Evidence map›Paper›PMID 34564669›Full record

ArticleToxins2021

Adsorbents Reduce Aflatoxin M

Manqian Cha, Erdan Wang, Yangyi Hao, Shoukun Ji, Shuai Huang, Lihong Zhao, Wei Wang, Wei Shao, Yajing Wang, Shengli Li

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Toxins, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Evaluation of a sequestrant used to reduce aflatoxin MBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
    Article
  5. Review
  6. Review
  7. Effect of oral administration ofOpen veterinary journal · 2025
    Article
  8. Article
  9. Review
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

10 authors.

Manqian ChaCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0000-0003-3007-1603
Erdan WangState Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Yangyi HaoState Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-7160-3103
Shoukun JiCollege of Animal Science, Hebei Agricultural University, Baoding 071000, China.
Shuai HuangState Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Lihong ZhaoState Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Wei WangState Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Wei ShaoCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
Yajing WangState Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Shengli LiCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the effect of moderate risk level (8 µg/kg) AFB

Indexed as

Risk AssessmentAdolescentAdultAflatoxin B1Age FactorsAnimal FeedAnimalsCattleChildChild, PreschoolChinaDrug ResiduesFemaleHumansLactationMaleAflatoxin B1adsorbentsaflatoxin B1aflatoxin M1dairy cowsexposure risk assessmentmoderate risk leveltransfer rate

Identifiers

PMID34564669
PMCPMC8470591

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.