Evidence map›Paper›PMID 33570194›Full record

ArticleJournal of medical virology2021

Efficacy of copeptin in distinguishing COVID-19 pneumonia from community-acquired pneumonia.

Mutlu Kuluöztürk, Erdal İn, Selda Telo, Ercan Karabulut, Ayşegül Altıntop Geçkil

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A New Biomarker Copeptin in Determining Disease Severity in COVID-19.Infectious diseases & clinical microbiology · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Observational
  10. Article
  11. 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

5 authors at 3 institutions in 1 country.

Mutlu KuluöztürkDepartment of Pulmonary Medicine, School of Medicine, Firat University, Elazig, Turkey.
Erdal İnDepartment of Pulmonary Medicine, School of Medicine, Malatya Turgut Ozal University, Malatya, Turkey.ORCID https://orcid.org/0000-0002-8807-5853
Selda TeloDepartment of Biochemistry, Faculty of Dentistry, Firat University, Elazig, Turkey.
Ercan KarabulutDepartment of Medical Pharmacology, School of Medicine, Ankara Yildirim Beyazit Üniversity, Ankara, Turkey.
Ayşegül Altıntop GeçkilDepartment of Pulmonary Medicine, School of Medicine, Malatya Turgut Ozal University, Malatya, Turkey.
Fırat University · TRMalatya Turgut Özal Üniversitesi · TRAnkara Yıldırım Beyazıt University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical symptoms of community-acquired pneumonia (CAP) and coronavirus disease 2019 (COVID-19)-associated pneumonia are similar. Effective predictive markers are needed to differentiate COVID-19 pneumonia from CAP in the current pandemic conditions. Copeptin, a 39-aminoacid glycopeptide, is a C-terminal part of the precursor pre-provasopressin (pre-proAVP). The activation of the AVP system stimulates copeptin secretion in equimolar amounts with AVP. This study aims to determine serum copeptin levels in patients with CAP and COVID-19 pneumonia and to analyze the power of copeptin in predicting COVID-19 pneumonia. The study consists of 98 patients with COVID-19 and 44 patients with CAP. The basic demographic and clinical data of all patients were recorded, and blood samples were collected. The receiver operating characteristic (ROC) curve was generated and the area under the ROC curve (AUC) was measured to evaluate the discriminative ability. Serum copeptin levels were significantly higher in COVID-19 patients compared to CAP patients (10.2 ± 4.4 ng/ml and 7.1 ± 3.1 ng/ml; p < .001). Serum copeptin levels were positively correlated with leukocyte, neutrophil, and platelet count (r = -.21, p = .012; r = -.21, p = .013; r = -.20, p = .018; respectively). The multivariable logistic regression analysis revealed that increased copeptin (odds ratio [OR] = 1.183, 95% confidence interval [CI], 1.033-1.354; p = .015) and CK-MB (OR = 1.052, 95% CI, 1.013-1.092; p = .008) levels and decreased leukocyte count (OR = 0.829, 95% CI, 0.730-0.940; p = .004) were independent predictors of COVID-19 pneumonia. A cut-off value of 6.83 ng/ml for copeptin predicted COVID-19 with a sensitivity of 78% and a specificity of 73% (AUC: 0.764% 95 Cl: 0.671-0.856, p < .001). Copeptin could be a promising and useful biomarker to be used to distinguish COVID-19 patients from CAP patients.

Indexed as

SARS-CoV-2AdultAgedAged, 80 and overBiomarkersCommunity-Acquired InfectionsCOVID-19FemaleGlycopeptidesHumansLogistic ModelsMaleMiddle AgedPneumonia, BacterialBiomarkerscopeptinsGlycopeptidesbiochemical analysiscoronaviruspathogenesisresearch and analysis methodsrespiratory tractSARS coronavirusvirus classification

Identifiers

PMID33570194
PMCPMC8013559
OpenAlexW3129092885

What OpenQuestion holds

Textmetadata
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.