Evidence map›Paper›PMID 32766565›Full record

ArticleCritical care explorations2020

Evaluation of Coronavirus Disease 2019 Severity Using Urine Biomarkers.

Daisuke Katagiri, Masahiro Ishikane, Yusuke Asai, Noriko Kinoshita, Masayuki Ota, Yuki Moriyama, Satoshi Ide, Keiji Nakamura, Takato Nakamoto, Hidetoshi Nomoto and 23 more

Registry-linked trialAbstract read
In one paragraph

Article in Critical care explorations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04681040 (Monitoring of COVID-19 Using Urine POC Kit), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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.

NCT04681040 unknown statusnot on this map

Monitoring of COVID-19 Using Urine POC Kit

TypeobservationalSponsorNational Center for Global Health and Medicine, JapanRan2020 to 2024Enrolled964ConditionsCovid19, Urine, Biomarker, Acute Respiratory Failure With Hypoxia
3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Urine oxygenation predicts COVID-19 risk.Clinical and experimental nephrology · 2024
    Review
  4. Article
  5. Article
  6. Evaluation of Plasma Biomarkers to Predict Major Adverse Kidney Events in Hospitalized Patients With COVID-19.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Urine sediment findings were milder in patients with COVID-19-associated renal injuries than in those with non-COVID-19-associated renal injuries.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Discovery Proteomics for COVID-19: Where We Are Now.Journal of proteome research · 2021
    Review
  17. Article
  18. External validation and update of prediction models for unfavorable outcomes in hospitalized patients with COVID-19 in Japan.Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy · 2021
    Article
  19. 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

33 authors.

Daisuke KatagiriDepartment of Nephrology, National Center for Global Health and Medicine, Tokyo, Japan.
Masahiro IshikaneDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Yusuke AsaiAntimicrobial Resistance Clinical Reference Center, Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Noriko KinoshitaDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Masayuki OtaDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Yuki MoriyamaDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Satoshi IdeDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Keiji NakamuraDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Takato NakamotoDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Hidetoshi NomotoDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Yutaro AkiyamaDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Yusuke MiyazatoDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Tetsuya SuzukiDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Ayako OkuhamaDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Kohei KandaDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Yuji WakimotoDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Shinichiro MoriokaDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Sho SaitoDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Kei YamamotoDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Mugen UjiieDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Kayoko HayakawaDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Satoshi KustunaDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Yasuaki YanagawaAIDS Clinical Center, National Center for Global Health and Medicine, Tokyo, Japan.
Junko TeradaDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Jin TakasakiDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Shinyu IzumiDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Masayuki HojoDepartment of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan.
Fumihiko HinoshitaDepartment of Nephrology, National Center for Global Health and Medicine, Tokyo, Japan.
Masaya SugiyamaGenome Medical Sciences Project, Research Institute, National Center for Global Health and Medicine, Ichikawa, Japan.
Eisei NoiriNational Center Biobank Network, National Center for Global Health and Medicine, Tokyo, Japan.
Masashi MizokamiGenome Medical Sciences Project, Research Institute, National Center for Global Health and Medicine, Ichikawa, Japan.
Norio OhmagariDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Haruhito SugiyamaNational Center for Global Health and Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

subjectsEarly detection of coronavirus disease 2019 in patients likely to develop severe manifestations enables appropriate interventions, including rapid ICU admission. This study was conducted to determine whether noninvasive urine biomarkers can predict the clinical severity of coronavirus disease 2019.

interventionsNot applicable. MEASUREMENTS AND MAIN

resultsThis is single-center study, national center hospital designated for infectious disease. Fifty-eight patients who tested positive for severe acute respiratory syndrome coronavirus 2 in respiratory specimens through real-time reverse transcription-polymerase chain reaction were retrospectively studied. Urinary β2-microglobulin, liver-type fatty acid-binding protein were serially measured. Serum interferon-γ and monocyte chemotactic protein-1 were also evaluated. The 58 patients were assigned into three groups. Patients requiring intensive care were assigned to the severe group (

conclusionsEvaluating urinary biomarkers such as β2-microglobulin and liver-type fatty acid-binding protein may allow determination of coronavirus disease 2019 patients with active cytokines and recognition of patients likely to become critically ill and requiring careful observation and early intervention.

Indexed as

acute kidney injurycoronavirus disease 2019cytokineliver-type fatty acid-binding proteinurinary biomarkerβ2-microglobulin

Identifiers

PMID32766565
PMCPMC7402421

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.