Evidence map›Paper›PMID 36643915›Full record

ArticleFrontiers in immunology2022

Yue Wang, Li-Guo Yang, Guang-Peng Feng, Zong-Li Yao, Shou-Hu Li, Jun-Fang Zhou, Wen-Hong Fang, Yi-Hong Chen, Xin-Cang Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Genome-Wide Association Study for Weight-Related Traits inAnimals : an open access journal from MDPI · 2025
    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

9 authors at 3 institutions in 1 country.

Yue WangKey Laboratory of Inland Saline-alkaline Aquaculture, Ministry of Agriculture and Rural Affairs, Shanghai, China.
Li-Guo YangKey Laboratory of Inland Saline-alkaline Aquaculture, Ministry of Agriculture and Rural Affairs, Shanghai, China.
Guang-Peng FengKey Laboratory of Inland Saline-alkaline Aquaculture, Ministry of Agriculture and Rural Affairs, Shanghai, China.
Zong-Li YaoKey Laboratory of Inland Saline-alkaline Aquaculture, Ministry of Agriculture and Rural Affairs, Shanghai, China.
Shou-Hu LiKey Laboratory of Inland Saline-alkaline Aquaculture, Ministry of Agriculture and Rural Affairs, Shanghai, China.
Jun-Fang ZhouKey Laboratory of Inland Saline-alkaline Aquaculture, Ministry of Agriculture and Rural Affairs, Shanghai, China.
Wen-Hong FangKey Laboratory of Inland Saline-alkaline Aquaculture, Ministry of Agriculture and Rural Affairs, Shanghai, China.
Yi-Hong ChenKey Laboratory for Healthy and Safe Aquaculture, Institute of Modern Aquaculture Science and Engineering (IMASE), College of Life Science, South China Normal University, Guangzhou, China.
Xin-Cang LiKey Laboratory of Inland Saline-alkaline Aquaculture, Ministry of Agriculture and Rural Affairs, Shanghai, China.
Chinese Academy of Fishery Sciences · CNMinistry of Agriculture and Rural Affairs · CNSouthern Marine Science and Engineering Guangdong Laboratory (Guangzhou) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toll and Toll-like receptors (TLRs) play essential roles in the innate immunity of

Indexed as

Bacterial InfectionsCrustaceaVibrio parahaemolyticusAnimalsHumansImmunity, InnateInvertebratesLipopolysaccharidesToll-Like ReceptorsLipopolysaccharidesToll-Like Receptorsantibacterial activityLPS binding activityMD2-related lipid-recognition (ML) homologsPenaeus vannameirecognition and activation mechanismtoll signaling pathway

Identifiers

PMID36643915
PMCPMC9832027
OpenAlexW4313414901

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.