Evidence map›Paper›PMID 33003692›Full record

ArticleTurkish journal of medical sciences2021

Do initial hematologic indices predict the severity of COVID-19 patients?

Ali Asan, Yasemin Üstündağ, Nizameddin Koca, Abdullah Şimşek, Halil Erkan Sayan, Hülya Parildar, Burcu Dalyan Cilo, Kağan Huysal

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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 23 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

23 citing papers in PubMed, 5 syntheses or guidelines 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

8 authors.

Ali AsanDepartment of Infectious Diseases and Clinical Microbiology, University of Health Sciences, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, TurkeyORCID 0000-0002-8856-7356
Yasemin ÜstündağDepartment of Clinical Biochemistry, University of Health Sciences, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, TurkeyORCID 0000-0003-2415-0372
Nizameddin KocaDepartment of Internal Medicine, University of Health Sciences, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, TurkeyORCID 0000-0003-1457-4366
Abdullah ŞimşekDepartment of Pulmonary Diseases, University of Health Sciences, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, TurkeyORCID 0000-0003-0588-3888
Halil Erkan SayanDepartment of Anesthesiology and Reanimation, University of Health Sciences, Bursa Yüksek İhtisas Training and Research Hospital, 6 Bursa, TurkeyORCID 0000-0003-3943-5549
Hülya ParildarDepartment of Family Medicine, University of Health Sciences, Tepecik Trainingand Research Hospital , İzmir, TurkeyORCID 0000-0002-4921-6588
Burcu Dalyan CiloDepartment of Microbiology, University of Health Sciences, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, TurkeyORCID 0000-0002-6158-9360
Kağan HuysalDepartment of Clinical Biochemistry, University of Health Sciences, Bursa Yüksek İhtisas Training and Research Hospital, Bursa, TurkeyORCID 0000-0003-3142-5944

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: In this study, we aimed to evaluate the initial hematological findings analyzed on admission in confirmed COVID-19 patients who were transferred to the intensive care unit (ICU), to predict possible hematological indices. Materials and methods: Initial neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR), red cell distribution width to platelet ratio (RPR), mean platelet volume to platelet ratio, and lymphocyte multiplied by platelet count (LYM × PLT), of 695 patients with laboratory-confirmed COVID-19 were investigated and comparisons were made between the mild/moderate and severe groups. Results: The proportion of COVID-19 cases admitted to the ICU was 3.9%. The median age of patients admitted to the ICU was significantly higher than those who were not; [68.5 (interquartile range (IQR); 21.5] years vs. 41.0 (IQR; 15.7) years; P < 0.001. Severe cases had higher NLR (6.6 vs. 2.4; P < 0.001), and MLR (0.40 vs. 0.28; P = 0.004) and lower PLR (180.0 vs. 129.0; P < 0.001) compared to that of mild or moderate patients. Among all of the parameters, the ROC curve of NLR gave us the best ability to distinguish serious patients at an early stage (AUC = 0. 819, 95% confidence interval 0.729–0.910; P < 0.001). Conclusion: These data showed that age, initial NLR, PLR, and LYM × PLT were associated with the severity of COVID-19 disease and patients’ need for the ICU. Therefore, initial hemogram parameters may be essential to predict the prognosis of COVID-19 patients.

Indexed as

AdultAgedAge FactorsCOVID-19Disease ProgressionFemaleHumansIntensive Care UnitsLymphocyte CountMaleMean Platelet VolumeMiddle AgedNeutrophilsPlatelet CountRetrospective StudiesSeverity of Illness IndexCOVID-19Intensive care unitleukocytesneutrophilsplatelets

Identifiers

PMID33003692
PMCPMC7991886

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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.