Evidence map›Paper›PMID 30078031›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2018

Hotspot Analysis of Sepsis Literature.

Changhai Xu, Zhe Wang, Kaining Lu, Hongxu Jin

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Biclustering data analysis: a comprehensive survey.Briefings in bioinformatics · 2024
    Review
  2. Article
  3. Bibliometric Analysis of Pediatric Liver Transplantation Research in PubMed from 2014 to 2018.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  4. 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

4 authors.

Changhai XuDepartment of Emergency Medicine, General Hospital of Shenyang Military Command, Shenyang, Liaoning, China (mainland).
Zhe WangMedical Oncology Department of Gastrointestinal Cancer, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning, China (mainland).
Kaining LuDepartment of Urology, China Medical University, Hospital 1, Shenyang, Liaoning, China (mainland).
Hongxu JinDepartment of Emergency Medicine, General Hospital of Shenyang Military Command, Shenyang, Liaoning, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a common life-threatening pathological process. However, the transformation efficiency of studies on the treatment of sepsis is relatively low. Therefore, a hotspot and trend development study was attempted on the treatment area of sepsis in accordance with the literature. We selected 2511 studies most related to the treatment of sepsis within the past 5 years as research samples. Text and co-word matrix were established by analyzing and selecting high-frequency words using BICOMB software. Classifications in hotspot areas were obtained through biclustering and visual analysis of high-frequency words using Ggluto software. Strategy coordinates for hotspot research were conducted using a co-word matrix. A total of 41 high-frequency words, text, and co-word matrix were conducted within the 2511 studies. A peak map was drawn based on biclustering analysis. The density and concentricity of each hotspot were calculated using the result of the co-word matrix and biclustering analysis. The research concluded 4 categories and 9 aspects for the treatment of sepsis. Additionally, calculation results showed that the relationship between the prognosis of sepsis and the hematological prognosis was in the fourth quadrant of the strategic diagram, that means it was the potential hotspot area for the treatment of sepsis. This conclusion provides potential value for future exploratory stages of study.

Indexed as

BibliometricsCluster AnalysisHumansPrognosisSepsisSoftware

Identifiers

PMID30078031
PMCPMC6091165

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.