Evidence map›Paper›PMID 37369283›Full record

ArticleAntiviral research2023

Paxlovid for hospitalized COVID-19 patients with chronic kidney disease.

Hong Cai, Jiayi Yan, Shang Liu, Ping Li, Li Ding, Yaping Zhan, Jiayue Lu, Zhenyuan Li, Yiwen Sun, Mingli Zhu and 7 more

Open access · greenAbstract read
In one paragraph

Article in Antiviral research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

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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

17 authors at 3 institutions in 3 countries.

Hong CaiDepartment of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Jiayi YanDepartment of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China; Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, 201210, China.
Shang LiuDepartment of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China; Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, 201210, China.
Ping LiDepartment of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Li DingDepartment of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Yaping ZhanDepartment of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Jiayue LuDepartment of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Zhenyuan LiDepartment of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Yiwen SunUniversity of Sydney Faculty of Medicine and Health School of Public Health, Sydney, 2006, Australia.
Mingli ZhuDepartment of Critical Care Medicine, Ren ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
Yuan GaoDepartment of Critical Care Medicine, Ren ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
Xingrong GongDepartment of Medical Administration, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Haiqun BanInfection Management Office, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Leyi GuDepartment of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Weibin ZhouCenter for Translational Medicine and Pharmacology and Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. Electronic address: weibin.zhou@mssm.edu.
Jieying WangClinical Research Center, Ren ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China. Electronic address: wangjieying@renji.com.
Shan MouDepartment of Nephrology, Molecular Cell Lab for Kidney Disease, Shanghai Peritoneal Dialysis Research Center, Ren Ji Hospital, Uremia Diagnosis and Treatment Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China; Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, 201210, China. Electronic address: Shan_Mou@shsmu.edu.cn.
Shanghai Jiao Tong University · CNIcahn School of Medicine at Mount Sinai · USThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 causes significant mortality during the recent pandemic. Data regarding the effectiveness of Paxlovid on COVID-19 patients with chronic kidney disease (CKD, eGFR <90 ml/min) are limited.

methodsA retrospective cohort study was performed on the clinical data of the hospitalized adult patients with confirmed COVID-19 infection collected at Renji Hospital from April 7, 2022 to June 21, 2022. The association of Paxlovid treatment with early (within 5 days post diagnosis) or late (5 days or later post diagnosis) initiation time with clinical outcomes was assessed by Cox proportional hazards regression model with time-dependent covariates.

result1279 of 2387 enrollees were included in the study. Patients with early initiation of Paxlovid had a lower all-cause death rate compared to those with late initiation or without Paxlovid treatment (P = 0.046). For the CKD patients with Charlson comorbidity index (CCI) > 7, the early initiation of Paxlovid was associated with a lower all-cause death rate compared to the later initiation or the lack of Paxlovid treatment (P = 0.041). Cox regression analyses revealed that eGFR (HR 4.21 [95%, CI 1.62-10.99]), Paxlovid treatment (0.32 [0.13-0.77]), CCI (4.32 [1.64-11.40]), ICU admission (2.65 [1.09-6.49]), hsCRP (3.88 [1.46-7.80]), chronic liver disease (4.02 [1.09-14.85]) were the independent risk factors for all-cause death for CKD patients after adjusting for demographics and biochemical indexes.

conclusionsAll-cause death, invasive ventilation, and ICU admission were all significantly lowered by an early initiation of Paxlovid treatment in COVID-19 patients with severe CKD.

Indexed as

COVID-19Renal Insufficiency, ChronicAdultDrug CombinationsHumansLactamsLeucineNitrilesProlineRetrospective StudiesRisk FactorsRitonavirDrug CombinationsLactamsLeucinenirmatrelvir and ritonavir drug combinationNitrilesProlineRitonavirAll-cause deathChronic kidney diseaseCOVID-19PaxlovidViral elimination

Identifiers

PMID37369283
PMCPMC10290896
OpenAlexW4381953230

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Registered trials

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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.