Evidence map›Paper›PMID 31309103›Full record

Observational studyBioMed research international2019

Sheng-Yuan Hsiao, Yun-Ru Lai, Chia-Te Kung, Nai-Wen Tsai, Chih-Min Su, Chih-Cheng Huang, Hung-Chen Wang, Ben-Chung Cheng, Yu-Jih Su, Wei-Che Lin and 3 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 15 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

13 authors at 2 institutions in 2 countries.

Sheng-Yuan HsiaoDepartment of Biological Science, National Sun Yat-Sen University, Kaohsiung, Taiwan.ORCID 0000-0003-2960-824X
Yun-Ru LaiDepartment of Biological Science, National Sun Yat-Sen University, Kaohsiung, Taiwan.
Chia-Te KungDepartment of Emergency Medicine, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Nai-Wen TsaiDepartment of Neurology, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan.ORCID 0000-0002-6881-5121
Chih-Min SuDepartment of Emergency Medicine, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Chih-Cheng HuangDepartment of Neurology, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan.ORCID 0000-0002-6743-7579
Hung-Chen WangDepartment of Neurosurgery, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan.ORCID 0000-0003-3962-1958
Ben-Chung ChengDepartment of Biological Science, National Sun Yat-Sen University, Kaohsiung, Taiwan.
Yu-Jih SuDepartment of Medicine, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan.ORCID 0000-0002-7274-3458
Wei-Che LinDepartment of Radiology, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan.ORCID 0000-0002-5258-8569
Yi-Fang ChiangDepartment of Neurology, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Jih-Yang KoCenter for Shockwave Medicine and Tissue Engineering, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Cheng-Hsien LuDepartment of Biological Science, National Sun Yat-Sen University, Kaohsiung, Taiwan.ORCID 0000-0002-5716-3930
Chang Gung University · TWNational Sun Yat-sen University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

methodsAGP, biomarkers widely used in clinical practice, and maximum 24-h acute physiology and chronic health evaluation (APACHE)-II scores upon emergency department (ED) admission were prospectively evaluated and compared. We further examined changes in AGP concentrations 1, 4, and 7 days after admission and determined the value of AGP that may be used to accurately and reliably predict the prognosis in patients with sepsis.

resultsMechanical ventilation, white blood cell (WBC) counts, C-reactive protein (CRP) and lactate levels, maximum 24-h APACHE-II scores, and AGP concentrations were significantly higher upon admission in patients with sepsis who died. AGP and lactate concentrations were also significantly higher in non-survivors than in survivors on days 1, 4, and 7. As indicated by the stepwise logistic regression model analysis and area under the curve analysis, AGP was the best prognostic indicator, and the cut-off value for predicting fatality was 1307

conclusionBased on our observations, AGP may be a good prognostic predictor in patients with sepsis. In addition, serial AGP levels meet the requirements for predicting outcomes in patients with sepsis.

Indexed as

OrosomucoidSepsisAgedBiomarkersDisease-Free SurvivalFemaleHospitalizationHumansMaleMiddle AgedProspective StudiesSurvival RateBiomarkersOrosomucoid

Identifiers

PMID31309103
PMCPMC6594333
OpenAlexW2951603477

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.