Evidence map›Paper›PMID 39090607›Full record

ArticleBMC pulmonary medicine2024

Significant association between methyl mercury level and latent tuberculosis infection risk: a cross-sectional study.

Hai-Bo Hua, Hui-Jie Wang

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. Article
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.

Hai-Bo HuaDepartment of tuberculosis, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, No. 208, East Huan Cheng Road, Gongshu District, Hangzhou, 310000, Zhejiang, China.
Hui-Jie WangDepartment of tuberculosis, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, No. 208, East Huan Cheng Road, Gongshu District, Hangzhou, 310000, Zhejiang, China. fuxiaoshenjian1@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis cross-sectional study aimed to explore the association between methyl mercury (MeHg) level and latent tuberculosis infection (LTBI) risk based on the data from National Health and Nutrition Examination Survey (NHANES 2011-2012).

methodsA total of 5243 participants with 20 variables were enrolled. The importance of these variables on TB infection was first ranked by XGBoost and Random Forest methods. Then the association between MeHg level and infection risk was evaluated by restricted cubic spline, threshold effect, and generalized linear regression analyses. We also explored the factors correlated with the difference in MeHg level and finally conducted a mediation analysis to assess the mediating effect of MeHg in LTBI.

results521 participants were experiencing the LTBI, and 12 variables showed the differences between infection and non-infection groups (all P < 0.05). Of them, MeHg presented the highest importance on the LTBI. Restricted cubic spline (RCS) next revealed a significant non-linear correlation of MeHg with LTBI (all P < 0.05). Adjusted regression models further indicated their independent association (all P < 0.05), and infection risk increased with the increase of MeHg (P for trend < 0.05). We also found a significant turning point, and their association was significantly observed when MeHg > 5.75 µg/L (P < 0.05). In addition, asthma history was related to the difference in MeHg levels between LTBI and non-LTBI groups. Mediation analysis found that MeHg level partially mediated the association of asthma and LTBI risk (all P < 0.05).

conclusionsOur study identified MeHg as an independent risk factor for LTBI risk. Their causal relationship needs more investigation to verify.

Indexed as

Latent TuberculosisMethylmercury CompoundsNutrition SurveysAdultAgedCross-Sectional StudiesFemaleHumansLinear ModelsMaleMediation AnalysisMiddle AgedRisk FactorsYoung AdultMethylmercury CompoundsAssociationMethyl mercuryNHANESTuberculosis

Identifiers

PMID39090607
PMCPMC11292858

What Socratic holds

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Registered trials

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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 Socratic graph.