Evidence map›Paper›PMID 38622937›Full record

ArticleJournal of Korean medical science2024

Comparative Analysis of Clinical Outcomes Using Propensity Score Matching: Coronavirus Disease 2019 vs. Seasonal Influenza in Korea.

Jae Kyeom Sim, Hye Sun Lee, Juyeon Yang, Jin Gwack, Bryan Inho Kim, Jeong-Ok Cha, Kyung Hoon Min, Young Seok Lee, Severe Acute Respiratory Infection (SARI) Investigators

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Jae Kyeom Sim *Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0003-0873-2807
Hye Sun Lee *Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-6328-6948
Juyeon YangBiostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-7621-5150
Jin GwackDivision of Infectious Disease Control, Bureau of Infectious Disease Policy, Korea Disease Control and Prevention Agency (KDCA), Cheongju, Korea.ORCID https://orcid.org/0000-0003-0932-9542
Bryan Inho KimDivision of Infectious Disease Control, Bureau of Infectious Disease Policy, Korea Disease Control and Prevention Agency (KDCA), Cheongju, Korea.ORCID https://orcid.org/0000-0002-1798-5315
Jeong-Ok ChaDivision of Infectious Disease Control, Bureau of Infectious Disease Policy, Korea Disease Control and Prevention Agency (KDCA), Cheongju, Korea.ORCID https://orcid.org/0009-0004-3491-9709
Kyung Hoon MinDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0003-0610-2182
Young Seok LeeDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea. avonlea76@korea.ac.kr.ORCID https://orcid.org/0000-0002-0144-2033
Severe Acute Respiratory Infection (SARI) Investigators

Funding

Korea Disease Control and Prevention Agency KDCA-2021-389
6 · The paper itself

Abstract

backgroundThe advent of the omicron variant and the formulation of diverse therapeutic strategies marked a new epoch in the realm of coronavirus disease 2019 (COVID-19). Studies have compared the clinical outcomes between COVID-19 and seasonal influenza, but such studies were conducted during the early stages of the pandemic when effective treatment strategies had not yet been developed, which limits the generalizability of the findings. Therefore, an updated evaluation of the comparative analysis of clinical outcomes between COVID-19 and seasonal influenza is requisite.

methodsThis study used data from the severe acute respiratory infection surveillance system of South Korea. We extracted data for influenza patients who were infected between 2018 and 2019 and COVID-19 patients who were infected in 2021 (pre-omicron period) and 2022 (omicron period). Comparisons of outcomes were conducted among the pre-omicron, omicron, and influenza cohorts utilizing propensity score matching. The adjusted covariates in the propensity score matching included age, sex, smoking, and comorbidities.

resultsThe study incorporated 1,227 patients in the pre-omicron cohort, 1,948 patients in the omicron cohort, and 920 patients in the influenza cohort. Following propensity score matching, 491 patients were included in each respective group. Clinical presentations exhibited similarities between the pre-omicron and omicron cohorts; however, COVID-19 patients demonstrated a higher prevalence of dyspnea and pulmonary infiltrates compared to their influenza counterparts. Both COVID-19 groups exhibited higher in-hospital mortality and longer hospital length of stay than the influenza group. The omicron group showed no significant improvement in clinical outcomes compared to the pre-omicron group.

conclusionThe omicron group did not demonstrate better clinical outcomes than the pre-omicron group, and exhibited significant disease severity compared to the influenza group. Considering the likely persistence of COVID-19 infections, it is imperative to sustain comprehensive studies and ongoing policy support for the virus to enhance the prognosis for individuals affected by COVID-19.

Indexed as

COVID-19Influenza, HumanHumansPropensity ScoreRepublic of KoreaSARS-CoV-2SeasonsClinical OutcomesCOVID-19InfluenzaOmicron Variant

Identifiers

PMID38622937
PMCPMC11018986

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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.