Evidence map›Paper›PMID 36275050›Full record

SynthesisFrontiers in pediatrics2022

Exposure to heavy metals and red blood cell parameters in children: A systematic review of observational studies.

Carolina Capitão, Raquel Martins, Osvaldo Santos, Manuel Bicho, Tamás Szigeti, Andromachi Katsonouri, Beatrice Bocca, Flavia Ruggieri, Wojciech Wasowicz, Hanna Tolonen and 1 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 40 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

11 authors at 6 institutions in 6 countries.

Carolina CapitãoEnvironmental Health Behaviour Lab, Instituto de Saúde Ambiental, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
Raquel MartinsEnvironmental Health Behaviour Lab, Instituto de Saúde Ambiental, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
Osvaldo SantosEnvironmental Health Behaviour Lab, Instituto de Saúde Ambiental, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
Manuel BichoLaboratório Associado TERRA, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
Tamás SzigetiNational Public Health Center, Budapest, Hungary.
Andromachi KatsonouriState General Laboratory, Ministry of Health, Nicosia, Cyprus.
Beatrice BoccaDepartment of Environment and Health, Istituto Superiore di Sanità, Rome, Italy.
Flavia RuggieriDepartment of Environment and Health, Istituto Superiore di Sanità, Rome, Italy.
Wojciech WasowiczNofer Institute of Occupational Medicine, Lodz, Poland.
Hanna TolonenDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland.
Ana VirgolinoEnvironmental Health Behaviour Lab, Instituto de Saúde Ambiental, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
University of Lisbon · PTIstituto Superiore di Sanità · ITFinnish Institute for Health and Welfare · FIMinistry of Health · CYNational Public Health and Medical Officer Service · HUNofer Institute of Occupational Medicine · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mechanistic studies show that heavy metals interfere with the hematopoietic system by inhibiting key enzymes, which could lead to anemia. However, the link between children's exposure and red blood cell (RBC) parameters has been inconsistent. We aimed to summarize evidence on human studies exploring the association between exposure to lead, mercury, cadmium, arsenic, and chromium VI and RBC parameters in children. Methods: Following the PRISMA guidelines, we searched PubMed, Scopus, and Web of Science databases for studies published between January 2010 and April 2022. Eligible papers included human observational studies that directly assessed exposure (internal dose) to the heavy metals under study and RBC parameters in participants aged ≤ 18 years. We excluded studies using hospital-based samples. Study quality was assessed using the National Institutes of Health's Quality Assessment Tools for Cohort and Cross-Sectional Studies. We synthesized the evidence using vote counting based on the direction of the relationship. Results: Out of 6,652 retrieved papers, we included a total of 38 (33 assessing lead, four mercury, two cadmium, and two arsenic; chromium VI was not assessed in any included paper). More than half of the studies were conducted in Asia. We found evidence of a positive relationship between lead concentration and hemoglobin (proportion of studies reporting negative relationships = 0.750; 95% Confidence Interval (CI) 0.583, 0.874) and mean corpuscular hemoglobin (0.875; 95% CI 0.546, 0.986), and a positive relationship with red cell distribution width (0.000; 95%CI 0.000, 0.379). When considering only good-quality studies (24% of the Pb studies), only the relationship with hemoglobin levels remained (0.875; 95% CI: 0.546, 0.986). Conclusion: We found evidence of a negative relationship between lead concentration and hemoglobin and mean corpuscular hemoglobin and of a positive relationship with red cell distribution width in children. We also identified a need to conduct more studies in European countries. Future studies should use standardized practices and make efforts to increase study quality, namely by conducting comprehensive longitudinal studies. Our findings support the need to take further actions to limit heavy metal exposure during childhood.

Indexed as

biomonitoringchilderythrocyte indicesHBM4EUhematology

Identifiers

PMID36275050
PMCPMC9583003
OpenAlexW4302304939

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.