Evidence map›Paper›PMID 37308890›Full record

ArticleBMC public health2023

Patterns of global burden of 13 diseases attributable to lead exposure, 1990-2019.

Tongtong Xu, Kangqian Lin, Miao Cao, Xinlu Miao, Heng Guo, Dongsheng Rui, Yunhua Hu, Yizhong Yan

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 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

8 authors at 1 institution in 1 country.

Tongtong Xu *Department of Preventive Medicine, School of Medicine, Shihezi University, No. 59, North 2nd Rd, Hong-Shan District, Shihezi, 832003, Xinjiang, China.
Kangqian Lin *Department of Preventive Medicine, School of Medicine, Shihezi University, No. 59, North 2nd Rd, Hong-Shan District, Shihezi, 832003, Xinjiang, China.
Miao CaoDepartment of Preventive Medicine, School of Medicine, Shihezi University, No. 59, North 2nd Rd, Hong-Shan District, Shihezi, 832003, Xinjiang, China.
Xinlu MiaoDepartment of Preventive Medicine, School of Medicine, Shihezi University, No. 59, North 2nd Rd, Hong-Shan District, Shihezi, 832003, Xinjiang, China.
Heng GuoDepartment of Preventive Medicine, School of Medicine, Shihezi University, No. 59, North 2nd Rd, Hong-Shan District, Shihezi, 832003, Xinjiang, China.
Dongsheng RuiDepartment of Preventive Medicine, School of Medicine, Shihezi University, No. 59, North 2nd Rd, Hong-Shan District, Shihezi, 832003, Xinjiang, China.
Yunhua HuDepartment of Preventive Medicine, School of Medicine, Shihezi University, No. 59, North 2nd Rd, Hong-Shan District, Shihezi, 832003, Xinjiang, China. huyunhua1019@sina.com.ORCID 0000-0003-1957-5421
Yizhong YanDepartment of Preventive Medicine, School of Medicine, Shihezi University, No. 59, North 2nd Rd, Hong-Shan District, Shihezi, 832003, Xinjiang, China. erniu19880215@sina.com.ORCID 0000-0002-5537-5171
Shihezi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesUnderstanding the spatio-temporal patterns of the global burden of various diseases resulting from lead exposure is critical for controlling lead pollution and disease prevention.

methodsBased on the 2019 Global Burden of Disease (GBD) framework and methodology, the global, regional, and national burden of 13 level-three diseases attributable to lead exposure were analyzed by disease type, patient age and sex, and year of occurrence. Population attributable fraction (PAF), deaths and disability-adjusted life years (DALYs), age-standardized mortality rate (ASMR) and age-standardized DALYs rate (ASDR) obtained from the GBD 2019 database were used as descriptive indicators, and the average annual percentage change (AAPC) was estimated by a log-linear regression model to reflect the time trend. RESULTS AND

conclusionsFrom 1990 to 2019, the number of deaths and DALYs resulting from lead exposure increased by 70.19% and 35.26%, respectively; however, the ASMR and ASDR decreased by 20.66% and 29.23%, respectively. Ischemic heart disease (IHD), stroke, and hypertensive heart disease (HHD) showed the highest increases in deaths; IHD, stroke, and diabetes and kidney disease (DKD) had the fastest-growing DALYs. The fastest decline in ASMR and ASDR was seen in stroke, with AAPCs of -1.25 (95% CI [95% confidence interval]: -1.36, -1.14) and -1.66 (95% CI: -1.76, -1.57), respectively. High PAFs occurred mainly in South Asia, East Asia, the Middle East, and North Africa. Age-specific PAFs of DKD resulting from lead exposure were positively correlated with age, whereas the opposite was true for mental disorders (MD), with the burden of lead-induced MD concentrated in children aged 0-6 years. The AAPCs of ASMR and ASDR showed a strong negative correlation with the socio-demographic index. Our findings showed that the global impact of lead exposure and its burden increased from 1990 to 2019 and varied significantly according to age, sex, region, and resulting disease. Effective public health measures and policies should be adopted to prevent and control lead exposure.

Indexed as

LeadAfrica, NorthernAsia, EasternAsia, SouthernChildDatabases, FactualHumansLeadAttribution analysisEpidemiologyGlobal burdenLead exposure

Identifiers

PMID37308890
PMCPMC10262405
OpenAlexW4380354808

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.