Evidence map›Paper›PMID 33987389›Full record

ArticleAnnals of translational medicine2021

G-rich sequence factor 1 serves as a prognostic biomarker in septic patients.

Lei Qi, Yao Wu, Ming Li, Cheng Xu, Guomin Mao, Guiwen Liang, Yansong Dong, Dajun Yan, Yan Yan, Zhongwei Huang and 2 more

Open access · diamondAbstract read
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Article in Annals of translational medicine, 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
0.5field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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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

12 authors at 4 institutions in 1 country.

Lei QiDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, China.
Yao WuDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, China.
Ming LiLaboratory, People's Hospital of Binhai County, Yancheng, China.
Cheng XuDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, China.
Guomin MaoDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, China.
Guiwen LiangDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, China.
Yansong DongDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, China.
Dajun YanDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, China.
Yan YanDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, China.
Zhongwei HuangDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, China.
Kai SunDepartment of Emergency Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Haiyan JiangDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, China.
Affiliated Hospital of Nantong University · CNNantong University · CNBinzhou People's Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis is a condition of organ dysfunction caused by infection, and is unavoidably related to costs and mortality; however, no biomarker has yet been identified to clearly predict the prognosis of septic patients. In this study, we aimed to explore the role of guanine-rich sequence factor 1 (GRSF1) in evaluating the severity and prognosis of sepsis.

methodsThe expression of GRSF1 in peripheral blood was measured and analyzed in 42 septic participants and 32 healthy controls respectively by using quantitative reverse transcription polymerase chain reaction (RT-qPCR). Clinical data were assessed by correlation analysis. In addition, GRSF1 expression was investigated in cecal ligation and puncture (CLP) induced mice septic models by RT-qPCR and western blot (WB).

resultsThe expression of GRSF1 expression in septic patients in the first day of electronic intensive care unit (eICU) administration was significantly lower in comparison with HC. Further analysis showed GRSF1 expression was strongly related to the Acute Physiologic Assessment and Chronic Health Evaluation II (APACHE II) score and Sequential Organ Failure Assessment (SOFA) score. Low expression of GRSF1 predicted high mortality within 24 hours in septic patients and in CLP-induced mice.

conclusionsDecreased expression of GRSF1 was significantly correlated with high mortality in septic patients, and also in experimental septic mice. The GRSF1 protein may be a potential prognostic biomarker in sepsis.

Indexed as

biomarkerG-rich sequence factor 1 (GRSF1)prognosisSepsis

Identifiers

PMID33987389
PMCPMC8106065
OpenAlexW3159211536

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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.