Evidence map›Paper›PMID 30889915›Full record

ReviewInternational journal of environmental research and public health2019

On the Use of Hair Analysis for Assessing Arsenic Intoxication.

Sidney A Katz

Open access · goldAbstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Biomonitoring of inorganic arsenic species in pregnancy.Journal of exposure science & environmental epidemiology · 2023
    Review
  7. A State-of-the-Science Review on Metal Biomarkers.Current environmental health reports · 2023
    Review
  8. Review
  9. As andEnvironmental science and pollution research international · 2022
    Review
  10. Article
  11. Three Primary Cancers in a Veteran With Agent Orange and Agent Blue Exposures.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2021
    Article
  12. Article
  13. Article
  14. 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

1 author at 1 institution in 1 country.

Sidney A KatzChemistry Faculty, Rutgers University, Camden, NJ 08102, USA. skatz@scarletmail.rutgers.edu.
Rutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Correlations between the concentrations of arsenic in scalp hair and in drinking water as well as in blood and/or urine have been reported. These correlations clearly show exposure⁻absorption⁻excretion relationships. In addition, arsenic metabolites such as monomethylarsonic acid and dimethylarsinic acid have been identified and quantified in these tissues and fluids, leaving little doubt that elevated levels of arsenic in the hair can reflect systemic arsenic intoxication. Consequently, hair analysis has potential merit as a screening procedure for poisoning by arsenic. However, questions regarding the exogenous versus the endogenous deposition of arsenic in the hair, and uncertainties about the normal level of arsenic in the hair remain unresolved. Pending their resolution, the determination of arsenic in hair should remain a screening tool, and clinical signs and symptoms should be employed to complete the diagnosis of arsenic poisoning.

Indexed as

ArsenicArsenic PoisoningCacodylic AcidDiagnostic Tests, RoutineDrinking WaterHairHumansArsenicCacodylic AcidDrinking WaterADMEarsenicarsenic intoxicationarsenic methylationhair analysis

Identifiers

PMID30889915
PMCPMC6466288
OpenAlexW2921677768

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.