Evidence map›Paper›PMID 39161851›Full record

ArticleCritical care research and practice2024

Predictive Value of Red Cell Distribution Width-to-Platelet Ratio Combined with Procalcitonin in 28-day Mortality for Patients with Sepsis.

Ying Si, Bo Sun, Yongmao Huang, Ke Xiao

Abstract read
In one paragraph

Article in Critical care research and practice, 2024. 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
–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

2 citing papers in PubMed.

  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

4 authors.

Ying SiDepartment of Infectious Diseases Department of Tuberculosis, Infection, and Immunity Laboratory The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.ORCID https://orcid.org/0000-0003-1859-5113
Bo SunDepartment of Ultrasound The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.ORCID https://orcid.org/0000-0003-0889-3678
Yongmao HuangDepartment of Infectious Diseases Department of Tuberculosis, Infection, and Immunity Laboratory The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.ORCID https://orcid.org/0009-0008-7934-4223
Ke XiaoDepartment of Infectious Diseases Department of Tuberculosis, Infection, and Immunity Laboratory The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.ORCID https://orcid.org/0000-0002-4475-5865

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The objective of this study was to investigate the predictive value of erythrocyte distribution width-to-platelet ratio (RPR) combined with procalcitonin (PCT) on 28-day mortality in patients with sepsis. Methods: A total of 193 patients with sepsis admitted to the Affiliated Hospital of Southwest Medical University from January 2013 to January 2018 were selected as the study objects. Univariate and multivariate analyses were used to understand the indicators related to the 28-day prognosis of patients, and the ROC curve was further drawn. The Kaplan-Meier curve was used to evaluate the prognosis of patients. Results: A total of 193 patients were enrolled and divided into the survivor group (=156) and nonsurvivor group (=37) according to the prognosis within 28 days. The median age was 62.5 years, and 64.7% were males. Multivariate analysis showed that PCT and RPR were independent risk factors for 28-day prognosis in sepsis patients. The area under the ROC curve of PCT and RPR were 0.894 and 0.861, respectively, and the cutoff values were 27.04 and 0.12, respectively. Survival curve analysis showed that PCT and RPR were associated with the 28-day prognosis of patients, and the combination of PCT and RPR had a better predictive effect. Conclusions: PCT and RPR are independent predictors of sepsis prognosis. The combined application of PCT and RPR (PCT-RPR) can further improve the predictive performance and provide a reference for the clinical diagnosis, treatment, and prognosis evaluation of sepsis patients.

Identifiers

PMID39161851
PMCPMC11333126

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