Evidence map›Paper›PMID 34204698›Full record

ArticleJournal of clinical medicine2021

Systemic Antibiotics and Obesity: Analyses from a Population-Based Cohort.

So Young Park, Morena Ustulin, SangHyun Park, Kyung-Do Han, Joo Young Kim, Dong Wook Shin, Sang Youl Rhee

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 10 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 6 institutions in 1 country.

So Young ParkDepartment of Endocrinology and Metabolism, Kyung Hee University Hospital, Seoul 03080, Korea.
Morena UstulinMedical Science Research Institute, Kyung Hee University Medical Center, Seoul 03080, Korea.
SangHyun ParkDepartment of Medical Statistics, College of Medicine, Catholic University of Korea, Seoul 03080, Korea.
Kyung-Do HanDepartment of Statistics and Actuarial Science, Soongsil University, Seoul 03080, Korea.
Joo Young KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Hanil General Hospital, Seoul 03080, Korea.
Dong Wook ShinSupportive Care Center, Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 03080, Korea.
Sang Youl RheeDepartment of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul 03080, Korea.ORCID 0000-0003-0119-5818
Kyung Hee University Dental Hospital · KRHanil General Hospital · KRKyung Hee University · KRKyung Hee University Medical Center · KRSamsung Medical Center · KRSoongsil University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn this study, we analyzed the association between antibiotic use and obesity and metabolic syndrome (MS) in a Korean adult population.

methodsSubjects using the Korean National Health Insurance Service sample cohort were retrospectively analyzed in 2015. The differences in obesity and metabolic syndrome (MS) status were compared and analyzed according to duration of systemic antibiotic treatment in the previous 10 years (non-users, 1st, 2nd, and 3rd tertile).

resultsSubjects who used systemic antibiotics for longer periods were older, satisfied more criteria for MS, and had more comorbidities than non-users (non-users vs. 3rd tertile,

conclusionThe risk of obesity was higher in subjects who took systemic antibiotics more frequently. The risk was more prominent when they took antibiotics targeting Gram-negative bacteria.

Indexed as

anti-bacterial agentscohort studiesobesityrepublic of Korea

Identifiers

PMID34204698
PMCPMC8231544
OpenAlexW3172545200

What OpenQuestion holds

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LicenceCC BY
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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.