Evidence map›Paper›PMID 35750778›Full record

Observational studyScientific reports2022

Dynamic changes in heparin-binding protein as a prognostic biomarker for 30-day mortality in sepsis patients in the intensive care unit.

Qing-Li Dou, Jiangping Liu, Wenwu Zhang, Ching-Wei Wang, Yanan Gu, Na Li, Rui Hu, Wan-Ting Hsu, Amy Huaishiuan Huang, Hoi Sin Tong and 4 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Optical Bionanosensors for Sepsis Diagnostics.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Increasing Rate of FatalMicroorganisms · 2024
    Article
  13. The potential role of heparin-binding protein in neonatal sepsis: research progress.Frontiers in cellular and infection microbiology · 2024
    Review
  14. Observational
  15. Article
  16. Observational
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

14 authors at 6 institutions in 4 countries.

Qing-Li Dou *Department of Emergency Medicine, The People's Hospital of Baoan Shenzhen, Shenzhen, China.
Jiangping Liu *Department of Emergency Medicine, The People's Hospital of Baoan Shenzhen, Shenzhen, China.
Wenwu ZhangDepartment of Emergency Medicine, The People's Hospital of Baoan Shenzhen, Shenzhen, China.
Ching-Wei WangHealth Data Science Research Group, Department of Emergency Medicine, The Centre for Intelligent Healthcare, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan.
Yanan GuDepartment of Emergency Medicine, The People's Hospital of Baoan Shenzhen, Shenzhen, China.
Na LiDepartment of Emergency Medicine, The People's Hospital of Baoan Shenzhen, Shenzhen, China.
Rui HuDepartment of Emergency Medicine, The People's Hospital of Baoan Shenzhen, Shenzhen, China.
Wan-Ting HsuDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Amy Huaishiuan HuangHealth Data Science Research Group, Department of Emergency Medicine, The Centre for Intelligent Healthcare, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan.
Hoi Sin TongLi Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Tzu-Chun HsuHealth Data Science Research Group, Department of Emergency Medicine, The Centre for Intelligent Healthcare, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan.
Cheng-An HsuDepartment of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Jun XuDepartment of Emergency Medicine, Peking Union Medical College Hospital, Beijing, 100730, China. xujunfree@126.com.
Chien-Chang LeeHealth Data Science Research Group, Department of Emergency Medicine, The Centre for Intelligent Healthcare, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan. cclee100@gmail.com.
National Taiwan University Hospital · TWShenzhen Bao'an District People's Hospital · CNHarvard University · USPeking Union Medical College Hospital · CNShenzhen Second People's Hospital · CNUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heparin-binding protein (HBP) has been shown to be a robust predictor of the progression to organ dysfunction from sepsis, and we hypothesized that dynamic changes in HBP may reflect the severity of sepsis. We therefore aim to investigate the predictive value of baseline HBP, 24-h, and 48-h HBP change for prediction of 30-day mortality in adult patients with sepsis. This is a prospective observational study in an intensive care unit of a tertiary center. Patients aged 20 years or older who met SEPSIS-3 criteria were prospectively enrolled from August 2019 to January 2020. Plasma levels of HBP were measured at admission, 24 h, and 48 h and dynamic changes in HBP were calculated. The Primary endpoint was 30-day mortality. We tested whether the biomarkers could enhance the predictive accuracy of a multivariable predictive model. A total of 206 patients were included in the final analysis. 48-h HBP change (HBPc-48 h) had greater predictive accuracy of area under the curve (AUC: 0.82), followed by baseline HBP (0.79), PCT (0.72), lactate (0.71), and CRP (0.65), and HBPc-24 h (0.62). Incorporation of HBPc-48 h into a clinical prediction model significantly improved the AUC from 0.85 to 0.93. HBPc-48 h may assist clinicians with clinical outcome prediction in critically ill patients with sepsis and can improve the performance of a prediction model including age, SOFA score and Charlson comorbidity index.

Indexed as

Models, StatisticalSepsisAdultAntimicrobial Cationic PeptidesBiomarkersBlood ProteinsHumansIntensive Care UnitsPrognosisRetrospective StudiesROC CurveAntimicrobial Cationic PeptidesAZU1 protein, humanBiomarkersBlood Proteins

Identifiers

PMID35750778
PMCPMC9232494
OpenAlexW4283359519

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.