Evidence map›Paper›PMID 34181716›Full record

SynthesisClinical infectious diseases : an official publication of the Infectious Diseases Society of America2022

Ivermectin for the Treatment of Coronavirus Disease 2019: A Systematic Review and Meta-analysis of Randomized Controlled Trials.

Yuani M Roman, Paula Alejandra Burela, Vinay Pasupuleti, Alejandro Piscoya, Jose E Vidal, Adrian V Hernandez

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 5 pooled it
7.8field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 5 syntheses or guidelines pooled it, 122 citations in OpenAlex.

  1. Pooled it
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  4. Is Ivermectin Effective in Treating COVID-19?Frontiers in pharmacology · 2022
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  16. Impact of Ivermectin on the Gut Microbial Ecosystem.International journal of molecular sciences · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Yuani M RomanHealth Outcomes, Policy, and Evidence Synthesis (HOPES) Group, University of Connecticut School of Pharmacy, Storrs, Connecticut, USA.
Paula Alejandra BurelaUniversidad Científica del Sur, Lima, Peru.
Vinay PasupuletiCello Health, Yardley, Pennsylvania, USA.
Alejandro PiscoyaUnidad de Revisiones Sistemáticas y Meta-análisis, Guías de Práctica Clínica y Evaluaciones de Tecnologías Sanitarias (URSIGET), Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, La Molina, Lima, Peru.
Jose E VidalDivision of Infectious Diseases, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Adrian V HernandezHealth Outcomes, Policy, and Evidence Synthesis (HOPES) Group, University of Connecticut School of Pharmacy, Storrs, Connecticut, USA.
University of Connecticut · USInstituto de Infectologia Emílio Ribas · BRUniversidad Científica del Sur · PEUniversidad San Ignacio de Loyola · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe systematically assessed benefits and harms of the use of ivermectin (IVM) in patients with coronavirus disease 2019 (COVID-19).

methodsPublished and preprint randomized controlled trials (RCTs) assessing the effects of IVM on adult patients with COVID-19 were searched until 22 March 2021 in 5 engines. Primary outcomes were all-cause mortality rate, length of hospital stay (LOS), and adverse events (AEs). Secondary outcomes included viral clearance and severe AEs (SAEs). The risk of bias (RoB) was evaluated using the Cochrane Risk of Bias 2.0 tool. Inverse variance random effect meta-analyses were performed, with quality of evidence (QoE) evaluated using GRADE methods.

resultsTen RCTs (n = 1173) were included. The controls were the standard of care in 5 RCTs and placebo in 5. COVID-19 disease severity was mild in 8 RCTs, moderate in 1, and mild and moderate in 1. IVM did not reduce all-cause mortality rates compared with controls (relative risk [RR], 0.37 [95% confidence interval, .12-1.13]; very low QoE) or LOS compared with controls (mean difference, 0.72 days [95% confidence interval, -.86 to 2.29 days]; very low QoE). AEs, SAEs, and viral clearance were similar between IVM and control groups (low QoE for all outcomes). Subgroups by severity of COVID-19 or RoB were mostly consistent with main analyses; all-cause mortality rates in 3 RCTs at high RoB were reduced with IVM.

conclusionsCompared with the standard of care or placebo, IVM did not reduce all-cause mortality, LOS, or viral clearance in RCTs in patients with mostly mild COVID-19. IVM did not have an effect on AEs or SAEs and is not a viable option to treat patients with COVID-19.

Indexed as

COVID-19 Drug TreatmentAdultHumansImmunization, PassiveIvermectinRandomized Controlled Trials as TopicRespiration, ArtificialIvermectinCOVID-19ivermectinmeta-analysismortalitySARS-CoV-2

Identifiers

PMID34181716
PMCPMC8394824
OpenAlexW3174188666

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.