Evidence map›Paper›PMID 33061742›Full record

ReviewPediatric health, medicine and therapeutics2020

The Relationship Between the Level of Copper, Lead, Mercury and Autism Disorders: A Meta-Analysis.

Hamed Jafari Mohammadabadi, Aryoobarzan Rahmatian, Fatemeh Sayehmiri, Mohammad Rafiei

Open access · goldAbstract readReview
In one paragraph

Review in Pediatric health, medicine and therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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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 at 4 institutions in 1 country.

Hamed Jafari Mohammadabadi *School of Medicine, Shiraz University of Medical Sciences, Shiraz, Fars, Iran.
Aryoobarzan Rahmatian *Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Fatemeh SayehmiriStudent Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad RafieiDepartment of Biostatistics and Epidemiology, Arak University of Medical Sciences, Arak, Iran.ORCID 0000-0001-7042-6654
Arak University of Medical Sciences · IRMedical University of Ilam · IRShahid Beheshti University of Medical Sciences · IRShiraz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThere is a likelihood of a possible relationship between the concentrations of copper, lead, and mercury and autism. The present review was carried out to determine the relationship between the concentrations of these elements and autism by meta-analysis.

methodsIn this study, searching Scopus, PubMed, and Science Direct databases, 18 articles conducted in different countries from 1982 to 2019 were collected. Studies' heterogeneity was investigated using the I

resultsIn these 18 studies, 1797 patients (981 cases and 816 controls) aged 2 to 16 years were examined. Concentration of the samples (blood, hair, and nails) for both case and control groups was evaluated. There was no significant relationship between copper concentration and autism (SMD (95% CI): 0.02 (-1.16,1.20); I

conclusionThere is, nevertheless, a significant relationship between mercury concentration and autism. Thus, the concentration of mercury can be listed as a pathogenic cause (disease-causing) for autism.

Indexed as

autismcopperleadmercurymeta-analysis

Identifiers

PMID33061742
PMCPMC7519826
OpenAlexW3087428649

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.