Evidence map›Paper›PMID 34162130›Full record

SynthesisInternational immunopharmacology2021

Colchicine and mortality in patients with coronavirus disease 2019 (COVID-19) pneumonia: A systematic review, meta-analysis, and meta-regression.

Eka Noneng Nawangsih, Yudith Yunia Kusmala, Iis Inayati Rakhmat, Dewi Ratih Handayani, Henny Juliastuti, Arief Wibowo, Michael Anthonius Lim, Raymond Pranata

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International immunopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Colchicine for the treatment of COVID-19.The Cochrane database of systematic reviews · 2021
    Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Predictive risk factors for hospitalization and response to colchicine in patients with COVID-19.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  11. Article
  12. 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

8 authors at 3 institutions in 1 country.

Eka Noneng NawangsihDepartment of Microbiology, Faculty of Medicine, Universitas Jenderal Achmad Yani, Cimahi, Indonesia. Electronic address: eka.noneng@lecture.unjani.ac.id.
Yudith Yunia KusmalaDepartment of Internal Medicine, Faculty of Medicine, Universitas Jenderal Achmad Yani, Cimahi, Indonesia. Electronic address: yudith.yunia@lecture.unjani.ac.id.
Iis Inayati RakhmatDepartment of Biochemistry, Faculty of Medicine, Universitas Jenderal Achmad Yani, Cimahi, Indonesia. Electronic address: iis.inayati@lecture.unjani.ac.id.
Dewi Ratih HandayaniDepartment of Biochemistry, Faculty of Medicine, Universitas Jenderal Achmad Yani, Cimahi, Indonesia. Electronic address: dewi.ratih@lecture.unjani.ac.id.
Henny JuliastutiDepartment of Biochemistry, Faculty of Medicine, Universitas Jenderal Achmad Yani, Cimahi, Indonesia.
Arief WibowoDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Padjadjaran, Rumah Sakit Umum Pusat Hasan Sadikin, Bandung, Indonesia.
Michael Anthonius LimFaculty of Medicine, Universitas Pelita Harapan, Tangerang, Indonesia.
Raymond PranataDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Padjadjaran, Rumah Sakit Umum Pusat Hasan Sadikin, Bandung, Indonesia; Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Indonesia.
Universitas Jenderal Achmad Yani · IDPelita Harapan University · IDDr. Hasan Sadikin General Hospital · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis systematic review, with meta-analysis and meta-regression aims to evaluate the effect of colchicine administration on mortality in patients with coronavirus disease 2019 (COVID-19) and factors affecting the association.

methodsA systematic literature search using the PubMed, Scopus, and Embase databases were performed from inception of databases up until 3 March 2021. We included studies that fulfill all of the following criteria: 1) observational studies or randomized controlled trials (RCTs) that report COVID-19 patients, 2) reporting colchicine use, and 3) mortality within 30 days. There was no restriction on the age, inpatients or outpatients setting, and severity of diseases. The intervention was colchicine administration during treatment for COVID-19. The control was receiving placebo or standard of care. The outcome was mortality and the pooled effect estimate was reported as odds ratio (OR). Random-effects restricted maximum likelihood meta-regression was performed to evaluate factors affecting the pooled effect estimate.

resultsEight studies comprising of 5530 patients were included in this systematic review and meta-analysis. There were three RCTs and five observational studies. Pooled analysis showed that colchicine was associated with lower mortality in patients with COVID-19 (OR 0.47 [0.31, 0.72], p = 0.001; I

conclusionThis meta-analysis indicates that colchicine may reduce mortality in patients with COVID-19. Meta-regression analysis showed that the benefit was reduced as age increases. PROSPERO: CRD42021240609.

Indexed as

COVID-19 Drug TreatmentAge FactorsColchicineDiabetes ComplicationsDiabetes MellitusFemaleGender IdentityHumansHypertensionMaleMortalityOdds RatioRegression AnalysisSARS-CoV-2ColchicineColchicineCoronavirusCOVID-19OutcomeTreatment

Identifiers

PMID34162130
PMCPMC8075849
OpenAlexW3158587094

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.