Evidence map›Paper›PMID 38247553›Full record

ReviewAdvances in respiratory medicine2024

Clinical Effectiveness of Ritonavir-Boosted Nirmatrelvir-A Literature Review.

Sydney Paltra, Tim O F Conrad

Abstract readReview
In one paragraph

Review in Advances in respiratory medicine, 2024. 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
–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.

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.

  1. Article
  2. Review
  3. Colchicine-The Divine Medicine against COVID-19.Journal of personalized medicine · 2024
    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

2 authors.

Sydney PaltraFG Verkehrssystemplanung und Verkehrstelematik, Technische Universität Berlin, 10623 Berlin, Germany.ORCID 0000-0002-4935-8586
Tim O F ConradZuse Institute Berlin, Takustraße 7, 14195 Berlin, Germany.ORCID 0000-0002-5590-5726

Funding

Federal Ministry of Education and Research 031L0300DFederal Ministry of Education and Research 031L0302AGermany's Excellence Strategy-MATH+ : The Berlin Mathematics Research Center (EXC-2046/1) 390685689 (subproject EF4-13)
6 · The paper itself

Abstract

Nirmatrelvir/Ritonavir is an oral treatment for mild to moderate COVID-19 cases with a high risk for a severe course of the disease. For this paper, a comprehensive literature review was performed, leading to a summary of currently available data on Nirmatrelvir/Ritonavir's ability to reduce the risk of progressing to a severe disease state. Herein, the focus lies on publications that include comparisons between patients receiving Nirmatrelvir/Ritonavir and a control group. The findings can be summarized as follows: Data from the time when the Delta-variant was dominant show that Nirmatrelvir/Ritonavir reduced the risk of hospitalization or death by 88.9% for unvaccinated, non-hospitalized high-risk individuals. Data from the time when the Omicron variant was dominant found decreased relative risk reductions for various vaccination statuses: between 26% and 65% for hospitalization. The presented papers that differentiate between unvaccinated and vaccinated individuals agree that unvaccinated patients benefit more from treatment with Nirmatrelvir/Ritonavir. However, when it comes to the dependency of potential on age and comorbidities, further studies are necessary. From the available data, one can conclude that Nirmatrelvir/Ritonavir cannot substitute vaccinations; however, its low manufacturing cost and easy administration make it a valuable tool in fighting COVID-19, especially for countries with low vaccination rates.

Indexed as

COVID-19RitonavirHospitalizationHumansTreatment OutcomeRitonavirCOVID-19nirmatrelvirnirmatrelvir/ritonavirpaxlovidritonavirSARS-CoV-2

Identifiers

PMID38247553
PMCPMC10801539

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.