Evidence map›Paper›PMID 32816137›Full record

ArticleBiological trace element research2021

The Effects of Metal Exposures on Charlson Comorbidity Index Using Zero-Inflated Negative Binomial Regression Model: NHANES 2011-2016.

Hantong Zhao, Yingan Pan, Changcong Wang, Yinpei Guo, Nan Yao, Han Wang, Bo Li

Abstract read
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In one paragraph

Article in Biological trace element research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

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  14. Empirical Dietary Patterns Associated with Food Insecurity in U.S. Cancer Survivors: NHANES 1999-2018.International journal of environmental research and public health · 2022
    Article
  15. Article
  16. 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

7 authors at 1 institution in 1 country.

Hantong ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, Changchun, 130021, People's Republic of China.
Yingan PanDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, Changchun, 130021, People's Republic of China.
Changcong WangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, Changchun, 130021, People's Republic of China.
Yinpei GuoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, Changchun, 130021, People's Republic of China.
Nan YaoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, Changchun, 130021, People's Republic of China.
Han WangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, Changchun, 130021, People's Republic of China.
Bo LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, Changchun, 130021, People's Republic of China. li_bo@jlu.edu.cn.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the rising incidence of chronic diseases, and the increase of aging population has led to multimorbidity a serious public health problem. The aim of this study was to explore the association between metal exposures and Charlson comorbidity index (CCI), which will provide valuable information for improving quality of life and reducing mortality.

methodsThe study sample consists of three continuous cycles (2011-2016) of the National Health and Nutrition Examination Survey (NHANES), and 4901 eligible subjects were included in the study. Zero-inflated negative binomial (ZINB) model was utilized to investigate the effects in metal exposures on CCI, which includes spot urine (arsenic, mercury, and cadmium), whole blood (manganese, selenium, and lead), and serum (copper and zinc).

resultsIn count part (CCI ≥ 0), holding other variables constant, the expected change in CCI for a one-unit increase in blood selenium is 0.997 (RR = 0.997, p = 0.017). In logit part (CCI = 0), the log odds of having CCI equals zero would increase by 0.659, 1.073, and 0.963 for every additional urinary cadmium (OR = 0.659, p = 0.007), blood lead (OR = 1.073, p = 0.023), blood manganese (OR = 0.963, p = 0.025), respectively.

conclusionsOur findings indicated that cadmium and manganese were likely to increase mortality. Inversely, selenium and lead might be positive on people's health. The findings may be extremely essential for preventing diseases and improving life quality.

Indexed as

MercuryQuality of LifeAgedComorbidityHumansMetalsNutrition SurveysMercuryMetalsCharlson comorbidity index (CCI)Metal exposuresMultimorbidityZero-inflated negative binomial (ZINB)

Identifiers

PMID32816137
OpenAlexW3080799991

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.