Evidence map›Paper›PMID 38057335›Full record

ArticleScientific reports2023

Variation in presepsin and thrombomodulin levels for predicting COVID-19 mortality.

Azusa Yamazaki, Yoko Nukui, Takahiro Kameda, Ryoichi Saito, Yuki Koda, Naoya Ichimura, Shuji Tohda, Ryunosuke Ohkawa

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
1.4field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Immunity and Coagulation in COVID-19.International journal of molecular sciences · 2024
    Review
  4. 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

8 authors at 1 institution in 1 country.

Azusa YamazakiDepartment of Clinical Bioanalysis and Molecular Biology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Yoko NukuiDepartment of Infection Control and Prevention, Tokyo Medical and Dental University (TMDU) Hospital, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Takahiro KamedaDepartment of Clinical Bioanalysis and Molecular Biology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Ryoichi SaitoDepartment of Molecular Microbiology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Yuki KodaClinical Laboratory, Tokyo Medical and Dental University (TMDU) Hospital, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Naoya IchimuraClinical Laboratory, Tokyo Medical and Dental University (TMDU) Hospital, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Shuji TohdaClinical Laboratory, Tokyo Medical and Dental University (TMDU) Hospital, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Ryunosuke OhkawaDepartment of Clinical Bioanalysis and Molecular Biology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan. ohkawa.alc@tmd.ac.jp.
Tokyo Medical and Dental University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease (COVID-19) has caused extensive mortality globally; therefore, biomarkers predicting the severity and prognosis of COVID-19 are essential. This study aimed to evaluate the application of presepsin (P-SEP) and thrombomodulin (TM), which are biomarkers of sepsis and endothelial dysfunction, respectively, in the prognosis of COVID-19. Serum P-SEP and TM levels from COVID-19 patients (n = 183) were measured. Disease severity was classified as mild, moderate I, moderate II, or severe based on hemoglobin oxygen saturation and the history of intensive care unit transfer or use of ventilation at admission. Patients in the severe group were further divided into survivors and non-survivors. P-SEP and TM levels were significantly higher in the severe group than those in the mild group, even after adjusting for creatinine values. In addition, TM levels were significantly higher in non-survivors than in survivors. Changes in the P-SEP levels at two time points with an interval of 4.1 ± 2.2 days were significantly different between the survivors and non-survivors. In conclusion, TM and continuous P-SEP measurements may be useful for predicting mortality in patients with COVID-19. Moreover, our data indicate that P-SEP and TM values after creatinine adjustment could be independent predictive markers, apart from renal function.

Indexed as

COVID-19SepsisBiomarkersCreatinineHumansLipopolysaccharide ReceptorsPeptide FragmentsPrognosisProspective StudiesThrombomodulinBiomarkersCreatinineLipopolysaccharide ReceptorsPeptide Fragmentspresepsin protein, humanTHBD protein, humanThrombomodulin

Identifiers

PMID38057335
PMCPMC10700539
OpenAlexW4389392771

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.