Evidence map›Paper›PMID 42639459›Full record

ArticleFrontiers in veterinary science2026

Impacts of heavy metal-contaminated feed on growing goats: nutrient digestibility, metal absorption, tissue accumulation, meat quality, and carcass characteristics.

Ahmed M Abd Ei Tawab, Shaoxun Tang, Min Gao, Chunyu Jiang, Zhixiong He, Chuanshe Zhou, Zhiliang Tan, Xuefeng Han, Yong-Bin Liu

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 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

9 authors.

Ahmed M Abd Ei Tawab *State Key Laboratory of Forage Breeding-by-Design and Utilization, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, and Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China.
Shaoxun Tang *State Key Laboratory of Forage Breeding-by-Design and Utilization, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, and Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China.
Min GaoInner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, China.
Chunyu JiangKey Laboratory of Animal Husbandry Science and Technology of Xinjiang Production and Construction Corps, College of Animal Science, Tarim University, Xinjiang, China.
Zhixiong HeState Key Laboratory of Forage Breeding-by-Design and Utilization, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, and Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China.
Chuanshe ZhouState Key Laboratory of Forage Breeding-by-Design and Utilization, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, and Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China.
Zhiliang TanState Key Laboratory of Forage Breeding-by-Design and Utilization, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, and Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China.
Xuefeng HanState Key Laboratory of Forage Breeding-by-Design and Utilization, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, and Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China.
Yong-Bin LiuDepartment of Animal Genetics, Breeding, and Reproduction, College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In areas affected by heavy metal contamination, the potential transfer of these metals from feed into animal products during digestion is a major concern. Methods: Twenty-four Xiangdong black male goats were equally assigned to three experimental groups (8 goats per group) using a completely randomized design for 60 days. The experimental groups were formulated by incorporating Paddy A, B, and C (containing low [LHM], medium [MHM], and high [HHM] levels of heavy metals, respectively) at 33% of the total diet. Results: The results revealed a nonsignificant decrease ( Conclusion: This study demonstrates that, under the current experimental conditions, incorporating paddy cultivated in soils contaminated with heavy metals into Xiangdong black male goat diets for short periods (60 days), without adverse effects on productive performance or health status, and the resulting animal products remained safe for human consumption. However, long-term studies involving different animal species under diverse climatic conditions are required to validate these findings before considering any practical application in livestock production systems.

Indexed as

carcass characteristicsdigestibilitygoatsheavy metalsmeat quality

Identifiers

PMID42639459
PMCPMC13501972

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.