Development of a soil cadmium bioaccessibility prediction model for human health risk assessment.

Jianghao Cao, Jie Xiong, Chaoyan Zhang, Ying Zhao, Xiaoxin Guo, Yimin Sang, Heming Wang, Youya Zhou

Abstract read

In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–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

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

8 authors.

Jianghao CaoTechnical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China.

Jie XiongTechnical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China.

Chaoyan ZhangTechnical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China.

Ying ZhaoTechnical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China.

Xiaoxin GuoTechnical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China.

Yimin SangSchool of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China.

Heming WangCollege of Chemical Engineering and Environment, State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, China.

Youya ZhouTechnical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil cadmium (Cd) contamination threatens human health, especially in industrial regions. Conventional risk assessments rely on total metal concentrations while neglecting bioaccessibility and exposure parameter uncertainty, potentially biasing estimates. This study compiled 195 datasets of soil properties and Cd bioaccessibility across China. Correlation analysis and random forest modeling were employed to identify key factors and develop predictive models for bioaccessible Cd content. Total Cd content was the dominant determinant, with soil pH, sand fraction, and iron content exerting additional effects. The random forest model exhibited excellent performance (test set coefficient of determination [R

Indexed as

Environmental scienceModeling in soil scienceSoil science

Identifiers

PMID42164866

DOI10.1016/j.isci.2026.115679

PMCPMC13186039

What OpenQuestion holds

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LicenceCC BY

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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.