Evidence map›Paper›PMID 35530041›Full record

ArticleFrontiers in medicine2022

A Home-Treatment Algorithm Based on Anti-inflammatory Drugs to Prevent Hospitalization of Patients With Early COVID-19: A Matched-Cohort Study (COVER 2).

Elena Consolaro, Fredy Suter, Nadia Rubis, Stefania Pedroni, Chiara Moroni, Elena Pastò, Maria Vittoria Paganini, Grazia Pravettoni, Umberto Cantarelli, Norberto Perico and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04854824 (A Simple, Home-treatment Algorithm to Prevent Hospitalization for COVID-19 Patients), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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.

NCT04854824 completednot on this map

A Simple, Home-treatment Algorithm to Prevent Hospitalization for COVID-19 Patients: A Matched -Cohort Study

TypeobservationalSponsorMario Negri Institute for Pharmacological ResearchRan2021 to 2021Enrolled216ConditionsCovid19ArmsRecommended treatment schedule, Control treatment schedule
3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. COVID-19 Medical and Pharmacological Management in the European Countries Compared to Italy: An Overview.International journal of environmental research and public health · 2022
    Review
  15. Article
  16. Review
  17. Article
  18. Observational
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

14 authors.

Elena ConsolaroAgenzia di Tutela della Salute (ATS) Insubria, Varese, Italy.
Fredy SuterAzienda Socio-Sanitaria Territoriale (ASST) Papa Giovanni XXIII, Bergamo, Italy.
Nadia RubisIstituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.
Stefania PedroniAgenzia di Tutela della Salute (ATS) Insubria, Varese, Italy.
Chiara MoroniAgenzia di Tutela della Salute (ATS) Insubria, Varese, Italy.
Elena PastòAgenzia di Tutela della Salute (ATS) Insubria, Varese, Italy.
Maria Vittoria PaganiniAgenzia di Tutela della Salute (ATS) Insubria, Varese, Italy.
Grazia PravettoniOspedale Circolo di Busto Arsizio, Varese, Italy.
Umberto CantarelliAzienda Sanitaria Locale (ASL) Teramo, Teramo, Italy.
Norberto PericoIstituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.
Annalisa PernaIstituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.
Tobia PeracchiIstituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.
Piero RuggenentiAzienda Socio-Sanitaria Territoriale (ASST) Papa Giovanni XXIII, Bergamo, Italy.
Giuseppe RemuzziIstituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: While considerable success has been achieved in the management of patients hospitalized with severe coronavirus disease 2019 (COVID-19), far less progress has been made with early outpatient treatment. We assessed whether the implementation of a home treatment algorithm-designed based on a pathophysiologic and pharmacologic rationale-and including non-steroidal anti-inflammatory drugs, especially relatively selective cyclooxygenase-2 inhibitors and, when needed, corticosteroids, anticoagulants, oxygen therapy and antibiotics-at the very onset of mild COVID-19 symptoms could effectively reduce hospital admissions. Methods: This fully academic, matched-cohort study evaluated outcomes in 108 consecutive consenting patients with mild COVID-19, managed at home by their family doctors between January 2021 and May 2021, according to the proposed treatment algorithm and in 108 age-, sex-, and comorbidities-matched patients on other therapeutic schedules (ClinicalTrials.gov: NCT04854824). The primary outcome was COVID-19-related hospitalization. Analyses were by intention-to-treat. Results: One (0.9%) patient in the "recommended" cohort and 12 (11.1%) in the "control" cohort were admitted to hospital ( Conclusion: The adoption of the proposed outpatient treatment algorithm during the early, mild phase of COVID-19 reduced the incidence of subsequent hospitalization and related costs.

Indexed as

at home managementCOVID-19hospitalizationoutpatientsSARS-CoV-2

Identifiers

PMID35530041
PMCPMC9073076

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.