Evidence map›Paper›PMID 29995791›Full record

ArticleMedicine2018

Comparison of the predictive value of scoring systems on the prognosis of cirrhotic patients with suspected infection.

Peng Lan, Shuo-Jia Wang, Qiu-Cheng Shi, Ying Fu, Qing-Ye Xu, Tao Chen, Yun-Xian Yu, Kong-Han Pan, Ling Lin, Jian-Cang Zhou and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Medicine, 2018. 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
0.8field-weighted citation impact, top 27% 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

10 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Observational
  9. Review
  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

11 authors at 1 institution in 1 country.

Peng LanDepartment of Critical Care Medicine, Sir Run Run Shaw Hospital Department of Epidemiology and Health Statistics, School of Public Health Department of Infectious Disease Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Shuo-Jia Wang
Qiu-Cheng Shi
Ying Fu
Qing-Ye Xu
Tao Chen
Yun-Xian Yu
Kong-Han Pan
Ling Lin
Jian-Cang Zhou
Yun-Song Yu
Sir Run Run Shaw Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cirrhotic patients with infection are prone to develop sepsis or even septic shock rendering poorer prognosis. However, few methods are available to predict the prognosis of cirrhotic patients with infection although there are some scoring systems can be used to predict general patients with cirrhosis. Therefore, we aimed to explore the predictive value of scoring systems in determining the outcome of critically ill cirrhotic patients with suspected infection.This was a retrospective cohort study based on a single-center database. The prognostic accuracy of the systemic inflammatory response syndrome (SIRS) criteria, quick Sequential Organ Failure Assessment (qSOFA), chronic liver failure (CLIF)-SOFA, quick CLIF-SOFA (qCLIF-SOFA), CLIF-consortium organ failure (CLIF-C OF), Model for End-Stage Liver Disease (MELD), and Simplified Acute Physiology Score (SAPS) II were compared by using area under the receiver operating characteristic (AUROC) curve and net benefit with decision curve analysis. The primary endpoint was in-hospital mortality while the secondary endpoints were duration of hospital and intensive care unit (ICU) stay and ICU mortality.A total of 1438 cirrhotic patients with suspected infection were included in the study. Nearly half the patients (50.2%) were admitted to the ICU due to hepatic encephalopathy and the overall in-hospital mortality was 32.0%. Hospital and ICU mortality increased as the score of each scoring system increased (P < .05 for all trends). The AUROC of CLIF-SOFA (AUROC, 0.742; 95% confidence interval, CI, 0.714-0.770), CLIF-C OF (AUROC, 0.741; 95% CI, 0.713-0.769), and SAPS II (AUROC, 0.759; 95% CI, 0.733-0.786) were significantly higher than SIRS criteria (AUROC, 0.618; 95% CI, 0.590-0.647), qSOFA (AUROC, 0.612; 95% CI, 0.584-0.640), MELD (AUROC, 0.632; 95% CI, 0.601-0.662), or qCLIF-SOFA (AUROC, 0.680; 95% CI, 0.650-0.710) (P < .05 for all). In the decision curve analysis, the net benefit of implementing CLIF-SOFA and CLIF-C OF to predict the prognosis of cirrhotic patients with suspected infection were higher compared with SIRS, qSOFA, MELD, or qCLIF-SOFA.CLIF-SOFA and CLIF-C OF scores, as well as SAPS II were better tools than SIRS, qSOFA, MELD, or qCLIF-SOFA to evaluate the prognosis of critically ill cirrhotic patients with suspected infection.

Indexed as

Severity of Illness IndexAdolescentAdultArea Under CurveCohort StudiesCritical IllnessDatabases, FactualDecision Support TechniquesFemaleHospital MortalityHumansInfectionsIntensive Care UnitsLength of StayLiver CirrhosisMale

Identifiers

PMID29995791
PMCPMC6076170
OpenAlexW2875827519

What OpenQuestion holds

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LicenceCC BY
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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.