Evidence map›Paper›PMID 35384959›Full record

ArticleRevista do Instituto de Medicina Tropical de Sao Paulo2022

Usefulness of laboratory parameters and chest CT in the early diagnosis of COVID-19.

Ayfer Colak, Dilek Oncel, Zeynep Altın, Melda Turken, Fatma Demet Arslan, Veli Iyilikci, Nisel Yilmaz, Guray Oncel, Sukran Kose

Open access · diamondAbstract read
In one paragraph

Article in Revista do Instituto de Medicina Tropical de Sao Paulo, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

9 authors at 2 institutions in 2 countries.

Ayfer ColakUniversity of Health Sciences, Tepecik Training and Research Hospital, Department of Medical Biochemistry, Izmir, Turkey.ORCID http://orcid.org/0000-0003-4910-0128
Dilek OncelUniversity of Health Sciences, Tepecik Training and Research Hospital, Department of Radiology, Izmir, Turkey.
Zeynep AltınUniversity of Health Sciences, Tepecik Training and Research Hospital, Department of Internal Medicine, Izmir, Turkey.
Melda TurkenUniversity of Health Sciences, Tepecik Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology, Izmir, Turkey.
Fatma Demet ArslanUniversity of Health Sciences, Tepecik Training and Research Hospital, Department of Medical Biochemistry, Izmir, Turkey.
Veli IyilikciUniversity of Health Sciences, Tepecik Training and Research Hospital, Department of Medical Biochemistry, Izmir, Turkey.
Nisel YilmazUniversity of Health Sciences, Tepecik Training and Research Hospital, Department of Medical Microbiology, Izmir, Turkey.
Guray OncelBakircay University, Cigli Training and Research Hospital, Department of Radiology, Izmir, Turkey.
Sukran KoseUniversity of Health Sciences, Tepecik Training and Research Hospital, Department of Infectious Diseases and Clinical Microbiology, Izmir, Turkey.
Izmir University · TRAzerbaijan University · AZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study, the importance of laboratory parameters and CT findings in the early diagnosis of COVID-19 was investigated. To this end, 245 patients admitted between April 1st, and May 30th, 2020 with suspected COVID-19 were enrolled. The patients were divided into three groups according to chest CT findings and RT-PCR results. The non-COVID-19 group consisted of 71 patients with negative RT-PCR results and no chest CT findings. Ninety-five patients with positive RT-PCR results and negativechest CT findings were included in the COVID-19 group; 79 patients with positive RT-PCR results and chest CT findings consistent with COVID-19 manifestations were included in COVID-19 pneumonia group. Chest CT findings were positive in 45% of all COVID-19 patients. Patients with positive chest CT findings had mild (n=30), moderate (n=21) andor severe (n=28) lung involvement. In the COVID-19 group, CRP levels and the percentage of monocytes increased significantly. As disease progressed from mild to severe, CRP, LDH and ferritin levels gradually increased. In the ROC analysis, the area under the curve corresponding to the percentage value of monocytes (AUC=0.887) had a very good accuracy in predicting COVID-19 cases. The multinomial logistic regression analysis showed that CRP, LYM and % MONO were independent factors for COVID-19. Furthermore, the chest CT evaluation is a relevant tool in patients with clinical suspicion of COVID-19 pneumonia and negative RT-PCR results. In addition to decreased lymphocyte count, the increased percentage of monocytes may also guide the diagnosis.

Indexed as

COVID-19Early DiagnosisHumansRetrospective StudiesSARS-CoV-2Tomography, X-Ray Computed

Identifiers

PMID35384959
PMCPMC8993152
OpenAlexW4226405656

What OpenQuestion holds

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LicenceCC BY-NC
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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.