Evidence map›Paper›PMID 30692073›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2019

[Association of inflammatory indices with the severity of urinary sepsis: analysis of 70 cases].

Leming Tan, Cheng Yang, Xukai Yang, Yangmin Wang, Gaoping Cai, Zhigang Cao, Chuang Huang, Dongbo Xu

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

8 authors at 1 institution in 1 country.

Leming TanGansu University of Chinese Medicine, Lanzhou 730000, China.
Cheng YangFourth Group of Students, College of Basic Medical Sciences, Fourth Military Medical University, Xi'an 710032, China.
Xukai YangDepartment of Urology, The 940th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Lanzhou 730050, China.
Yangmin WangDepartment of Urology, The 940th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Lanzhou 730050, China.
Gaoping CaiGansu University of Chinese Medicine, Lanzhou 730000, China.
Zhigang CaoDepartment of Urology, The 940th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Lanzhou 730050, China.
Chuang HuangDepartment of Urology, The 940th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Lanzhou 730050, China.
Dongbo XuDepartment of Urology, The 940th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Lanzhou 730050, China.
Gansu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the association of the clinical inflammatory indices with the severity of urinary sepsis.

methodsWe reviewed the clinical data of 70 patients with urinary sepsis treated in our hospital between January, 2013 and April, 2018. All the patients were diagnosed in line with the Guidelines for Diagnosis and Treatment of Urological Diseases in China (2014 edition), including 22 patients with sepsis, 12 with hypotension and severe sepsis, 17 with septic shock, and 19 with critical septic shock. White blood cell count (WBC), neutrophil percentage (N%), platelets (PLT), fibrinogen (FIB), Ddimer, interleukin-6 (IL-6), procalcitonin (PCT) and C-reactive protein (CRP) were examined in all the cases and compared among the 4 groups. The correlations of these inflammatory markers with the severity of sepsis were analyzed using logistic regression analysis.

resultsThe 4 groups of patients showed significant differences in N%, PLT, D-dimer, and PCT (

conclusionsPCT, PLT and N% are all significantly correlated with the severity of sepsis, and their combined detection can be informative for assessing the severity of sepsis to facilitate clinical decisions on treatment.

Indexed as

Severity of Illness IndexBiomarkersChinaC-Reactive ProteinFibrin Fibrinogen Degradation ProductsFibrinogenHumansInterleukin-6Leukocyte CountPlatelet CountProcalcitoninSepsisShock, SepticStatistics, NonparametricUrinary Tract InfectionsBiomarkersC-Reactive ProteinFibrin Fibrinogen Degradation Productsfibrin fragment DFibrinogenInterleukin-6Procalcitonininflammatory indices related factorsrefractory septic shockseptic shockurinary sepsis

Identifiers

PMID30692073
PMCPMC6765581
OpenAlexW2991426851

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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.