Evidence map›Paper›PMID 36448528›Full record

ArticleThe Journal of international medical research2022

Is SARS-CoV-2 viral load a predictor of mortality in COVID-19 acute respiratory distress syndrome patients?

Lerzan Dogan, Aytaj Allahverdiyeva, Mustafa Önel, Sevim Meşe, Esra Saka Ersin, İlkay Anaklı, Zeynep Tuğçe Sarıkaya, Rehile Zengin, Bulent Gucyetmez, Neval Yurtturan Uyar and 5 more

Abstract read
In one paragraph

Article in The Journal of international medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

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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

15 authors.

Lerzan DoganDepartment of Medical Microbiology, Istanbul University, Istanbul, Turkey.ORCID 0000-0002-1456-4072
Aytaj AllahverdiyevaDepartment of Medical Microbiology, Istanbul University, Istanbul, Turkey.
Mustafa ÖnelDepartment of Medical Microbiology, Istanbul University, Istanbul, Turkey.
Sevim MeşeDepartment of Medical Microbiology, Istanbul University, Istanbul, Turkey.
Esra Saka ErsinDepartment of Anesthesiology and Reanimation, Istanbul University, Istanbul, Turkey.
İlkay AnaklıDepartment of Anesthesiology and Reanimation, Istanbul University, Istanbul, Turkey.
Zeynep Tuğçe SarıkayaDepartment of Anesthesiology and Reanimation, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
Rehile ZenginDepartment of Infectious Disease and Clinical Microbiology, Acibadem Altunizade Hospital, Istanbul, Turkey.
Bulent GucyetmezDepartment of Anesthesiology and Reanimation, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
Neval Yurtturan UyarDepartment of Medical Microbiology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
Perihan Ergin ÖzcanDepartment of Anesthesiology and Reanimation, Istanbul University, Istanbul, Turkey.
Ayse Sesin KocagözDepartment of Infectious Disease and Clinical Microbiology, Acibadem Altunizade Hospital, Istanbul, Turkey.
Hayriye Kırkoyun UysalDepartment of Medical Microbiology, Istanbul University, Istanbul, Turkey.
İbrahim Ozkan AkinciIntensive Care Unit, Acibadem Altunizade Hospital, Istanbul, Turkey.
Ali AğaçfidanDepartment of Medical Microbiology, Istanbul University, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveViral load varies during infection and is higher during the initial stages of disease. Given the importance of the intensive care unit (ICU) in the late stages of COVID-19 infection, analyzing cycle threshold values to detect viral load upon ICU admission can be a clinically valuable tool for identifying patients with the highest mortality risk.

methodsThis was a retrospectively designed study. Patients older than 18 years who tested positive for SARS-CoV-2 PCR and had a PaO

resultsTwo hundred patients were included in the study. In non-survivors, age, relevant ICU admission scores, and procalcitonin levels were significantly higher whereas PaO

conclusionViral load at ICU admission has significant prognostic value. In combination with age, comorbidities, and severity scores, viral load may assist clinicians in identifying individuals who need more intensive monitoring. Increased awareness may improve outcomes by allowing the more effective monitoring and treatment of patients. More prospective studies are needed to determine how a high viral load worsens disease and how to avoid irreversible results.

Indexed as

COVID-19Respiratory Distress SyndromeHumansRetrospective StudiesSARS-CoV-2Viral Loadcoronavirus diseasecycle thresholdInflammationintensive care unitmortalityviral load

Identifiers

PMID36448528
PMCPMC9716617

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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.