Evidence map›Paper›PMID 33662842›Full record

ArticleEuropean journal of radiology2021

Prognostic value of CT integrated with clinical and laboratory data during the first peak of the COVID-19 pandemic in Northern Italy: A nomogram to predict unfavorable outcome.

Enzo Angeli, Serena Dalto, Stefano Marchese, Lucia Setti, Manuela Bonacina, Francesca Galli, Eliana Rulli, Valter Torri, Cinzia Monti, Roberta Meroni and 3 more

Abstract read
In one paragraph

Article in European journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Imaging of COVID-19.Seminars in roentgenology · 2022
    Article
  8. Review
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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

13 authors.

Enzo AngeliDepartment of Radiology, Humanitas Gavazzeni, Via Gavazzeni, 21, 24125, Bergamo, BG, Italy. Electronic address: enzo.angeli@gavazzeni.it.
Serena DaltoDepartment of Oncology, Humanitas Gavazzeni, Via Gavazzeni, 21, 24125, Bergamo, BG, Italy. Electronic address: serena.dalto@gavazzeni.it.
Stefano MarcheseDepartment of Radiology, Humanitas Gavazzeni, Via Gavazzeni, 21, 24125, Bergamo, BG, Italy. Electronic address: stefano.marchese@gavazzeni.it.
Lucia SettiDepartment of Nuclear Medicine, Humanitas Gavazzeni, Via Gavazzeni, 21, 24125, Bergamo, BG, Italy. Electronic address: lucia.setti@gavazzeni.it.
Manuela BonacinaDepartment of Nuclear Medicine, Humanitas Gavazzeni, Via Gavazzeni, 21, 24125, Bergamo, BG, Italy. Electronic address: manuela.bonacina@gavazzeni.it.
Francesca GalliLaboratory of Methodology for Clinical Research, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri, 2, 20156, Milano, Italy. Electronic address: francesca.galli@marionegri.it.
Eliana RulliLaboratory of Methodology for Clinical Research, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri, 2, 20156, Milano, Italy. Electronic address: eliana.rulli@marionegri.it.
Valter TorriLaboratory of Methodology for Clinical Research, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri, 2, 20156, Milano, Italy. Electronic address: valter.torri@marionegri.it.
Cinzia MontiDepartment of Radiology, Humanitas Gavazzeni, Via Gavazzeni, 21, 24125, Bergamo, BG, Italy. Electronic address: cinzia.monti@gavazzeni.it.
Roberta MeroniDepartment of Radiology, Humanitas Gavazzeni, Via Gavazzeni, 21, 24125, Bergamo, BG, Italy. Electronic address: roberta.meroni@gavazzeni.it.
Giordano Domenico BerettaDepartment of Oncology, Humanitas Gavazzeni, Via Gavazzeni, 21, 24125, Bergamo, BG, Italy. Electronic address: giordano.beretta@gavazzeni.it.
Massimo CastoldiHumanitas Gavazzeni, Via Gavazzeni, 21, 24125, Bergamo, BG, Italy. Electronic address: massimo.castoldi@gavazzeni.it.
Emilio BombardieriHumanitas Gavazzeni, Via Gavazzeni, 21, 24125, Bergamo, BG, Italy. Electronic address: emilio.bombardieri@gavazzeni.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the prognostic role of chest computed tomography (CT), alone or in combination with clinical and laboratory parameters, in COVID-19 patients during the first peak of the pandemic.

methodsA retrospective single-center study of 301 COVID-19 patients referred to our Emergency Department (ED) from February 25 to March 29, 2020. At presentation, patients underwent chest CT and clinical and laboratory examinations. Outcomes included discharge from the ED after improvement/recovery (positive outcome), or admission to the intensive care unit or death (poor prognosis). A visual quantitative analysis was formed using two scores: the Pulmonary Involvement (PI) score based on the extension of lung involvement, and the Pulmonary Consolidation (PC) score based on lung consolidation. The prognostic value of CT alone or integrated with other parameters was studied by logistic regression and ROC analysis.

resultsThe impact of the CT PI score [≥15 vs. ≤ 6] on predicting poor prognosis (OR 5.71 95 % CI 1.93-16.92, P = 0.002) was demonstrated; no significant association was found for the PC score. Chest CT had a prognostic role considering the PI score alone (AUC 0.722) and when evaluated with demographic characteristics, comorbidities, and laboratory data (AUC 0.841). We, therefore, developed a nomogram as an easy tool for immediate clinical application.

conclusionsVisual analysis of CT gives useful information to physicians for prognostic evaluations, even in conditions of COVID-19 emergency. The predictive value is increased by evaluating CT in combination with clinical and laboratory data.

Indexed as

COVID-19PandemicsHumansItalyLaboratoriesNomogramsPrognosisRetrospective StudiesSARS-CoV-2Tomography, X-Ray ComputedChest computed tomographyClinical and laboratory dataCOVID-19 prognostic parametersIntegrated prognostic scorePrognostic nomogramQuantitative visual analysis method

Identifiers

PMID33662842
PMCPMC7907738

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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.