Evidence map›Paper›PMID 35382199›Full record

ArticleCureus2022

Relationship of Computed Tomography Severity Score With Patient Characteristics and Survival in Hypoxemic COVID-19 Patients.

Uday Yanamandra, Shivendra Shobhit, Debashish Paul, Bhavya Aggarwal, Praneet Kaur, Gayatri Duhan, Anurag Singh, Rajagopal Srinath, Puneet Saxena, Anil S Menon

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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

10 authors at 3 institutions in 2 countries.

Uday YanamandraInternal Medicine, Armed Forces Medical College, Pune, IND.
Shivendra ShobhitAnesthesiology and Critical Care, Armed Forces Medical College, Pune, IND.
Debashish PaulAnesthesiology and Critical Care, Armed Forces Medical College, Pune, IND.
Bhavya AggarwalGeneral Practice, Armed Forces Medical Services, New Delhi, IND.
Praneet KaurGeneral Practice, Armed Forces Medical Services, New Delhi, IND.
Gayatri DuhanGeneral Practice, Armed Forces Medical Services, New Delhi, IND.
Anurag SinghGeneral Practice, Armed Forces Medical Services, New Delhi, IND.
Rajagopal SrinathInternal Medicine, Armed Forces Medical College, Pune, IND.
Puneet SaxenaPulmonology, Army Hospital (Research And Referral; R&R), New Delhi, IND.
Anil S MenonInternal Medicine, Armed Forces Medical College, Pune, IND.
Armed Forces Medical College · BDArmed Forces Medical College · INArmy Hospital Research and Referral · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Computed tomography (CT) scans and CT severity scores (CTSS) are widely used to assess the severity and prognosis in coronavirus disease 2019 (COVID-19). CTSS has performed well as a predictor in differentiating severe from non-severe cases. However, it is not known if CTSS performs similarly in hospitalized severe cases with hypoxia at admission. Methods We conducted a retrospective comparative study at a COVID-care center from Western India between 25th April and 31st May 2021, enrolling all consecutive severe COVID-19 patients with hypoxemia (peripheral oxygen saturation < 94%). Neutrophil-lymphocyte ratio (NLR), C-reactive protein (CRP), interleukin-6 (IL-6), lactate dehydrogenase (LDH), D-dimer, ferritin, and CT thorax were done within 24h of admission before being initiated on any anti-COVID-19 therapy. CTSS was calculated by visual assessment and categorized into three severity categories and was correlated with laboratory markers and overall survival (OS). Statistical analysis was done using John's Macintosh Project (JMP) 15.0.0 ver. 3.0.0 (Cary, North Carolina). Results The median age of the study population (n-298) was 59 years (24-95) with a male preponderance (61.41%, n=183). The 15 and 30-day survivals were 67.64% and 59.90%, respectively. CTSS did not correlate with age, gender, time from vaccination, symptoms, or comorbidities but had a significant though weak correlation with LDH (p=0.009), D-dimer (p=0.006), and NLR (p=0.019). Comparing demographic and laboratory aspects using CT severity categories, only NLR (p=0.0146) and D-dimer (p=0.0006) had significant differences. The 15d-OS of mild, moderate, and severe CT categories were 88.62%, 70.39%, and 52.62%, respectively, while 30d-OS of three categories were 59.08%, 63.96%, and 49.12%, respectively. Conclusion Among hospitalized severe COVID-19 patients with hypoxemia at admission, CT severity categories correlate well with outcomes but not inflammatory markers at admission.

Indexed as

computed tomographycovid-19crpct severity scored-dimerinflammatory markersldhneutrophil-lymphocyte ratio

Identifiers

PMID35382199
PMCPMC8977105
OpenAlexW4214815982

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.