Evidence map›Paper›PMID 33503890›Full record

ArticlePathogens (Basel, Switzerland)2021

Predictive and Prognostic Utility of the Serum Level of Resistin-Like Molecule Beta for Risk Stratification in Patients with Community-Acquired Pneumonia.

Li Chen, Qiongzhen Luo, Ying Shang, Xinwei He, Yu Xu, Zhancheng Gao

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Li ChenDepartment of Respiratory & Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China.
Qiongzhen LuoDepartment of Respiratory & Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China.
Ying ShangDepartment of Respiratory & Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China.
Xinwei HeDepartment of Internal Medicine, Xicheng District Zhanlanlu Hospital, Beijing 100032, China.
Yu XuDepartment of Respiratory & Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China.
Zhancheng GaoDepartment of Respiratory & Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China.ORCID 0000-0002-8495-9221

Funding

National Key Research and Development Program of China 2016YFC0903800
6 · The paper itself

Abstract

Despite progress in intensive care, the morbidity and mortality of patients with community-acquired pneumonia (CAP) remains high. Furthermore, the predictive and prognostic utility of resistin-like molecule beta (RELM-β) in patients with CAP is uncertain. This study investigated the role of RELM-β in patients with CAP and evaluated its correlation with disease severity and the risk of death. A prospective, multicenter study was conducted in 2017, and admission serum levels of RELM-β were detected using quantitative enzyme-linked immunosorbent assay. A total of 114 and 112 patients with severe CAP (SCAP) and non-severe CAP (NSCAP) were enrolled, respectively, with 15 healthy controls. Patients with SCAP, especially non-survivors, had significantly higher levels of serum RELM-β than patients with NSCAP. RELM-β levels positively correlated with severity scores and consistently predicted SCAP in patients with CAP (area under the curve = 0.794). Increased levels of RELM-β were closely related to the severity and prognosis of patients with CAP. The accuracy of 30-day mortality predictions of CURB-65 (confusion, urea, respiratory rate, blood pressure, and age ≥ 65 years) can be significantly improved when combined with RELM-β levels. The level of RELM-β can assist clinicians in risk stratification of patients with CAP in early stages.

Indexed as

community-acquired pneumoniamortalityresistin-like molecule betaseverity

Identifiers

PMID33503890
PMCPMC7912120

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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.