Evidence map›Paper›PMID 37261117›Full record

ArticleFrontiers in medicine2023

A specific combination of laboratory data is associated with overweight lungs in patients with COVID-19 pneumonia at hospital admission: secondary cross-sectional analysis of a randomized clinical trial.

Pedro L Silva, Fernanda F Cruz, Camila M Martins, Jacob Herrmann, Sarah E Gerard, Yi Xin, Maurizio Cereda, Lorenzo Ball, Paolo Pelosi, Patricia R M Rocco

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04561219 (Nitazoxanide for Moderate to Severe COVID-19 Pneumonia), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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.

NCT04561219 phase2completednot on this map

Nitazoxanide for Moderate to Severe COVID-19 Pneumonia: a Multicenter, Randomized, Placebo-controlled, Double-Blind Clinical Trial

TypeinterventionalSponsorUniversidade Federal do Rio de JaneiroRan2020 to 2020Enrolled500ConditionsCovid19, Corona Virus Infection, Pneumonia, ViralArmsNitazoxanide, Placebo
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

10 authors at 6 institutions in 3 countries.

Pedro L SilvaLaboratory of Pulmonary Investigation, Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Fernanda F CruzLaboratory of Pulmonary Investigation, Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Camila M MartinsAAC&T Research Consulting LTDA, Curitiba, Brazil.
Jacob HerrmannRoy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, United States.
Sarah E GerardRoy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, United States.
Yi XinDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Maurizio CeredaDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States.
Lorenzo BallDepartment of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.
Paolo PelosiDepartment of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.
Patricia R M RoccoLaboratory of Pulmonary Investigation, Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Universidade Federal do Rio de Janeiro · BRUniversity of Iowa · USMassachusetts General Hospital · USOspedale Policlinico San Martino · ITUniversity of Genoa · ITUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung weight may be measured with quantitative chest computed tomography (CT) in patients with COVID-19 to characterize the severity of pulmonary edema and assess prognosis. However, this quantitative analysis is often not accessible, which led to the hypothesis that specific laboratory data may help identify overweight lungs. Methods: This cross-sectional study was a secondary analysis of data from SARITA2, a randomized clinical trial comparing nitazoxanide and placebo in patients with COVID-19 pneumonia. Adult patients (≥18 years) requiring supplemental oxygen due to COVID-19 pneumonia were enrolled between April 20 and October 15, 2020, in 19 hospitals in Brazil. The weight of the lungs as well as laboratory data [hemoglobin, leukocytes, neutrophils, lymphocytes, C-reactive protein, D-dimer, lactate dehydrogenase (LDH), and ferritin] and 47 additional specific blood biomarkers were assessed. Results: Ninety-three patients were included in the study: 46 patients presented with underweight lungs (defined by ≤0% of excess lung weight) and 47 patients presented with overweight lungs (>0% of excess lung weight). Leukocytes, neutrophils, D-dimer, and LDH were higher in patients with overweight lungs. Among the 47 blood biomarkers investigated, interferon alpha 2 protein was higher and leukocyte inhibitory factor was lower in patients with overweight lungs. According to CombiROC analysis, the combinations of D-dimer/LDH/leukocytes, D-dimer/LDH/neutrophils, and D-dimer/LDH/leukocytes/neutrophils achieved the highest area under the curve with the best accuracy to detect overweight lungs. Conclusion: The combinations of these specific laboratory data: D-dimer/LDH/leukocytes or D-dimer/LDH/neutrophils or D-dimer/LDH/leukocytes/neutrophils were the best predictors of overweight lungs in patients with COVID-19 pneumonia at hospital admission. Clinical trial registration: Brazilian Registry of Clinical Trials (REBEC) number RBR-88bs9x and ClinicalTrials.gov number NCT04561219.

Indexed as

biomarkerscomputed tomographyCOVID-19leukocyteslung weightreceiver operating curve

Identifiers

PMID37261117
PMCPMC10228825
OpenAlexW4376645945

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.