Evidence map›Paper›PMID 35303288›Full record

ArticleInfectious diseases and therapy2022

A Clinical Diagnostic Study: Fibulin-2 is a Novel Promising Biomarker for Predicting Infection.

Shidan Li, Hao Jiang, Wei Xing, Shaochuan Wang, Yao Zhang, Youbin Li, Chengyi Mao, Delian Zeng, Ping Lan, Dongqin Tang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases and therapy, 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
0.9field-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

7 citing papers in PubMed, 8 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

14 authors at 3 institutions in 1 country.

Shidan LiDepartment of Orthopaedics, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Hao JiangDepartment of Orthopaedics, Affiliated Hospital of Southwest Medical University, Luzhou, 646000, People's Republic of China.
Wei XingDepartment of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Shaochuan WangDepartment of Orthopaedics, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Yao ZhangDepartment of Epidemiology, Army Medical University, Chongqing, 400042, People's Republic of China.
Youbin LiDepartment of Orthopaedics, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Chengyi MaoDepartment of Pathology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Delian ZengDepartment of Emergency, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Ping LanDepartment of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Dongqin TangDepartment of Emergency, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Jijie ZhanDepartment of Emergency, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Lei LiDepartment of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Xiang XuDepartment of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China. xiangxu@tmmu.edu.cn.
Jun FeiDepartment of Emergency, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China. feijundoctor@sohu.com.
Daping Hospital · CNArmy Medical University · CNAffiliated Hospital of Southwest Medical University · CN

Funding

Chongqing Science and Technology Commission cstc2019jscx-msxmX0210Military Biosafety Project 19SWAQ18The Special Fund for Improving Scientific and Technological Innovation Capacity of Army Military Medical University 2019XLC2023
6 · The paper itself

Abstract

introductionInfection remains a major cause of morbidity and mortality in hospital. As uncontrolled early infection may develop into systemic infection and eventually progress to sepsis, it is important to address infection at an early stage. Furthermore, early detection and prompt diagnosis of infection are the basis of clinical intervention. However, as a result of the interference of complex aetiologies, including fever and trauma, problems regarding the sensitivity and specificity of current diagnostic indices remain, such as for C-reactive protein (CRP), procalcitonin (PCT), white blood cells (WBC), neutrophil ratio (NEU%), interleukin-6 (IL-6) and D-dimer. As a result, there is an urgent need to develop new biomarkers to diagnose infection.

methodsFrom January to October 2021, consecutive patients in the emergency department (ED) were recruited to investigate the feasibility of fibulin-2 as a diagnostic indicator of early infection. Fibulin-2 concentrations in plasma were determined with enzyme-linked immunosorbent assay (ELISA). The performance of fibulin-2 for predicting infection was analysed by receiver operating characteristic (ROC) curves.

resultsWe found that the plasma fibulin-2 level was elevated in patients with infection compared with those without infection. ROC curve analysis showed that the area under the curve (AUC) for fibulin-2 was 0.712. For all patients included, the diagnostic ability of fibulin-2 (AUC 0.712) performed as well as CRP (AUC 0.667) and PCT (AUC 0.632), and better than WBC (AUC 0.620), NEU% (AUC 0.619), IL-6 (AUC 0.561) and D-dimer (AUC 0.630). In patients with fever, fibulin-2 performed as well as PCT and better than the other biomarkers in infection diagnosis. In particular, fibulin-2 performed better than all these biomarkers in patients with trauma.

conclusionFibulin-2 is a novel promising diagnostic biomarker for predicting infection.

Indexed as

BiomarkerCRPFibulin-2InfectionPCT

Identifiers

PMID35303288
PMCPMC8931586
OpenAlexW4220925169

What OpenQuestion holds

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LicenceCC BY-NC
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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.