Evidence map›Paper›PMID 33303654›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

A data-driven approach to identify risk profiles and protective drugs in COVID-19.

Pietro E Cippà, Federica Cugnata, Paolo Ferrari, Chiara Brombin, Lorenzo Ruinelli, Giorgia Bianchi, Nicola Beria, Lukas Schulz, Enos Bernasconi, Paolo Merlani and 2 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Thyroid sequelae of COVID-19: a systematic review of reviews.Reviews in endocrine & metabolic disorders · 2021
    Pooled it
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  19. On zombies, struldbrugs, and other horrors of the scientific literature.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 3 countries.

Pietro E CippàDepartment of Medicine, Division of Nephrology, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland; diserio.clelia@unisr.it Pietro.Cippa@eoc.ch.
Federica CugnataUniversity Centre of Statistics in the Biomedical Sciences, "Vita-Salute San Raffaele" University, 20132 Milan, Italy.ORCID 0000-0002-1886-569X
Paolo FerrariDepartment of Medicine, Division of Nephrology, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland.ORCID 0000-0002-9619-3104
Chiara BrombinUniversity Centre of Statistics in the Biomedical Sciences, "Vita-Salute San Raffaele" University, 20132 Milan, Italy.ORCID 0000-0002-8215-6206
Lorenzo RuinelliICT (Informatica e Tecnologia della Comunicazione), Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland.
Giorgia BianchiDepartment of Medicine, Division of Nephrology, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland.
Nicola BeriaDepartment of Medicine, Division of Nephrology, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland.
Lukas SchulzDepartment of Medicine, Division of Nephrology, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland.
Enos BernasconiBiomedical Faculty, Università della Svizzera Italiana, 6900 Lugano, Switzerland.ORCID 0000-0002-9724-8373
Paolo MerlaniFaculty of Medicine, University of Geneva, 1205 Geneva, Switzerland.
Alessandro CeschiFaculty of Medicine, University of Zurich, 8006 Zurich, Switzerland.ORCID 0000-0002-4308-0405
Clelia Di SerioUniversity Centre of Statistics in the Biomedical Sciences, "Vita-Salute San Raffaele" University, 20132 Milan, Italy; diserio.clelia@unisr.it Pietro.Cippa@eoc.ch.ORCID 0000-0001-6385-6058
Ente Ospedaliero Cantonale · CHVita-Salute San Raffaele University · ITUniversity of Geneva · CHUniversity of Zurich · CHUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the COVID-19 pandemic is spreading around the world, increasing evidence highlights the role of cardiometabolic risk factors in determining the susceptibility to the disease. The fragmented data collected during the initial emergency limited the possibility of investigating the effect of highly correlated covariates and of modeling the interplay between risk factors and medication. The present study is based on comprehensive monitoring of 576 COVID-19 patients. Different statistical approaches were applied to gain a comprehensive insight in terms of both the identification of risk factors and the analysis of dependency structure among clinical and demographic characteristics. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus enters host cells by binding to the angiotensin-converting enzyme 2 (ACE2), but whether or not renin-angiotensin-aldosterone system inhibitors (RAASi) would be beneficial to COVID-19 cases remains controversial. The survival tree approach was applied to define a multilayer risk stratification and better profile patient survival with respect to drug regimens, showing a significant protective effect of RAASi with a reduced risk of in-hospital death. Bayesian networks were estimated, to uncover complex interrelationships and confounding effects. The results confirmed the role of RAASi in reducing the risk of death in COVID-19 patients. De novo treatment with RAASi in patients hospitalized with COVID-19 should be prospectively investigated in a randomized controlled trial to ascertain the extent of risk reduction for in-hospital death in COVID-19.

Indexed as

Antiviral AgentsCOVID-19COVID-19 Drug TreatmentSARS-CoV-2AgedAged, 80 and overAngiotensin-Converting Enzyme InhibitorsFemaleHospitalizationHumansMaleMiddle AgedPandemicsProtective AgentsRenin-Angiotensin SystemRisk FactorsAngiotensin-Converting Enzyme InhibitorsAntiviral AgentsProtective AgentsBayesian networkCOVID-19RAASsurvival tree

Identifiers

PMID33303654
PMCPMC7817222
OpenAlexW3111773102

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.