Evidence map›Paper›PMID 39090554›Full record

ArticleBMC infectious diseases2024

Paxlovid reduces the 28-day mortality of patients with COVID-19: a retrospective cohort study.

Kaican Zong, Li Xu, Chun Luo, Chen Luo, Bin Liu, Jiacheng Chen, Huizi Wu, Zhiqiang Liu, Rongjuan Zhuang, Shuliang Guo

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. COVID-19 Infection, Drugs, and Liver Injury.Journal of clinical medicine · 2025
    Review
  3. Article
  4. Article
  5. Article
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

10 authors.

Kaican ZongDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Li XuDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Chun LuoDepartment of Respiratory and Critical Care Medicine, Affiliated University Town Hospital of Chongqing Medical University, Chongqing, 401331, People's Republic of China.
Chen LuoDepartment of Respiratory and Critical Care Medicine, The Seventh People's Hospital of Chongqing (Affiliated Central Hospital of Chongqing University of Technology), Chongqing, 400054, People's Republic of China.
Bin LiuDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Jiacheng ChenDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Huizi WuDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Zhiqiang LiuDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Rongjuan ZhuangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Shuliang GuoDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, People's Republic of China. guosl999@sina.com.

Funding

Chongqing Municipal Education Commission KYYJ202006Famous experts and teachers of Chongqing Talents Program none
6 · The paper itself

Abstract

purposeIn this study, we aim to explore the efficacy of paxlovid on reducing mortality of COVID-19 patients in clinical setting, especially whether paxlovid modifies the risk of death in these severe and critical patients.

methodsOur retrospective cohort study was conducted on the medical records of patients, consecutively admitted for COVID-19 to five hospitals in Chongqing, China from Dec 8, 2022 to Jan 20, 2023. Based on whether patients received paxlovid during their hospitalization, patients were grouped as paxlovid group and non-paxlovid group. We used 1:1 ratio propensity score matching (PSM) in our study to adjust for confounding factors and differences between groups. Statistical analysis were performed by SPSS 23.0. The differences in 28-day mortality between these two groups and its influencing factors were the main results we focused on.

resultsThere were 1018 patients included in our study cohort. With 1:1 ratio PSM, each of the paxlovid group and non-paxlovid group included 237 patients. The results showed that patients using paxlovid have a lower 28-day mortality in overall population either before PSM (OR 0.594, 95% CI 0.385-0.917, p = 0.019) or after PSM (OR 0.458, 95% CI 0.272-0.774, p = 0.003) with multivariable adjusted logistic regression models. Meanwhile, in severe subgroup, it showed similar findings.With paxlovid treatment, it showed a significantly lower 28-day mortality in severe subgroup both before PSM (28% vs.41%, p = 0.008) and after PSM (19% vs.32%, p = 0.007).

conclusionPaxlovid can significantly reduce the risk of 28-day mortality in overall population and severe subgroup patients.This study distinguished the severe subgroup patients with COVID-19 who benefit more from paxlovid treatment.

Indexed as

COVID-19SARS-CoV-2AdultAgedChinaCOVID-19 Drug TreatmentFemaleHospitalizationHumansMaleMiddle AgedPropensity ScoreRetrospective StudiesCOVID-19MortalityPaxlovidSARS-CoV-2Treatment

Identifiers

PMID39090554
PMCPMC11293081

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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.