of mean birthweight (n = 9), the pooled mean difference between folic acid and control groups was 0.37 kg (95% confidence interval [CI]: 0.24 to 0.50), and this effect was larger in the randomized controlled trials (0.56, 95% CI: 0.15 to 0.97, n = 3). The pooled odds ratio was 0.59 for low birthweight (95% CI: 0.47 to 0.74, n = 10) among folic acid supplementation versus control. The pooled odds ratio for the association with small for gestational age was 0.63 (95% CI: 0.39 to 1.01, n = 5). Maternal folic acid supplementation in low- and middle-income countries was associated with an increased mean birthweight of infants and decreases in the incidence of low birthweight and small for gestational age.

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)0.000
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: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.025
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
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 head0.019
GPT teacher head0.310
Teacher spread0.291 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations31
Published2019
Admission routes2
Has abstractyes

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