Evidence map›Paper›PMID 33315349›Full record

ArticleTurkish journal of medical sciences2021

The predictive and diagnostic accuracy of long pentraxin-3 in COVID-19 pneumonia

Ahmed Bilal Genç, Selçuk Yaylacı, Hamad Dheir, Ahmed Cihad Genç, Kubilay İşsever, Deniz Çekiç, Havva Kocayiğit, Erdem Çokluk, Alper Karacan, Mehmet Ramazan Şekeroğlu and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Turkish journal of medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
1.7field-weighted citation impact, top 15% 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, 3 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  3. Novel inflammatory biomarkers in the prognosis of COVID-19.Therapeutic advances in respiratory disease
    Pooled it
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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

12 authors at 2 institutions in 2 countries.

Ahmed Bilal GençDepartment of Internal Medicine, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0002-1607-6355
Selçuk YaylacıDepartment of Internal Medicine, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0002-6768-7973
Hamad DheirDepartment of Internal Medicine, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0002-3569-6269
Ahmed Cihad GençDepartment of Internal Medicine, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0002-7725-707X
Kubilay İşseverDepartment of Internal Medicine, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0002-1376-1488
Deniz ÇekiçDepartment of Internal Medicine, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0002-7114-9334
Havva KocayiğitDepartment of Intensive Care, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0002-8719-7031
Erdem ÇoklukDepartment of Biochemistry, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0002-6205-5109
Alper KaracanDepartment of Radiology, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0001-8930-9546
Mehmet Ramazan ŞekeroğluDepartment of Biochemistry, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0001-8383-6740
Hande Toptan ÇakarDepartment of Biochemistry, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0001-6893-8490
Ertuğrul GüçlüDepartment of Microbiology, Faculty of Medicine, Sakarya University, Sakarya, TurkeyORCID 0000-0003-2860-2831
Sakarya University · TRCARE USA · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: The purpose of this study is to evaluate serum pentraxin-3 (PTX-3) levels in Sars-CoV-2 virus infection (COVID-19) patients and to investigate whether PTX-3 predicts the disease prognosis. Materials and methods: This study was conducted on 88 confirmed COVID-19 patients who were hospitalized due to symptomatic pneumonia between April 15 and August 15, 2020. The patients were divided into two groups as survived patients and non-survived patients. Both groups were compared according to demographic features, comorbid conditions and measurement of the PTX-3 and other laboratory parameters of the patients. Results: Of 88 patients with COVID-19, 59 (67%) were discharged with complete cure and 29 (33%) resulted in death. 46 (52.3%) of the patients were men. PTX-3 median value (IQR) was 3.66 ng/mL (0.9–27.9) in all patients, 3.3 ng/mL (0.9–27.9) in survivors and 3.91 ng/mL (1.9–23.2) in nonsurvivors which was significantly higher (P = 0.045). As a receiver operating characteristic curve analysis the cut-off value of PTX-3 for predicting mortality in patients was 3.73 with 65% sensitivity and 65% specificity (AUC: 0.646, 95% CI: 0.525– 0.767, P = 0.045). Also, we found significant cut-off values with respect to D-dimer, D-dimer/PTX-3, high-sensitivity troponin, high- sensitivity troponin/PTX-3, lymphocyte, PTX-3/lymphocyte, procalcitonin, procalcitonin/PTX-3, CRP, and CRP/PTX-3 (P < 0.05). Conclusion: In this study, as far as we know, for the first time, we have shown PTX-3 as the new mortality biomarker for COVID-19 disease.

Indexed as

AdultAgedAged, 80 and overArea Under CurveBiomarkersCOVID-19C-Reactive ProteinFemaleFibrin Fibrinogen Degradation ProductsHumansLymphocyte CountMaleMiddle AgedMortalityPentraxinsProcalcitoninBiomarkersC-Reactive ProteinFibrin Fibrinogen Degradation Productsfibrin fragment DPentraxinsProcalcitoninSerum Amyloid P-ComponentTroponinCOVID-19disease progressionmortalitypentraxinSARS-CoV-2

Identifiers

PMID33315349
PMCPMC8219078
OpenAlexW3111243178

What OpenQuestion holds

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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.