Evidence map›Paper›PMID 32431223›Full record

Observational studyThe Journal of international medical research2020

Clinical risk factors and predictive tool of bacteremia in patients with cirrhosis.

Qiao Yang, Xian Zhong Jiang, Yong Fen Zhu, Fang Fang Lv

Open access · goldAbstract readObservational StudyValidation Study
In one paragraph

Observational study in The Journal of international medical research, 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
1.0field-weighted citation impact, top 24% 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, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. [Expert consensus on diagnosis and treatment of end-stage liver disease complicated infection (2021 version)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
    Article
  5. 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

4 authors at 1 institution in 1 country.

Qiao YangDepartment of Infectious Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Xian Zhong JiangDepartment of Infectious Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Yong Fen ZhuDepartment of Infectious Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Fang Fang LvDepartment of Infectious Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0001-8573-350X
Sir Run Run Shaw Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to analyze the risk factors and to establish a predictive tool for the occurrence of bloodstream infections (BSI) in patients with cirrhosis.

methodsA total of 2888 patients with cirrhosis were retrospectively included. Multivariate analysis for risk factors of BSI were tested using logistic regression. Multivariate logistic regression was validated using five-fold cross-validation.

resultsVariables that were independently associated with incidence of BSI were white blood cell count (odds ratio [OR] = 1.094, 95% confidence interval [CI] 1.063-1.127)], C-reactive protein (OR = 1.005, 95% CI 1.002-1.008), total bilirubin (OR = 1.003, 95% CI 1.002-1.004), and previous antimicrobial exposure (OR = 4.556, 95% CI 3.369-6.160); albumin (OR = 0.904, 95% CI 0.883-0.926), platelet count (OR = 0.996, 95% CI 0.994-0.998), and serum creatinine (OR = 0.989, 95% CI 0.985-0.994) were associated with lower odds of BSI. The area under receiver operating characteristic (ROC) curve of the risk assessment scale was 0.850, and its sensitivity and specificity were 0.762 and 0.801, respectively. There was no significant difference between the ROC curves of cross-validation and risk assessment.

conclusionsWe developed a predictive tool for BSI in patients with cirrhosis, which could help with early identification of such episodes at admission, to improve outcome in these patients.

Indexed as

AdultAgedBacteremiaBilirubinC-Reactive ProteinCreatinineFemaleHospitalizationHumansIncidenceLiver CirrhosisLogistic ModelsMaleMiddle AgedPlatelet CountRetrospective StudiesBilirubinC-Reactive ProteinCreatinineSerum Albumin, Humanbacteremiabloodstream infectioncirrhosiscross-validationLiveroutcomerisk assessment

Identifiers

PMID32431223
PMCPMC7241210
OpenAlexW3027843001

What OpenQuestion holds

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LicenceCC BY-NC
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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.