Evidence map›Paper›PMID 32483597›Full record

SynthesisNutrition reviews2021

Magnesium levels in relation to rates of preterm birth: a systematic review and meta-analysis of ecological, observational, and interventional studies.

Yijia Zhang, Pengcheng Xun, Cheng Chen, Liping Lu, Michael Shechter, Andrea Rosanoff, Ka He

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nutrition reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Yijia ZhangDepartment of Epidemiology and Biostatistics, School of Public Health-Bloomington, Indiana University, Bloomington, Indiana, USA.
Pengcheng XunDepartment of Epidemiology and Biostatistics, School of Public Health-Bloomington, Indiana University, Bloomington, Indiana, USA.
Cheng ChenDepartment of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, New York, USA.
Liping LuDepartment of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, New York, USA.
Michael ShechterOlga & Lev Leviev Heart Center, Chaim Sheba Medical Center at Tel HaShomer, Ramat Gan, Israel; and the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Andrea RosanoffCenter for Magnesium Education & Research LLC, Pahoa, Hawaii, USA.
Ka HeDepartment of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, New York, USA.
Columbia University Irving Medical Center · USIndiana University Bloomington · USTel Aviv University · IL

Funding

Early Age-of-Onset AD: Clinical Heterogeneity and Network DegenerationR01AG045611 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RABINOVICI, GIL DAN · 2014 to 2018
$3.1M
Trace mineral levels, the trajectory of cognitive decline and telomere attritionRF1AG056111 · NIA · TRUSTEES OF INDIANA UNIVERSITY · PI KAHE, KA · 2017 to 2017
$3.1M
Trace mineral levels, metabolomics, and diabetes riskR01DK116603 · NIDDK · TRUSTEES OF INDIANA UNIVERSITY · PI KAHE, KA · 2018 to 2019
$1.5M
NIA NIH HHS R01 AG045611NIA NIH HHS RF1 AG056111NIDDK NIH HHS R01 DK116603
6 · The paper itself

Abstract

contextExperimental studies suggest that magnesium levels in pregnant women may affect the length of gestation, as magnesium affects the activity of smooth muscle in the uterus. Little is known about the association between magnesium levels or supplementation and the rate of preterm birth.

objectiveThe aim of this systematic review was to summarize the data on magnesium soil levels and preterm birth rates from ecological, observational, and interventional studies. DATA SOURCES: Soil magnesium levels were obtained from US Geological Survey data, and preterm birth rates were acquired from the March of Dimes Foundation. Relevant epidemiological and clinical studies published until April 2019 in peer-reviewed journals were retrieved from PubMed, Google Scholar, and related reference lists. STUDY SELECTION: Original studies published in English, conducted in humans, and in which magnesium (dietary/supplemental intake or biomarkers) was an exposure and preterm birth was an outcome were included. DATA EXTRACTION: Eleven studies were included in the systematic review. Meta-analysis was performed on 6 studies. Overall relative risk (RR) and corresponding 95%CIs for risk of preterm birth in relation to magnesium supplementation were estimated by a random-effects model.

resultsThe ecological study revealed an inverse correlation between magnesium content in soil and rates of preterm birth across the United States (r = -0.68; P < 0.001). Findings from 11 observational studies generally support an inverse association between serum magnesium levels and rates of preterm birth. Of the 6 eligible randomized controlled trials, which included 3068 pregnant women aged 20 to 35 years and 352 preterm infants, the pooled RR was 0.58 (95%CI, 0.35-0.96) for women in the magnesium supplementation group compared with women in the control group.

conclusionsAccumulated evidence from ecological, observational, and interventional studies consistently indicates that adequate magnesium intake during pregnancy may help reduce the incidence of preterm birth.

Indexed as

AdultDietary SupplementsFemaleHumansInfant, NewbornInfant, PrematureMagnesiumObservational Studies as TopicPregnancyPremature BirthSoilYoung AdultMagnesiumSoilmagnesium supplementationpreterm birthserum magnesiumsoil magnesium

Identifiers

PMID32483597
PMCPMC8453627
OpenAlexW3029966594

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.