Evidence map›Paper›PMID 34047901›Full record

ArticleEnvironmental science and pollution research international2021

Lead concentrations in antlers of European roe deer (Capreolus capreolus) from an agricultural area in Northern Germany over a 119-year period-a historical biomonitoring study.

Catharina Ludolphy, Uwe Kierdorf, Horst Kierdorf

Open access · hybridAbstract read
In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Catharina LudolphyDepartment of Biology, University of Hildesheim, Universitätsplatz 1, 31141, Hildesheim, Germany.
Uwe KierdorfDepartment of Biology, University of Hildesheim, Universitätsplatz 1, 31141, Hildesheim, Germany.
Horst KierdorfDepartment of Biology, University of Hildesheim, Universitätsplatz 1, 31141, Hildesheim, Germany. kierdorf@uni-hildesheim.de.ORCID http://orcid.org/0000-0001-6411-9631
University of Hildesheim · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We analyzed the lead content in antlers of 90 adult European roe bucks (Capreolus capreolus) that had been culled between 1901 and 2019 in an agricultural-dominated hunting district in Lower Saxony (Northern Germany). Antler lead values ranged between 0.2 and 10.9 mg/kg dry weight. Median lead concentration was highest after World War II, during a period (1956-1984) of rapidly increasing mass motorization and use of leaded gasoline. Lead levels in antlers decreased markedly after the phase-out of leaded gasoline, but high values were still found in some recently collected antlers. This could indicate persistent lead pollution from former use of lead additives to gasoline, other traffic-related sources, or from agricultural sources (e.g., sewage sludge, fertilizers). This study highlights the suitability of analyzing roe deer antlers for the historical monitoring of changing lead levels in the environment. By collecting antlers and providing them for study, local hunters can significantly contribute to environmental surveillance and the monitoring of environmental pollution by bone-seeking contaminants.

Indexed as

AntlersDeerAnimalsBiological MonitoringFluoridesGermanyLeadFluoridesLeadBioindicationDeerEnvironmental pollutionGermanyHerbivoresLeaded gasoline

Identifiers

PMID34047901
PMCPMC8500883
OpenAlexW3164991275

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.