Evidence map›Paper›PMID 30733876›Full record

ArticleEmergency medicine international2019

Increased Serum Concentrations of TNF-Like Weak Inducer of Apoptosis Predict Higher 28-Day Mortality in Patients with Sepsis.

Ying Guo, Manyi Ren, Lili Ge, Chao Sun, Rui Li, Cheng'en Ma, Shujian Sui

Abstract read
In one paragraph

Article in Emergency medicine international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Esmolol inhibits inflammation and apoptosis in the intestinal tissue via the overexpression of NF-κB-p65 in the early stage sepsis rats.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2020
    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

7 authors.

Ying GuoDepartment of Intensive Care Unit, The Second Hospital of Shandong University, Jinan 250033, China.
Manyi RenDepartment of Cardiology, Qianfoshan Hospital Affiliated to Shandong University, Jinan 250014, China.
Lili GeDepartment of Cardiovascular Medicine, The Second Hospital of Shandong University, Jinan 250033, China.
Chao SunCentral Research Laboratory, The Second Hospital of Shandong University, Jinan 250033, China.
Rui LiDepartment of Emergency, The Second Hospital of Shandong University, Jinan 250033, China.
Cheng'en MaDepartment of Intensive Care Unit, The Second Hospital of Shandong University, Jinan 250033, China.
Shujian SuiDepartment of Cardiovascular Medicine, The Second Hospital of Shandong University, Jinan 250033, China.ORCID 0000-0002-0380-7497

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We performed the current study to explore potential predictive value of serum Tumor Necrosis Factor- (TNF-) like weak inducer of apoptosis (TWEAK) concentrations for 28-day mortality in patients with sepsis. Adult septic patients (age≥18 years) admitted to a general ICU between November 2016 and October 2017 were consecutively included in our prospective observational study. TWEAK concentrations were detected in septic patients and healthy controls. Dynamic changes of TWEAK concentrations between 1st day and 3rd day of admission to ICU (ΔTWEAK concentrations) were also measured. A total of 79 septic patients were included and 19 of them (24.1%) died after a follow-up period of 28 days. We identified arterial lactate, NT-proBNP, and male gender as independent factors for 28-day mortality of patients with sepsis. The serum levels of TWEAK were significantly lower in septic patients compared to controls (417.4 ± 196.7 pg/ml versus 1243.8 ± 174.3 pg/ml,

Identifiers

PMID30733876
PMCPMC6348793

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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.