Evidence map›Paper›PMID 24849799›Full record

ArticleJournal of exposure science & environmental epidemiology2014

Effects of lead exposure on the status of platelet indices in workers involved in a lead-acid battery manufacturing plant.

Tapu Barman, Ravibabu Kalahasthi, H R Rajmohan

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2014. 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
1.5field-weighted citation impact, top 17% 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, 52 citations in OpenAlex.

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  9. Assessment of Bone Turnover Biomarkers in Lead-Battery Workers with Long-Term Exposure to Lead.The international journal of occupational and environmental medicine · 2020
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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.

Tapu BarmanRegional Occupational Health Centre (southern), Biochemistry, ICMR, Bangalore, India.
Ravibabu KalahasthiRegional Occupational Health Centre (southern), Biochemistry, ICMR, Bangalore, India.
H R RajmohanRegional Occupational Health Centre (southern), Biochemistry, ICMR, Bangalore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was carried out to determine the effect of Pb exposure on the status of platelet indices in workers exposed to Pb during lead-acid battery plant process. Platelet indices and blood lead levels (BLLs) were determined in 429 male workers. BLLs were determined by using an atomic absorption spectrophotometer. Platelet indices in the samples were quantified by using the Sysmex KX-21 hematology analyzer. The levels of platelet count (PLT), plateletcrit (PCT) and mean platelet mass (MPM) were significantly decreased and platelet distribution width (PDW), platelet large cell ratio (P-LCR) and mean platelet volume were increased with an increase in BLLs. The results of linear multiple regression analysis showed that the platelet count (β -0.143, P=0.005), PCT (β -0.115, P=0.023) and MPM (β -0.110, P=0.030) were negatively associated with BLLs and P-LCR (β 0.122, P=0.016) was positively associated with BLLs. The variable of body mass index showed a positive association with PCT (β 0.105, P=0.032) and MPM (β 0.101, P=0.039). The results of the study may indicate that lead exposure may impair coagulation function through endothelial tissue injury and reduction of nitric oxide.

Indexed as

AdultAlcohol DrinkingBlood PlateletsBody Mass IndexCross-Sectional StudiesHumansIndiaLeadLinear ModelsMaleManufacturing IndustryOccupational ExposurePlatelet CountRisk FactorsSmokingSpectrophotometry, AtomicLead

Identifiers

PMID24849799
OpenAlexW2038013142

What OpenQuestion holds

Textmetadata
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.