Evidence map›Paper›PMID 35507600›Full record

ArticlePloS one2022

Use of combined treatment of 3rd-generation cephalosporin, azithromycin and antiviral agents on moderate SARs-CoV-2 patients in South Korea: A retrospective cohort study.

Wooyoung Hong, Yu-Kyung Park, Bong-Ok Kim, Sung Kyu Park, Jiin Shin, Soon-Pyo Jang, Hea-Woon Park, Wonjong Yang, Joonyoung Jang, Soon-Woo Jang and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
0.6field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. COVID-19 patient characteristics and time to viral clearance: A retrospective observational study in a multiethnic population (United Arab Emirates).Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2022
    Observational
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

11 authors at 4 institutions in 3 countries.

Wooyoung HongDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, United States of America.
Yu-Kyung ParkKorea Workers' Compensation & Welfare Services Daegu Hospital, Buk-gu, Daegu, Republic of Korea.
Bong-Ok KimKorea Workers' Compensation & Welfare Services Daegu Hospital, Buk-gu, Daegu, Republic of Korea.
Sung Kyu ParkKorea Workers' Compensation & Welfare Services Daegu Hospital, Buk-gu, Daegu, Republic of Korea.
Jiin ShinSchool of Medicine, Seoul National University, Seoul, Republic of Korea.
Soon-Pyo JangDepartment of Oral and Maxillofacial Surgery, Division of Oral Pathobiological Science, Graduate School of Dental Medicine, Hokkaido University, Hokkaido, Japan.
Hea-Woon ParkKorea Workers' Compensation & Welfare Services Daegu Hospital, Buk-gu, Daegu, Republic of Korea.
Wonjong YangKorea Workers' Compensation & Welfare Services Daegu Hospital, Buk-gu, Daegu, Republic of Korea.
Joonyoung JangKorea Workers' Compensation & Welfare Services Daegu Hospital, Buk-gu, Daegu, Republic of Korea.
Soon-Woo JangDirector of Bukha Public Health Center, Jangseong, Republic of Korea.ORCID 0000-0003-2303-7124
Tae-Ho HwangDepartment of Pharmacology, School of Medicine, Pusan National University, Yangsan, Republic of Korea.
Hokkaido University · JPPusan National University · KRHarvard University · USSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess efficacy and safety of the combined treatment of antibiotics (3rd-generation cephalosporin and azithromycin) and antiviral agents (lopinavir/ritonavir or hydroxychloroquine) on moderate COVID-19 patients in South Korea.

methodsA retrospective cohort study of the 358 laboratory-confirmed SARS-CoV-2 (COVID-19) patients was conducted. 299 patients met inclusion criteria for analysis. Propensity score matching (PSM) and Cox regression method were used to control and adjust for confounding factors. Mild to moderate COVID-19 patients were managed with either CA/LoP (cephalosporin, azithromycin, and lopinavir/ritonavir) (n = 57), CA/HQ (cephalosporin, azithromycin, and hydroxychloroquine) (n = 25) or standard supportive care (n = 217). We analyzed the association between treatment group and standard supportive group in terms of three endpoints: time to symptom resolution, time to viral clearance, and hospital stay duration. Using propensity-score matching analysis, three rounds of propensity-matching analysis were performed to balance baseline characteristics among three cohorts.

resultsKaplan-Meier curves fitted using propensity score-matched data revealed no significant differences on time to symptom resolution, time to viral clearance, hospital stay duration among the three treatment arms (CA/LoP vs Standard, log-rank p-value = 0.2, 0.58, and 0.74 respectively for the three endpoints) (CA/HQ vs Standard, log-rank p-value = 0.46, 0.99, and 0.75 respectively). Similarly, Cox regression analysis on matched cohorts of CA/LoP and standard supportive group showed that hazard ratios of time to symptom resolution (HR: 1.447 [95%-CI: 0.813-2.577]), time to viral clearance(HR: 0.861, [95%-CI: 0.485-1.527]), and hospital stay duration (HR: 0.902, [95%-CI: 0.510-1.595]) were not significant. For CA/HQ and standard supportive group, hazard ratios of the three endpoints all showed no statistical significance (HR: 1.331 [95%-CI:0.631-2.809], 1.005 [95%-CI:0.480-2.105], and 0.887, [95%-CI:0.422-1.862] respectively). No severe adverse event or death was observed in all groups.

conclusionsCombined treatment of 3rd cephalosporin, azithromycin and either low-dose lopinavir/ritonavir or hydroxychloroquine was not associated with better clinical outcomes in terms of time to symptom resolution, time to viral clearance, and hospital stay duration compared to standard supportive treatment alone. Microbiological evidence should be closely monitored when treating SARS-CoV-2 patients with antibiotics to prevent indiscreet administration of empirical antimicrobial treatments.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2Anti-Bacterial AgentsAntiviral AgentsAzithromycinCephalosporinsHumansHydroxychloroquineLopinavirRetrospective StudiesRitonavirTreatment OutcomeAnti-Bacterial AgentsAntiviral AgentsAzithromycinCephalosporinsHydroxychloroquineLopinavirRitonavir

Identifiers

PMID35507600
PMCPMC9067652
OpenAlexW4229021877

What OpenQuestion 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 OpenQuestion graph.