Evidence map›Paper›PMID 28274800›Full record

ArticleNeurotoxicology2018

A screening tool to detect clinical manganese neurotoxicity.

Brad A Racette, Anat Gross, Susan R Criswell, Harvey Checkoway, Susan Searles Nielsen

Abstract read
In one paragraph

Article in Neurotoxicology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 3 institutions in 2 countries.

Brad A RacetteDepartment of Neurology, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, 27 St. Andrews Road, Parktown 2193, South Africa. Electronic address: racetteb@wustl.edu.
Anat GrossDepartment of Neurology, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.
Susan R CriswellDepartment of Neurology, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.
Harvey CheckowayUniversity of California, San Diego, Department of Family Medicine and Public Health, Department of Neurosciences, La Jolla, CA, USA.
Susan Searles NielsenDepartment of Neurology, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO 63110, USA.
Washington University in St. Louis · USUniversity of California, San Diego · USUniversity of the Witwatersrand · ZA

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
WILDLIFE BIOMARKER APPLICATIONS TO REMEDIATION DECISION MAKINGP42ES004696 · NIEHS · UNIVERSITY OF WASHINGTON · PI NEUMANN, REBECCA B · 1987 to 2021
$51.2M
Washington University Institute of Clinical and Translational Sciences (UL1)UL1RR024992 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$45.4M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Infectious Diseases/Basic Microbial Pathogenic MechanismsT32AI007172 · NIAID · WASHINGTON UNIVERSITY · PI Daniel E. Goldberg, JENNIFER A PHILIPS · 1985 to 2026
$13.0M
Imaging Biomarkers of Neurotoxicity in WeldersR01ES021488 · NIEHS · WASHINGTON UNIVERSITY · PI Brad A Racette · 2013 to 2026
$5.3M
Epidemiology of Parkinsonism in WeldersR01ES013743 · NIEHS · WASHINGTON UNIVERSITY · PI RACETTE, BRAD A · 2007 to 2011
$2.6M
Epidemiology and Biomarkers of Parkinsonism in WeldersK24ES017765 · NIEHS · WASHINGTON UNIVERSITY · PI RACETTE, BRAD A · 2009 to 2018
$1.5M
RESTING STATE FUNCTIONAL CONNECTIVITY MRI IN MANGANESE EXPOSED WELDERSK23ES021444 · NIEHS · WASHINGTON UNIVERSITY · PI CRISWELL, SUSAN · 2012 to 2016
$809k
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NCRR NIH HHS UL1 RR024992NIAID NIH HHS T32 AI007172NIEHS NIH HHS K23 ES021444NIEHS NIH HHS K24 ES017765NIEHS NIH HHS P42 ES004696NIEHS NIH HHS R01 ES013743NIEHS NIH HHS R01 ES021488
6 · The paper itself

Abstract

Manganese (Mn) over-exposure in occupational settings is associated with basal ganglia toxicity and a movement disorder characterized by parkinsonism (i.e., the signs and symptoms of Parkinson disease). A simple test to help non-neurologists identify workers with clinical Mn neurotoxicity represents an unmet need. In a cohort of Mn-exposed workers from welding worksites, with extensive clinical data, we developed a linear regression model to predict the Unified Parkinson Disease Rating Scale motor subsection part 3 (UPDRS3) score. We primarily considered factors easily obtained in a primary care or occupational medicine clinic, specifically easily assessed signs of parkinsonism and factors likely to be associated with UPDRS3 such as age, timed motor task results, and selected symptoms/conditions. Secondarily we considered other demographic variables and welding exposure. We based the model on 596 examined workers age≤65years and with timed motor task data. We selected the model based on simplicity for clinical application, biologic plausibility, and statistical significance and magnitude of regression coefficients. The model contained age, timed motor task scores for each hand, and indicators of action tremor, speech difficulty, anxiety, depression, loneliness, pain and current cigarette smoking. When we examined how well the model identified workers with clinically significant parkinsonism (UPDRS3≥15) the receiver operating characteristic area under the curve (AUC) was 0.72 (95% confidence interval [CI] 0.67, 0.77). With a cut point that provided 80% sensitivity, specificity was 52%, the positive predictive value in our cohort was 29%, and the negative predictive value was 92%. Using the same cut point for predicted UPDRS3, the AUC was nearly identical for UPDRS3≥10, and was 0.83 (95% CI 0.76, 0.90) for UPDRS3≥20. Since welding exposure data was not required after including its putative effects, this model may help identify workers with clinically significant Mn neurotoxicity in a variety of settings, as a first step in a tiered occupational screening program.

Indexed as

Occupational ExposureAdultFemaleHumansMaleManganese PoisoningMiddle AgedOccupational DiseasesParkinsonian DisordersROC CurveManganeseParkinsonismPredictive modelWelding

Identifiers

PMID28274800
PMCPMC5587364
OpenAlexW2592094318

What OpenQuestion holds

Textmetadata
LicenceTDM
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.