Evidence map›Paper›PMID 37251864›Full record

ArticleHeliyon2023

Analysis of changes in antibiotic resistance in the human body using an

Seung Yun Lee, Da Young Lee, Hea Jin Kang, Seung Hyeon Yun, Ermie Jr Mariano, Juhyun Lee, Jong Hyuk Kim, Sun Jin Hur

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Seung Yun LeeDivision of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju, 52725, South Korea.
Da Young LeeDepartment of Animal Science and Technology, Chung-Ang University, Anseong, 17546, South Korea.
Hea Jin KangDepartment of Animal Science and Technology, Chung-Ang University, Anseong, 17546, South Korea.
Seung Hyeon YunDepartment of Animal Science and Technology, Chung-Ang University, Anseong, 17546, South Korea.
Ermie Jr MarianoDepartment of Animal Science and Technology, Chung-Ang University, Anseong, 17546, South Korea.
Juhyun LeeDepartment of Animal Science and Technology, Chung-Ang University, Anseong, 17546, South Korea.
Jong Hyuk KimDepartment of Animal Science, Chungbuk National University, Cheongju, 28644, South Korea.
Sun Jin HurDepartment of Animal Science and Technology, Chung-Ang University, Anseong, 17546, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Residual antibiotics may affect human health by increasing challenges related to infection treatment due to antibiotic resistance development. Hence, determining whether residual antibiotics in the body can lead to antibiotic resistance is important. We developed a model to predict possible antibiotic resistance caused by residual antibiotics by simulating human digestion

Indexed as

Antibiotic resistanceGut microbiotaIn vitro human digestion

Identifiers

PMID37251864
PMCPMC10209409

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.