Evidence map›Paper›PMID 39771102›Full record

ArticleToxics2024

Active Vitamin D Ameliorates Arsenite-Induced Thyroid Dysfunction in Sprague-Dawley Rats by Inhibiting the Toll-like Receptor 4/NF-KappaB-Mediated Inflammatory Response.

Hui Li, Jie Xiang, Qian Song, Ying Jin, Meitong Zhou, Lili Fan, Dapeng Wang

Abstract read
In one paragraph

Article in Toxics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Vitamin DFrontiers in immunology · 2026
    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

7 authors.

Hui LiKey Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang 561113, China.
Jie XiangKey Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang 561113, China.
Qian SongKey Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang 561113, China.
Ying JinKey Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang 561113, China.
Meitong ZhouKey Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang 561113, China.
Lili FanKey Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang 561113, China.
Dapeng WangKey Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang 561113, China.

Funding

Guizhou Provincial Science and Technology Projects [2020] No. 4Y153; [2019] No. 1264National Natural Science Foundation of China 82060604the Excellent Young Talents Plan of Guizhou Medical University [2023] No. 103the Outstanding Young Scientific and Technological Talent Projects of Guizhou Province [2021] No. 5611
6 · The paper itself

Abstract

Arsenic, a well-known environmental endocrine disruptor, exerts interference on the body's endocrine system. Our previous investigations have demonstrated that chronic exposure to sodium arsenite (NaAsO

Indexed as

sodium arsenitethyroid hormonethyrotoxicityTLR4/NF-κB signaling pathwayvitamin D

Identifiers

PMID39771102
PMCPMC11728788

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.