Evidence map›Paper›PMID 30949507›Full record

Trial reportBioMed research international2019

Serum Cystatin C Predicts Mortality in HBV-Related Decompensated Cirrhosis.

JianPing Wu, QianXia Wu, MinYi Wu, WeiLin Mao

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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.

JianPing WuDepartment of Clinical Laboratory, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, China.
QianXia WuDepartment of Clinical Laboratory, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, China.
MinYi WuDepartment of Clinical Laboratory, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, China.
WeiLin MaoDepartment of Clinical Laboratory, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, China.ORCID 0000-0002-9042-9147
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSome studies have reported that renal dysfunction is associated with poor prognosis in cirrhotic patients. Serum cystatin C (CysC) is an accurate biomarker for early renal dysfunction. This study aimed to assess the prognostic value of serum CysC levels in patients with hepatitis B virus-related decompensated cirrhosis (HBV-DeCi).

methodsThis retrospective study included 75 subjects who had been diagnosed with HBV-DeCi. The association between serum CysC and prognosis was estimated by receiver operating characteristic curve analysis and a multivariable logistic regression model.

resultsSerum CysC levels were higher in nonsurvivors than in survivors and were positively correlated with model for end-stage liver disease (MELD) scores. In multivariate analysis, CysC and the MELD score were independent prognostic factors in all HBV-DeCi patients. However, only serum CysC was an independent factor predicting mortality in patients with normal creatinine levels.

conclusionsThese data suggest that high serum CysC levels can be considered an independent biomarker of 3-month mortality in patients with HBV-DeCi.

Indexed as

End Stage Liver DiseaseHepatitis B, ChronicHepatitis B virusLiver CirrhosisAdultAgedBiomarkersChinaCystatin CFemaleFollow-Up StudiesHumansMaleMiddle AgedPredictive Value of TestsBiomarkersCST3 protein, humanCystatin C

Identifiers

PMID30949507
PMCPMC6425319
OpenAlexW2919414261

What OpenQuestion holds

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LicenceCC BY
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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.