Evidence map›Paper›PMID 39129053›Full record

ArticleBiological trace element research2025

Health Risk Assessment of Toxic Metal(loids) Consumed Through Plant-Based Anti-diabetic Therapeutics Collected in the Northern Divisional City of Rajshahi, Bangladesh.

Nazmul Islam, Rausan Zamir, Omar Faruque

Abstract read
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Article in Biological trace element research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  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

3 authors.

Nazmul IslamDepartment of Textile Engineering, Daffodil International University, Dhaka, Bangladesh. nazmul.acce.26@gmail.com.
Rausan ZamirDepartment of Chemistry, University of Rajshahi, Rajshahi, Bangladesh.
Omar FaruqueDepartment of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, Bangladesh.

Funding

International Science Program, Uppsala University, Sweden BAN-05
6 · The paper itself

Abstract

The present study investigates human health risks upon consumption of herbal medicines in terms of ten toxic metalloids in 20 plant-based anti-diabetic therapeutics. The analysis of metalloids was determined by an atomic absorption spectrometer after microwave-assisted digestion. The computation of hazard quotients (HQ) and hazard indexes (HI) of metalloids leads to the assessment of non-carcinogenic health risks. Carcinogenic risk was assessed based on cancer slope factor (CSF) and chronic daily intake (CDI) values. Comparison with WHO regulatory cut-off points for each metalloid: seven samples for Mn, 12 samples for Hg, three samples for Cu, eight samples for Ni, four samples for Cd, two samples for Pb, one sample for Cr, and eight samples for Zn are unsafe to consume. Non-carcinogenic human health risk is predicted for Mn in seven samples, Fe in one sample, Hg in ten samples, Cu in three samples, Ni in one sample, and Pb in two samples. HI values greater than 1 predict non-carcinogenic health risk in thirteen samples. Incremental lifetime cancer risk (ILCR) remains for As (inorganic) in 12 samples, Cr (+ 6) in one sample, and Pb in no samples. To guarantee consumer safety, the implementation of strict monitoring is suggested.

Indexed as

Hypoglycemic AgentsMetalloidsMetals, HeavyBangladeshHumansRisk AssessmentSpectrophotometry, AtomicHypoglycemic AgentsMetalloidsMetals, HeavyCarcinogenic and non-carcinogenic risksHazard indexHazard quotientIncremental lifetime cancer riskPlant-based anti-diabetic therapeutics

Identifiers

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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.