Evidence map›Paper›PMID 34127959›Full record

ArticleEClinicalMedicine2021

A simple, home-therapy algorithm to prevent hospitalisation for COVID-19 patients: A retrospective observational matched-cohort study.

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

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 1 country.

Fredy SuterAzienda Socio-Sanitaria Territoriale (ASST) Papa Giovanni XXIII, Bergamo, Italy.
Elena ConsolaroATS Insubria, Varese, Italy.
Stefania PedroniATS Insubria, Varese, Italy.
Chiara MoroniATS Insubria, Varese, Italy.
Elena PastòATS Insubria, Varese, Italy.
Maria Vittoria PaganiniATS Insubria, Varese, Italy.
Grazia PravettoniOspedale Circolo di Busto Arsizio, Varese, Italy.
Umberto CantarelliASL Teramo, Teramo, Italy.
Nadia RubisIstituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, 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.
Mario Negri Institute for Pharmacological Research · ITUniversity of Insubria · ITOspedale di Circolo di Busto Arsizio · ITOspedale Papa Giovanni XXIII · ITUniversity of Teramo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective home treatment algorithms implemented based on a pathophysiologic and pharmacologic rationale to accelerate recovery and prevent hospitalisation of patients with early coronavirus disease 2019 (COVID-19) would have major implications for patients and health system.

methodsThis academic, matched-cohort study compared outcomes of 90 consecutive consenting patients with mild COVID-19 treated at home by their family physicians between October 2020 and January 2021 in Northern and Central Italy, according to the proposed recommendation algorithm, with outcomes for 90 age-, sex-, and comorbidities-matched patients who received other therapeutic regimens. Primary outcome was time to resolution of major symptoms. Secondary outcomes included prevention of hospitalisation. Analyses were by intention-to-treat.

findingsAll patients achieved complete remission. The median [IQR] time to resolution of major symptoms was 18 [14-23] days in the 'recommended schedule' cohort and 14 [7-30] days in the matched 'control' cohort (

interpretationImplementation of an early home treatment algorithm failed to accelerate recovery from major symptoms of COVID-19, but reduced the risk of hospitalisation and related treatment costs. Given the study design, additional research would be required to consolidate the proposed treatment recommendations.

fundingFondazione Cav.Lav. Carlo Pesenti.

Indexed as

COVID-19Early symptoms at homeFamily physiciansMatched-cohort observational studySARS-CoV-2Simple home-therapy algorithm

Identifiers

PMID34127959
PMCPMC8189543
OpenAlexW3172916551

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.