Evidence map›Paper›PMID 36361621›Full record

ArticleInternational journal of molecular sciences2022

A Combination of Virulent and Non-Productive Phages Synergizes the Immune System against

Lu Liang, Jiaqi Huang, Ketong Cui, Peiyong Li, Wenjian Shi, Fang Lin, Guijuan Hao, Shuhong Sun

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 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
0.8field-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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Lu LiangDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Tai'an 271018, China.ORCID 0000-0003-4967-0315
Jiaqi HuangDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Tai'an 271018, China.
Ketong CuiDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Tai'an 271018, China.
Peiyong LiDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Tai'an 271018, China.
Wenjian ShiDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Tai'an 271018, China.
Fang LinDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Tai'an 271018, China.
Guijuan HaoDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Tai'an 271018, China.ORCID 0000-0003-4074-4023
Shuhong SunDepartment of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Tai'an 271018, China.ORCID 0000-0003-0059-6759
Shandong Agricultural University · CN

Funding

China Postdoctoral Science Foundation 2022M711966Key Research and Development Program of Shandong Province, China 2022CXGC010606National Natural Science Foundation of China 32102676Natural Science Foundation of Shandong Province of China ZR2021QC076
6 · The paper itself

Abstract

Effective phage cocktails consisting of multiple virus types are essential for successful phage therapy against pandrug-resistant pathogens, including

Indexed as

BacteriophagesSalmonella entericaSalmonella PhagesAnimalsImmune SystemMiceSalmonella typhimuriumimmunophage synergylysis from withoutphage cocktailphage resistanceSalmonella Typhimurium

Identifiers

PMID36361621
PMCPMC9654417
OpenAlexW4307190459

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.