Evidence map›Paper›PMID 35038601›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2022

Predictive risk factors for hospitalization and response to colchicine in patients with COVID-19.

Jean-Claude Tardif, Mariève Cossette, Marie-Claude Guertin, Nadia Bouabdallaoui, Marie-Pierre Dubé, Guy Boivin, Colcorona study group

Open access · goldAbstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

7 authors at 2 institutions in 1 country.

Jean-Claude TardifMontreal Heart Institute and Université de Montréal, Montreal, QC, Canada.
Mariève CossetteMontreal Health Innovations Coordinating Center (MHICC), Montreal, QC, Canada.
Marie-Claude GuertinMontreal Health Innovations Coordinating Center (MHICC), Montreal, QC, Canada.
Nadia BouabdallaouiMontreal Heart Institute and Université de Montréal, Montreal, QC, Canada.
Marie-Pierre DubéMontreal Heart Institute and Université de Montréal, Montreal, QC, Canada.
Guy BoivinResearch Center in Infectious Diseases, CHU de Québec and Université Laval, Quebec City, QC, Canada. Electronic address: Guy.Boivin@crchudequebec.ulaval.ca.
Colcorona study group
Montreal Heart Institute · CAUniversité Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA predictive model for hospitalization due to COVID-19 or death was developed in the placebo group (N=2,084) from a large clinical trial of colchicine in COVID-19 patients (N = 4,159).

resultsThe 7 variables retained in the predictive model were age, gender, body-mass index, history of respiratory disease, use of diabetes drugs, use of anticoagulants, and use of oral steroids at the time of randomization. An optimal threshold value identified from the predictive model was used to classify high-risk patients (those with a predicted probability above the optimal threshold) and low-risk patients (those with a predicted probability below the optimal threshold). The number needed to treat to prevent 1 hospitalization or death with colchicine treatment decreased from 71 in the whole study population (N = 4,159) to 29 in the high-risk subgroup (N=1,692).

conclusionThis model could serve to identify high-risk subjects who will particularly benefit from early colchicine therapy.

Indexed as

COVID-19 Drug TreatmentColchicineHospitalizationHumansRisk FactorsSARS-CoV-2Treatment OutcomeColchicinecolchicineCOVID-19hospitalizationrisk factorssex

Identifiers

PMID35038601
PMCPMC8758567
OpenAlexW4205192916

What OpenQuestion holds

Textmetadata
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.