Evidence map›Paper›PMID 36241932›Full record

ArticleInternal and emergency medicine2022

Serum TRAIL predicts severity and prognosis in patients with community-acquired pneumonia: a prospective cohort study.

Dong-Xu Hua, Kai-Shu Ma, Jia-Yi Cheng, Ying Liu, Jing Sun, Qi-Yuan He, You-Peng Deng, Jin Yang, Lin Fu, Hui Zhao

Open access · bronzeAbstract read
In one paragraph

Article in Internal and emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Dong-Xu Hua *Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Furong Road no 678, Hefei, 230601, Anhui, China.
Kai-Shu Ma *Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Furong Road no 678, Hefei, 230601, Anhui, China.
Jia-Yi ChengDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Furong Road no 678, Hefei, 230601, Anhui, China.
Ying LiuDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Furong Road no 678, Hefei, 230601, Anhui, China.
Jing SunDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Furong Road no 678, Hefei, 230601, Anhui, China.
Qi-Yuan HeDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Furong Road no 678, Hefei, 230601, Anhui, China.
You-Peng DengDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Furong Road no 678, Hefei, 230601, Anhui, China.
Jin YangDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Furong Road no 678, Hefei, 230601, Anhui, China.
Lin FuDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Furong Road no 678, Hefei, 230601, Anhui, China. fulin@ahmu.edu.cn.ORCID 0000-0003-1069-3560
Hui ZhaoDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Anhui Medical University, Furong Road no 678, Hefei, 230601, Anhui, China. zhaohuichenxi@126.com.
Anhui Medical University · CN

Funding

Anhui Provincial Natural Science Foundation 2008085QH400National Natural Science Foundation Incubation Program of the Second Affiliated Hospital of Anhui Medical University 2020GQFY05National Natural Science Foundation of China 82100078Scientific Research of Health Commission in Anhui Province AHWJ2021b091
6 · The paper itself

Abstract

Tumor necrosis factor (TNF)-related apoptosis-inducing ligand (TRAIL) can trigger the apoptosis pathways through binding to relative death receptors. However, the relationship of TRAIL with community-acquired pneumonia (CAP) was unclear. This study aims at exploring the relationships between circulatory TRAIL with severity and prognosis in CAP patients through a prospective cohort study. The whole of 239 CAP patients was enrolled. Demographic characteristics and clinical information were analyzed. TRAIL and inflammatory cytokines were measured using enzyme-linked immunosorbent assay (ELISA). Circulatory TRAIL was gradually increased in accord with CAP severity scores. Spearman or Pearson correlative analysis indicated that circulatory TRAIL was strongly associated with physiologic indicators among CAP patients. Mixed logistic and linear regression models revealed that circulatory TRAIL was positively correlated with the severity scores in CAP patients. After adjusting for confounders, higher levels of circulatory TRAIL on admission significantly elevated the risks of ICU admission, mechanical ventilation, longer hospital stays, or even death during hospitalization. The predictive capacities of serum TRAIL for death were higher compared with CAP severity scores, inflammatory and infectious indicators. There are obviously positive dose-response relationships between circulatory TRAIL on admission with the severity and poor prognostic outcomes in CAP patients. Circulatory TRAIL on admission may be used as a potential biomarker in predicting the severity and poor prognosis for CAP patients.

Indexed as

Community-Acquired InfectionsPneumoniaBiomarkersHumansPrognosisProspective StudiesSeverity of Illness IndexBiomarkersCommunity-acquired pneumoniaPrognosisProspective cohort studySeverityTRAIL

Identifiers

PMID36241932
PMCPMC9569003
OpenAlexW4306249927

What OpenQuestion holds

Textmetadata
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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.