Evidence map›Paper›PMID 39417861›Full record

ArticleJournal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry2024

Development and validation of an ICP-MS method and its application in assessing heavy metals in whole blood samples among occupationally exposed lead smelting plant workers.

Kuldip Upadhyay, Ankit Viramgami, Rakesh Balachandar, Ankit Sheth, P Sivaperumal

Abstract readValidation Study
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In one paragraph

Article in Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kuldip UpadhyayICMR-National Institute of Occupational Health, Near Raksha Shakti University, Meghaninagar, Ahmedabad, 380016, Gujarat, India. upadhyay.kul@icmr.gov.in.ORCID 0000-0002-0416-1923
Ankit ViramgamiICMR-National Institute of Occupational Health, Near Raksha Shakti University, Meghaninagar, Ahmedabad, 380016, Gujarat, India.
Rakesh BalachandarICMR-National Institute of Occupational Health, Near Raksha Shakti University, Meghaninagar, Ahmedabad, 380016, Gujarat, India.
Ankit ShethICMR-National Institute of Occupational Health, Near Raksha Shakti University, Meghaninagar, Ahmedabad, 380016, Gujarat, India.
P SivaperumalICMR-National Institute of Occupational Health, Near Raksha Shakti University, Meghaninagar, Ahmedabad, 380016, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Occupational exposure to heavy metals affects various organ systems and poses a significant health risk to workers. Consequently, its precise estimation is of clinical concern and warrants the need for an analytical method with reliable precision and accuracy. The current study aimed to develop an analytical method using inductively coupled plasma‒mass spectrometry (ICP-MS) to detect trace to elevated levels of potentially toxic elements in human blood. The sample preparation was optimized using a two-step ramp temperature microwave acid digestion program. The toxic elements were quantified using ICP-MS operating in kinetic energy discrimination (KED) mode, adjusting the data acquisition parameters and instrumental settings. The analytical method was validated using standard performance parameters. Each validation parameter was aligned with the acceptable criteria outlined in standard guidelines. The method achieved optimal linearity (r

Indexed as

LeadMass SpectrometryMetals, HeavyOccupational ExposureAdultHumansMaleMetallurgyMiddle AgedLeadMetals, HeavyAnalytical methodClinical assessmentHeavy metalsOccupational exposureTrace level detectionWhole blood

Identifiers

PMID39417861

What OpenQuestion holds

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Registered trials

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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.