Evidence map›Paper›PMID 37090706›Full record

ArticleFrontiers in immunology2023

Oral administration of heat-inactivated

Minghui Cui, Guangfu Tang, Fang Yan, Shunshan Wang, Xi Wang, Junhu Yao, Xiurong Xu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

7 authors at 1 institution in 1 country.

Minghui CuiCollege of Animal Science and Technology, Northwest A&F University, Yangling, China.
Guangfu TangCollege of Animal Science and Technology, Northwest A&F University, Yangling, China.
Fang YanCollege of Animal Science and Technology, Northwest A&F University, Yangling, China.
Shunshan WangCollege of Animal Science and Technology, Northwest A&F University, Yangling, China.
Xi WangCollege of Animal Science and Technology, Northwest A&F University, Yangling, China.
Junhu YaoCollege of Animal Science and Technology, Northwest A&F University, Yangling, China.
Xiurong XuCollege of Animal Science and Technology, Northwest A&F University, Yangling, China.
Northwest A&F University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Newly weaned animals are susceptible to a wide range of microbial infections taking a high risk of developing post-weaning diarrhea. Trained immunity is the capacity of the innate immune system to produce a stronger and non-specific response against a secondary infection after the inflammatory response caused by previous stimulus has returned to normal state. The objective of this study was to evaluate if the heat-inactivated Methods: Sixty newborn pups were randomly separated into two groups: IEC group (n =30) orally administrated IEC during suckling, while the CON group received orally the same dose of saline. Both of the two group challenged with various doses of Results and Discussion: The results showed that oral administration of IEC during suckling alleviated the injury in ileal morphology induced by post-weaning

Indexed as

Escherichia coliIntestinal DiseasesAdministration, OralAnimalsAnimals, NewbornHot TemperatureIntestinesRatsSalmonella typhimuriumWeaningheat-inactivated Escherichia coliintestinal microbiotapostweaning diarrheaSalmonella typhimuriumtrained immunity

Identifiers

PMID37090706
PMCPMC10114613
OpenAlexW4362607421

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.