Evidence map›Paper›PMID 34193271›Full record

ArticleBMC research notes2021

Presepsin values and prognostic nutritional index predict mortality in intensive care unit patients with sepsis: a pilot study.

Yuichiro Shimoyama, Osamu Umegaki, Noriko Kadono, Toshiaki Minami

Abstract read
In one paragraph

Article in BMC research notes, 2021. 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
–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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Prognostic Nutritional Index and Urea-albumin Ratio: Novel Mortality Predictors for Critically Ill Sepsis Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
  4. Observational
  5. Article
  6. Article
  7. Development and validation of a predictive model for in-hospital mortality from perioperative bacteremia in gastrointestinal surgery.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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.

Yuichiro ShimoyamaDepartment of Anesthesiology, Osaka Medical College, Intensive Care Unit, Osaka Medical College Hospital, 2-7 Daigaku-machi, Takatsuki, Osaka, 569-8686, Japan. shimocchiliebesfreud512@yahoo.co.jp.
Osamu UmegakiDepartment of Anesthesiology, Osaka Medical College, Intensive Care Unit, Osaka Medical College Hospital, 2-7 Daigaku-machi, Takatsuki, Osaka, 569-8686, Japan.
Noriko KadonoDepartment of Anesthesiology, Osaka Medical College, Intensive Care Unit, Osaka Medical College Hospital, 2-7 Daigaku-machi, Takatsuki, Osaka, 569-8686, Japan.
Toshiaki MinamiDepartment of Anesthesiology, Osaka Medical College, Osaka Medical College Hospital, Takatsuki, Osaka, 569-8686, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSepsis is a major cause of mortality for critically ill patients. This study aimed to determine whether presepsin values can predict mortality in patients with sepsis.

resultsReceiver operating characteristic (ROC) curve analysis, Log-rank test, and multivariate analysis identified presepsin values and Prognostic Nutritional Index as predictors of mortality in sepsis patients. Presepsin value on Day 1 was a predictor of early mortality, i.e., death within 7 days of ICU admission; ROC curve analysis revealed an AUC of 0.84, sensitivity of 89%, and specificity of 77%; and multivariate analysis showed an OR of 1.0007, with a 95%CI of 1.0001-1.0013 (p = 0.0320).

Indexed as

Nutrition AssessmentSepsisBiomarkersHumansIntensive Care UnitsLipopolysaccharide ReceptorsPeptide FragmentsPilot ProjectsPrognosisROC CurveBiomarkersLipopolysaccharide ReceptorsPeptide Fragmentspresepsin protein, humanInflammation-based prognostic scoreMortalityPresepsinSepsisSepsis-3 definition

Identifiers

PMID34193271
PMCPMC8243529

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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.