Evidence map›Paper›PMID 32114722›Full record

ArticleInfection & chemotherapy2020

Higher Risk for All-cause Mortality of

Yeon Sook Kim, Jungok Kim, Shinhye Cheon, Kyung Mok Sohn

Open access · goldAbstract read
In one paragraph

Article in Infection & chemotherapy, 2020. 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
0.1field-weighted citation impact, top 55% 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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Narrative Review on the Role ofOpen forum infectious diseases · 2021
    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

4 authors at 1 institution in 1 country.

Yeon Sook KimDivision of Infectious Diseases, Department of Internal Medicine, Chungnam National University School of Medicine, Daejeon, Korea. alice@cnuh.co.kr.ORCID https://orcid.org/0000-0003-1142-5488
Jungok KimDivision of Infectious Diseases, Department of Internal Medicine, Chungnam National University School of Medicine, Daejeon, Korea.ORCID https://orcid.org/0000-0002-0694-1579
Shinhye CheonDivision of Infectious Diseases, Department of Internal Medicine, Chungnam National University School of Medicine, Daejeon, Korea.ORCID https://orcid.org/0000-0002-1783-121X
Kyung Mok SohnDivision of Infectious Diseases, Department of Internal Medicine, Chungnam National University School of Medicine, Daejeon, Korea.ORCID https://orcid.org/0000-0002-3237-044X
Chungnam National University · KR

Funding

Chungnam National University
6 · The paper itself

Abstract

backgroundMATERIALS AND

methodsWe conducted a retrospective study on the patients with SAB hospitalized in a tertiary care center in Korea between March 2014 and December 2018. Kaplan-Meier analysis was performed to compare all-cause mortality following SAB among patients with non-dialysis dependent CKD (ND-CKD), those receiving dialysis, and those without CKD (non-CKD). The predictors of mortality among CKD patients were analyzed by Cox proportional hazards regression.

resultsAs a total, 278 SAB of 43 ND-CKD (31 males), 58 dialysis (39 males), and 177 non-CKD (112 males) patients were included. The 30-day mortality was 39.5% in ND-CKD, 27.6% in dialysis, and 7.9% in non-CKD patients. The hazard ratio of all-cause mortality following SAB in ND-CKD was 2.335 (95% confidence interval, 1.203 - 4.531;

conclusionND-CKD patients demonstrated poor outcome following SAB and administration of appropriate antibiotics within 48 h could reduce the risk for mortality.

Indexed as

Chronic kidney diseaseDialysisMortalityStaphylococcus aureus bacteremia

Identifiers

PMID32114722
PMCPMC7113454
OpenAlexW3008191951

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.