Evidence map›Paper›PMID 27438348›Full record

ReviewArchives of toxicology2017

WHO/UNEP global surveys of PCDDs, PCDFs, PCBs and DDTs in human milk and benefit-risk evaluation of breastfeeding.

Martin van den Berg, Karin Kypke, Alexander Kotz, Angelika Tritscher, Seoung Yong Lee, Katarina Magulova, Heidelore Fiedler, Rainer Malisch

Open access · hybridAbstract readReview
In one paragraph

Review in Archives of toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 3 pooled it
15.0field-weighted citation impact, top 1% 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

55 citing papers in PubMed, 3 syntheses or guidelines pooled it, 255 citations in OpenAlex.

  1. Pooled it
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  3. The impact of environmental pollution on the quality of mother's milk.Environmental science and pollution research international · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 3 countries.

Martin van den BergInstitute for Risk Assessment Sciences (IRAS), Utrecht University, P.O. Box 80177, 3508 TD, Utrecht, The Netherlands. m.vandenberg@uu.nl.ORCID http://orcid.org/0000-0001-6239-6301
Karin KypkeWHO/UNEP Reference Laboratory, State Institute for Chemical and Veterinary Analysis of Food (CVUA), Bissierstrasse 5, 79114, Freiburg, Germany.
Alexander KotzWHO/UNEP Reference Laboratory, State Institute for Chemical and Veterinary Analysis of Food (CVUA), Bissierstrasse 5, 79114, Freiburg, Germany.
Angelika TritscherDepartment of Food Safety and Zoonoses, World Health Organization, Ave Appia 20, 1211, Geneva 27, Switzerland.
Seoung Yong LeeDepartment of Food Safety and Zoonoses, World Health Organization, Ave Appia 20, 1211, Geneva 27, Switzerland.
Katarina MagulovaStockholm Convention Secretariat, United Nations Environment Programme (UNEP), International Environment House, 1219, Châtelaine, Geneva, Switzerland.
Heidelore FiedlerDivision of Technology, Industry and Economics/Chemical Branch, United Nations Environment Programme (UNEP), Chemin des Anémones 11-13, 1219, Châtelaine, Geneva, Switzerland.
Rainer MalischWHO/UNEP Reference Laboratory, State Institute for Chemical and Veterinary Analysis of Food (CVUA), Bissierstrasse 5, 79114, Freiburg, Germany.
Chemisches und Veterinäruntersuchungsamt Karlsruhe · DEJoint United Nations Programme on HIV/AIDS · CHWorld Health Organization · CHUtrecht University · NL

Funding

World Health Organization 001
6 · The paper itself

Abstract

Since 1987, the World Health Organization (WHO) carried out global surveys on polychlorinated dibenzo-p-dioxins (PCDDs), polychlorinated dibenzofurans (PCDFs) and polychlorinated biphenyls (PCBs) in human milk. This study presents a review of the three most recent surveys from 2000 to 2010, including DDT. The objective was to identify global quantitative differences and provide baseline information for 52 countries or provide time-trends for countries with previous data. Individual human milk samples were collected following a WHO-designed procedure and combined to form a national pooled sample. Here, we report global levels for PCDDs, PCDFs, PCBs and the sum of o,p'-DDT, p,p'-DDT, o,p'-DDE, p,p'-DDE, o,p'-DDD and p,p'-DDD (ΣDDTs). A concise risk-benefit evaluation related to human milk contamination with these persistent organic pollutants (POPs) was also done. Large global and regional differences were observed. Levels of PCDDs and PCDFs were highest in India and some European and African countries. PCB levels were highest in East and West Europe. The highest levels of ΣDDTs were found in less industrialized countries. A temporal downward trend for PCDDs, PCDFs and PCBs is indicated. A risk-benefit assessment indicates that human milk levels of PCDDs, PCDFs and PCBs are still significantly above those considered toxicologically safe, while ΣDDTs are below or around those considered safe. With respect to potential adverse health effects, a more dominant role of in utero exposure versus lactational exposure is indicated. If potential adverse effects are balanced against positive health aspects for (breastfed) infants, the advantages of breastfeeding far outweigh the possible disadvantages. Our observations provide a strong argument to plea for further global source-directed measures to reduce human exposure further to dioxin-like compounds.

Indexed as

Food ContaminationGlobal HealthBiotransformationBreast FeedingDDTDibenzofurans, PolychlorinatedDioxinsEnvironmental HealthHealth SurveysHumansMilk, HumanPesticide ResiduesPolychlorinated BiphenylsPolychlorinated DibenzodioxinsRisk AssessmentUnited NationsDDTDibenzofurans, PolychlorinatedDioxinsPesticide ResiduesPolychlorinated BiphenylsPolychlorinated DibenzodioxinsBenefit–riskBreastfeedingDDTDioxinsHuman milkPCBs

Identifiers

PMID27438348
PMCPMC5225187
OpenAlexW2502672822

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.