Evidence map›Paper›PMID 38096241›Full record

ArticlePloS one2023

Analysis of pathogenic factors on the death rate of sepsis patients.

Luwei Ye, Mei Feng, Qingran Lin, Fang Li, Jun Lyu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

5 authors at 1 institution in 1 country.

Luwei YeIntensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China.ORCID 0000-0001-6638-2070
Mei FengIntensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China.
Qingran LinDepartment Of Nursing, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China.
Fang LiIntensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China.
Jun LyuIntensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China.ORCID 0000-0002-2237-8771
First Affiliated Hospital of Jinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Surviving Sepsis Campaign (SSC) believed that early identification of septic shock, aggressive fluid resuscitation and maintenance of effective perfusion pressure should be carried out. However, some of the current research focused on a single death factor for sepsis patients, based on a limited sample, and the research results of the relationship between comorbidities and sepsis related death also have some controversies.

methodTherefore, our study used data from a large sample of 9,544 sepsis patients aged 18-85 obtained from the MIMIC-IV database, to explore the risk factors of death in patients with sepsis. We used the general clinical information, organ dysfunction scores, and comorbidities to analyze the independent risk factors for death of these patients.

resultsThe death group had significantly higher organ dysfunction scores, lower BMI, lower body temperature, faster heart rate and lower urine-output. Among the comorbidities, patients suffering from congestive heart failure and liver disease had a higher mortality rate.

conclusionThis study helps to identify sepsis early, based on a comprehensive evaluation of a patient's basic information, organ dysfunction scores and comorbidities, and this methodology could be used for actual clinical diagnosis in hospitals.

Indexed as

SepsisShock, SepticFluid TherapyHumansOrgan Dysfunction ScoresRisk Factors

Identifiers

PMID38096241
PMCPMC10721076
OpenAlexW4389762953

What OpenQuestion holds

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LicenceCC BY
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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.