Evidence map›Paper›PMID 34311842›Full record

ArticleeLife2021

Revisiting the guidelines for ending isolation for COVID-19 patients.

Yong Dam Jeong, Keisuke Ejima, Kwang Su Kim, Shoya Iwanami, Ana I Bento, Yasuhisa Fujita, Il Hyo Jung, Kazuyuki Aihara, Koichi Watashi, Taiga Miyazaki and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05950230 (A Case-Control Study on the Association Between Periodontal Health and Gingival Crevicular Level of Matrix Metalloproteinase-8 in Post COVID-19 Patients), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.0field-weighted citation impact, top 8% 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.

NCT05950230 unknown statusnot on this mapstarted 2023, after this paper: background citation

A Case-Control Study on the Association Between Periodontal Health and Gingival Crevicular Level of Matrix Metalloproteinase-8 in Post COVID-19 Patients

TypeobservationalSponsorAin Shams UniversityRan2023 to 2023Enrolled90ConditionsPost COVID-19 ConditionArmsAssess Periodontal Health Status, Collecte GCF samples by paperstrip
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. VIBES: A multiscale modeling approach integrating within-host and between-hosts dynamics in epidemics.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  13. Analysis of the risk and pre-emptive control of viral outbreaks accounting for within-host dynamics: SARS-CoV-2 as a case study.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

13 authors at 9 institutions in 4 countries.

Yong Dam Jeong *interdisciplinary Biology Laboratory (iBLab), Division of Biological Science, Graduate School of Science, Nagoya University, Nagoya, Japan.ORCID 0000-0002-3970-7690
Keisuke Ejima *Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, United States.ORCID 0000-0002-1185-3987
Kwang Su Kim *interdisciplinary Biology Laboratory (iBLab), Division of Biological Science, Graduate School of Science, Nagoya University, Nagoya, Japan.
Shoya Iwanamiinterdisciplinary Biology Laboratory (iBLab), Division of Biological Science, Graduate School of Science, Nagoya University, Nagoya, Japan.
Ana I BentoDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, United States.
Yasuhisa Fujitainterdisciplinary Biology Laboratory (iBLab), Division of Biological Science, Graduate School of Science, Nagoya University, Nagoya, Japan.
Il Hyo JungDepartment of Mathematics, Pusan National University, Busan, Republic of Korea.
Kazuyuki AiharaInternational Research Center for Neurointelligence, The University of Tokyo, Tokyo, Japan.
Koichi WatashiDepartment of Virology II, National Institute of Infectious Diseases, Tokyo, Japan.
Taiga MiyazakiDepartment of Infectious Diseases, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Takaji WakitaDepartment of Virology II, National Institute of Infectious Diseases, Tokyo, Japan.
Shingo Iwamiinterdisciplinary Biology Laboratory (iBLab), Division of Biological Science, Graduate School of Science, Nagoya University, Nagoya, Japan.ORCID 0000-0002-1780-350X
Marco AjelliDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, United States.
XLAB (Slovenia) · SIIndiana University Bloomington · USFred Hutch Cancer Center · USNational Institute of Infectious Diseases · JPNortheastern University · USPusan National University · KRThe University of Tokyo · JPTokyo University of Science · JPUniversity of Miyazaki · JP

Funding

MIDAS Coordination CenterU24GM132013 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOCHHEISER, HARRY S · 2019 to 2023
$8.1M
NIGMS NIH HHS 3U24GM132013-02S2NIGMS NIH HHS U24 GM132013
6 · The paper itself

Abstract

Since the start of the COVID-19 pandemic, two mainstream guidelines for defining when to end the isolation of SARS-CoV-2-infected individuals have been in use: the one-size-fits-all approach (i.e. patients are isolated for a fixed number of days) and the personalized approach (i.e. based on repeated testing of isolated patients). We use a mathematical framework to model within-host viral dynamics and test different criteria for ending isolation. By considering a fixed time of 10 days since symptom onset as the criterion for ending isolation, we estimated that the risk of releasing an individual who is still infectious is low (0-6.6%). However, this policy entails lengthy unnecessary isolations (4.8-8.3 days). In contrast, by using a personalized strategy, similar low risks can be reached with shorter prolonged isolations. The obtained findings provide a scientific rationale for policies on ending the isolation of SARS-CoV-2-infected individuals.

Indexed as

Patient IsolationPractice Guidelines as TopicQuarantineSARS-CoV-2COVID-19HumansModels, TheoreticalMolecular Diagnostic TechniquesPandemicsPrecision MedicineViral LoadCOVID-19humaninfectious diseaseisolationmathematical modelmicrobiologypersonalized medicineSARS-CoV-2

Identifiers

PMID34311842
PMCPMC8315804
OpenAlexW3183956012

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.