Evidence map›Paper›PMID 34766661›Full record

ArticleJournal of medical virology2022

Clinical features and independent predictors for recurrence of positive SARS-CoV-2 RNA: A propensity score-matched analysis.

Ke Liu, Xiuli Yang, Chen Feng, Mei Chen, Chuantao Zhang, Yuelian Wang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 3 institutions in 1 country.

Ke LiuDepartment of Respiratory Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Xiuli YangDepartment of Respiratory Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Chen FengMinistry of Law, The Public and Health Clinic Centre of Chengdu, Chengdu, Sichuan, China.
Mei ChenDepartment of Respiratory Medicine, Chengdu Fifth People's Hospital, Chengdu, Sichuan, China.
Chuantao ZhangDepartment of Respiratory Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Yuelian WangNational Key Laboratory of Traditional Chinese Medicine for the Prevention and Treatment of Infectious Diseases, The Public and Health Clinic Centre of Chengdu, Chengdu, Sichuan, China.
Chengdu University of Traditional Chinese Medicine · CNChengdu Fifth People's Hospital · CNPublic Health Clinical Center of Chengdu · CN

Funding

"100 Talent Plan" Project of Hospital of Chengdu University of Traditional Chinese Medicine (Hospital office [2020] 42)Chengdu Bureau of Science and Technology Program (2020-YF05-00139-SN)Hospital Scientific Research Project of The Public and Health Clinic Centre of Chengdu in 2020 (K2020-02)Sichuan Science and technology program (2020JDRC0114, 2020YFH0164)Special Project of Science and Technology Research of Sichuan Administration of Traditional Chinese Medicine (2021MS037, 2021MS093, 2021MS539)"Xinglin scholar" Research Premotion Project of Chengdu University of Traditional Chinese Medicine(XGZX2003)
6 · The paper itself

Abstract

Patients with COVID-19 may be recurrence positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA after being cured and discharged from the hospital. The aim of this study was to explore independent influencing factors as markers for predicting positive SARS-CoV-2 RNA recurrence. The study included 601 COVID-19 patients who were cured and discharged from the Public and Health Clinic Centre of Chengdu from January 2020 to March 2021, and the recurrence positive of patients within 6 weeks after SARS-CoV-2 RNA turned negative was followed up. We used propensity score matching to eliminate the influence of confounding factors, and multivariate Logistic regression analysis was used to determine the independent influencing factors for positive SARS-CoV-2 RNA recurrence. Multivariate Logistic regression showed that the elevated serum potassium (odds ratio [OR] = 6.537, 95% confidence interval [CI]: 1.864-22.931, p = 0.003), elevated blood chlorine (OR = 1.169, 95% CI: 1.032-1.324, p = 0.014) and elevated CD3

Indexed as

AdultAntiviral AgentsChinaCOVID-19FemaleHospitalizationHumansLogistic ModelsMaleMiddle AgedPropensity ScoreRecurrenceRetrospective StudiesRisk FactorsRNA, ViralSARS-CoV-2Antiviral AgentsRNA, ViralCOVID-19independent predictorsrecurrenceSARS-CoV-2

Identifiers

PMID34766661
PMCPMC8662258
OpenAlexW3211380425

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.