Evidence map›Paper›PMID 29390273›Full record

ArticleMedicine2017

Evaluation of prognostic scoring systems in liver cirrhosis patients with bloodstream infection.

Hong Zhao, Xiuling Gu, Ruihong Zhao, Yu Shi, Jifang Sheng

Abstract read
In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. [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
  6. Article
  7. Article
  8. Observational
  9. Article
  10. [Expert consensus on diagnosis and treatment of end-stage liver disease complicated with infections].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2018
    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

5 authors.

Hong ZhaoState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou Department of infectious diseases, Cixi People's Hospital, Cixi, China.
Xiuling Gu
Ruihong Zhao
Yu Shi
Jifang Sheng

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with cirrhosis are at increased risk of developing bloodstream infections (BSIs), and the short-term mortality rate in those patients is high. The aim of this study was to compare the different scoring models to predict mortality in cirrhotic patients with BSIs.A total of 222 cirrhotic patients with BSIs were retrospectively included in the study. The demographic, clinical, and microbiologic data were collected and patients were followed for at least 28 days after blood cultures were established. A multivariable Cox proportional hazard model was used to identify independent risk factors for 28-day all-cause mortality. The prognostic accuracy of different scoring models (chronic liver failure-organ failure [CLIF-OF], model for end-stage liver disease [MELD], systemic inflammatory response syndrome [SIRS], and Pitt scores) were compared with the C-index and receiver operating characteristic curve (ROC).Forty deaths were recorded on day 28 after blood cultures were established. Male sex (hazard ratio [HR] = 2.75, 95% confidence interval [CI] = 1.10-6.86), international normalized ratio (INR) (HR = 1.76, 95% CI = 1.35-2.30), serum bilirubin (HR = 1.002, 95% CI = 1.000-1.003), circulation failure (HR = 3.56, 95% CI = 1.63-7.79), lung failure (HR = 2.23, 95% CI = 1.09-4.57), and non-primary BSI source (HR = 2.27, 95% CI = 1.09-4.73) were identified as independent risk factors for mortality in cirrhotic patients with BSIs. In predicting 28-day mortality, CLIF-OF and MELD scores had significantly high C-indices (0.79 and 0.76, respectively) and ROC values (0.786 and 0.782, respectively) compared with Pitt and SIRS scores (C-indices: 0.61 and 0.57, respectively; ROC values: 0.591 and 0.637, respectively).Cirrhotic patients with BSIs had high short-term mortality rates. Our data suggested that both CLIF-OF and MELD scores can be used to predict the short-term prognosis of these patients.

Indexed as

Anti-Bacterial AgentsBacteremiaBiopsyFemaleHumansLiver CirrhosisMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesRisk FactorsAnti-Bacterial Agents

Identifiers

PMID29390273
PMCPMC5815685

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Registered trials

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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.