Evidence map›Paper›PMID 38834314›Full record

ArticleBMJ open2024

Association between magnesium depletion score and chronic obstructive pulmonary disease risk: a secondary data analysis from NHANES.

Kai Jin Wang, Hong Chen, Jin Wang, Yang Wang

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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

4 authors.

Kai Jin Wang *Pulmonary and Critical Care Medicine, Bishan Hospital of Chongqing Medical University, Chongqing, China.
Hong Chen *Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University Yubei Hospital(Chongqing Yubei District People's Hospital), Chongqing, China.
Jin WangPulmonary and Critical Care Medicine, The People's Hospital of Chongqing Liangjiang New Area, Chongqing, China.
Yang WangPulmonary and Critical Care Medicine, The People's Hospital of Chongqing Liangjiang New Area, Chongqing, China yang_wang@hhu.edu.cn.ORCID 0000-0002-1622-0724

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe association between magnesium depletion score (MDS) and the risk of chronic obstructive pulmonary disease (COPD) has not been examined to date. Meanwhile, the potential impact of dietary magnesium intake on this association remains unclear. This study aimed to investigate the influence of dietary magnesium intake on the association between MDS and COPD incidence.

methodsIn this cross-sectional study using the National Health and Nutrition Examination Survey database, we analysed the relationship between MDS and COPD, while also exploring the role of dietary magnesium.

resultsA total of 39 852 participants, including 1762 patients with COPD and 38 090 patients with non-COPD, were included in the analysis. After adjusting for confounding factors, our results demonstrated a significant association between higher MDS and increased COPD incidence (OR=1.48, 95% CI: 1.10 to 1.99). Furthermore, it was observed that dietary magnesium intake did not significantly impact this association.

conclusionThis study highlights a significant positive correlation between MDS and the incidence of COPD. Nonetheless, no significant alteration in this association was observed with dietary magnesium intake.

Indexed as

MagnesiumMagnesium DeficiencyNutrition SurveysPulmonary Disease, Chronic ObstructiveAdultAgedCross-Sectional StudiesDietFemaleHumansIncidenceMaleMiddle AgedRisk FactorsSecondary Data AnalysisUnited StatesMagnesiumchronic diseasecross-sectional studiespulmonary disease

Identifiers

PMID38834314
PMCPMC11163619

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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.