Evidence map›Paper›PMID 37851178›Full record

Observational studyEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2023

Clinical impact of metformin exposure during Staphylococcus aureus bacteremia in patients with diabetes mellitus.

Ju Young Lee, Eun Sil Kim, Euijin Chang, Seongman Bae, Jiwon Jung, Min Jae Kim, Yong Pil Chong, Sung-Han Kim, Sang-Ho Choi, Sang-Oh Lee and 1 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Targeting AMP-activated protein kinase in sepsis.Frontiers in endocrinology · 2024
    Review
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

11 authors.

Ju Young LeeDepartment of Internal Medicine, Sam Anyang Hospital, Anyang, Republic of Korea.ORCID http://orcid.org/0000-0003-3156-6800
Eun Sil KimCenter for Antimicrobial Resistance and Microbial Genetics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Euijin ChangDivision of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 138-736, Republic of Korea.
Seongman BaeCenter for Antimicrobial Resistance and Microbial Genetics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Jiwon JungDivision of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 138-736, Republic of Korea.
Min Jae KimDivision of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 138-736, Republic of Korea.
Yong Pil ChongDivision of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 138-736, Republic of Korea.
Sung-Han KimDivision of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 138-736, Republic of Korea.
Sang-Ho ChoiDivision of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 138-736, Republic of Korea.
Sang-Oh LeeDivision of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 138-736, Republic of Korea.
Yang Soo KimCenter for Antimicrobial Resistance and Microbial Genetics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. yskim@amc.seoul.kr.ORCID http://orcid.org/0000-0002-6785-8824

Funding

Ministry of Health and Welfare HV22C1234
6 · The paper itself

Abstract

purposeIncreasing evidence has suggested that metformin may play positive roles in a wide range of infectious diseases. This study aimed to investigate the clinical impact of metformin exposure during Staphylococcus aureus bacteremia (SAB) in patients with diabetes.

methodsA 3-year observational cohort study of 452 patients (aged ≥ 16 years) with SAB was performed at a tertiary care hospital. Metformin exposure was defined as receiving metformin during SAB, regardless of metformin use before the onset of bacteremia.

resultsOf 452 patients, 51 (11.3%) were classified in Group A (diabetes with metformin exposure), 115 (25.4%) in Group B (diabetes without metformin exposure), and 286 (63.3%) in Group C (no diabetes). The 30-day mortality rate in Group A was significantly lower than that in Group B (3.9% [2/51] versus 14.8% [17/115]; p = 0.04) and lower than that in Group C (3.9% [2/51] versus 17.1% [49/286]; p = 0.02). The mortality rates did not differ between Group B and Group C (14.8% [17/115] versus 17.1% [49/286]; p = 0.57). The rates of persistent and recurrent bacteremia were comparable among the three groups. Multivariate analysis indicated that metformin exposure was significantly associated with reduced mortality (adjusted odds ratio, 0.20; 95% confidence interval, 0.04-0.88; p = 0.03).

conclusionsMetformin exposure during SAB appears to be an independent predictor of survival in patients with diabetes.

Indexed as

BacteremiaCommunicable DiseasesDiabetes MellitusStaphylococcal InfectionsAdolescentAdultHumansStaphylococcus aureusBacteremiaDiabetes mellitusMetforminStaphylococcus aureus

Identifiers

What OpenQuestion holds

Textmetadata
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.