Evidence map›Paper›PMID 32481464›Full record

Observational studyMedicine2020

Biomarker combination and SOFA score for the prediction of mortality in sepsis and septic shock: A prospective observational study according to the Sepsis-3 definitions.

Juhyun Song, Sungwoo Moon, Dae Won Park, Han-Jin Cho, Joo Yeong Kim, Jonghak Park, Jae Hyung Cha

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Nucleated Red Blood Cells for Predicting Mortality in Intensive Care Unit Patients With Sepsis.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Optical Bionanosensors for Sepsis Diagnostics.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  15. Article
  16. Developing Augmented Pro-SOFA and Pro-SAPS Models by Integrating Biomarkers PCT, NLR, and CRP with SOFA and SAPS-III Scores.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  17. The Sepsis Score Dilemma: Balancing Precision and Utility.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  18. Article
  19. Review
  20. Review
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

7 authors at 1 institution in 2 countries.

Juhyun SongDepartment of Emergency Medicine, Korea University Ansan Hospital.ORCID 0000-0001-6217-7360
Sungwoo MoonDepartment of Emergency Medicine, Korea University Ansan Hospital.ORCID 0000-0003-3947-2673
Dae Won ParkDivision of Infectious Diseases, Department of Internal Medicine, Korea University Ansan Hospital, Ansan.
Han-Jin ChoDepartment of Emergency Medicine, Korea University Ansan Hospital.
Joo Yeong KimDepartment of Emergency Medicine, Korea University Ansan Hospital.
Jonghak ParkDepartment of Emergency Medicine, Korea University Ansan Hospital.
Jae Hyung ChaMedical Science Research Center, Korea University Ansan Hospital, Ansan, Republic of Korea.
Korea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers are valuable tools for the prediction of mortality in patients with sepsis. However, the use of a single biomarker to predict patient outcomes is challenging owing to the complexity and redundancy of the immune response to infections.We aimed to conduct a prospective observational analysis to investigate the prognostic value of pentraxin 3, interleukin 6, procalcitonin, and lactate combined in predicting the 28-day mortality rate in patients with sepsis or septic shock (n = 160; sepsis, 78; sepsis shock, 82). Two methods (the frequency sum of values above the cutoff, and the multivariate logistic regression model) were used to assess the prognostic value of the biomarker combination.In the receiver operating characteristic curve analyses, the combination of the 4 biomarkers was better than the Sequential Organ Failure Assessment (SOFA) score in predicting the 28-day mortality rate, regardless of whether the frequency sum of values above the cutoff or the multivariate logistic model was used for the analysis. The addition of the SOFA score to the biomarker combination did not result in a better performance for the prediction of mortality.The combined biomarker approach showed good performance in predicting 28-day all-cause mortality among patients diagnosed with either sepsis or septic shock according to the Sepsis-3 definitions. Furthermore, it was superior to the SOFA score in predicting mortality.

Indexed as

Organ Dysfunction ScoresAgedAged, 80 and overBiomarkersC-Reactive ProteinFemaleHumansInterleukin-6LactatesMalePentraxinsPredictive Value of TestsProcalcitoninPrognosisProspective StudiesSepsisBiomarkersC-Reactive ProteinInterleukin-6LactatesPentraxinsProcalcitoninSerum Amyloid P-Component

Identifiers

PMID32481464
PMCPMC12245219
OpenAlexW3032106664

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.