Evidence map›Paper›PMID 28806179›Full record

ReviewCurrent opinion in clinical nutrition and metabolic care2017

Interpreting magnesium status to enhance clinical care: key indicators.

Rebecca B Costello, Forrest Nielsen

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in clinical nutrition and metabolic care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Rebecca B CostelloaOffice of Dietary Supplements, National Institutes of Health, Bethesda, Maryland bResearch Nutritionist Consultant, Grand Forks, North Dakota, USA.
Forrest Nielsen
Grand Forks Human Nutrition Research Center · USNational Institutes of Health · US

Funding

Intramural NIH HHS Z99 OD999999
6 · The paper itself

Abstract

purpose of reviewTo update advances in identifying factors affecting magnesium (Mg) status that assist in providing improved evidence-based clinical decision-making for assessing Mg status. RECENT

findingsFindings from recent cohort studies, small randomized control trials, and multiple meta-analyses reinforce earlier work that serum Mg concentrations, urinary Mg excretion, and Mg dietary intakes are inversely associated with cardiovascular disease, chronic kidney disease, and diabetes. These studies indicate that the reference range for serum Mg needs updating, and that individuals with serum Mg in the range of 0.75-0.85 mmol/l and displaying changes in other factors associated with a low Mg status may be Mg deficient. Individuals with serum Mg concentrations below this range most likely are Mg deficient and, above this range, are most likely Mg sufficient. SUMMARY: The combined determination of serum Mg concentration, 24-h urinary Mg excretion, and dietary Mg intake is currently the most practical method to obtain a sound assessment of Mg status. The strong correlations of Mg deficiency with increased risk of several chronic diseases, some of which exist as comorbidities, indicate that Mg status should be ascertained in patients presenting such disorder.

Indexed as

Cardiovascular DiseasesClinical Decision-MakingDiabetes MellitusDietary SupplementsEvidence-Based MedicineHumansMagnesiumMagnesium DeficiencyMeta-Analysis as TopicRandomized Controlled Trials as TopicRenal Insufficiency, ChronicMagnesium

Identifiers

PMID28806179
PMCPMC5812344
OpenAlexW2749081636

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.