Evidence map›Paper›PMID 35631208›Full record

ArticleNutrients2022

Inner Shell of the Chestnut (

Chang-Yeop Kim, Jeong-Won Kim, Jin-Hwa Kim, Ji-Soo Jeong, Je-Oh Lim, Je-Won Ko, Tae-Won Kim

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. 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
1.7field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Chang-Yeop KimBK21 FOUR Program, College of Veterinary Medicine, Chungnam National University, 99 Daehak-ro, Daejeon 34131, Korea.
Jeong-Won KimBK21 FOUR Program, College of Veterinary Medicine, Chungnam National University, 99 Daehak-ro, Daejeon 34131, Korea.
Jin-Hwa KimBK21 FOUR Program, College of Veterinary Medicine, Chungnam National University, 99 Daehak-ro, Daejeon 34131, Korea.
Ji-Soo JeongBK21 FOUR Program, College of Veterinary Medicine, Chungnam National University, 99 Daehak-ro, Daejeon 34131, Korea.
Je-Oh LimBK21 FOUR Program, College of Veterinary Medicine, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju 61186, Korea.ORCID 0000-0002-0648-8348
Je-Won KoBK21 FOUR Program, College of Veterinary Medicine, Chungnam National University, 99 Daehak-ro, Daejeon 34131, Korea.
Tae-Won KimBK21 FOUR Program, College of Veterinary Medicine, Chungnam National University, 99 Daehak-ro, Daejeon 34131, Korea.ORCID 0000-0002-5239-3833
Chungnam National University · KRChonnam National University · KR

Funding

National Research Foundation of Korea 2021R1A4A1033078National Research Foundation of Korea 2021R1A6A1A03045495
6 · The paper itself

Abstract

The inner shell of the chestnut (Castanea crenata) contains various polyphenols, which exert beneficial biological effects. Hence, we assessed the anti-inflammatory efficacy of a chestnut inner shell extract (CIE) in ovalbumin (OVA)-induced allergic asthma. We intraperitoneally injected 20 μg of OVA with 2 mg of aluminum hydroxide on days 0 and 14. On test days 21, 22, and 23, the mice were treated with aerosolized 1% (

Indexed as

AsthmaFagaceaePlant ExtractsAnimalsAnti-Inflammatory AgentsCyclooxygenase 2Disease Models, AnimalMatrix Metalloproteinase 9MiceMice, Inbred BALB CNF-kappa BOvalbuminSeedsAnti-Inflammatory AgentsCyclooxygenase 2Matrix Metalloproteinase 9NF-kappa BOvalbuminPlant Extractsairway inflammationasthmachestnut inner shell extractcyclooxygenase-2inducible nitric oxide synthasematrix metalloproteinase-9

Identifiers

PMID35631208
PMCPMC9147817
OpenAlexW4280570786

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.