Evidence map›Paper›PMID 35984418›Full record

Observational studyAnnals of the American Thoracic Society2023

Intensive Care Unit versus High-dependency Care Unit for COVID-19 Patients with Invasive Mechanical Ventilation.

Hiroyuki Ohbe, Yusuke Sasabuchi, Masao Iwagami, Takayuki Ogura, Sachiko Ono, Hiroki Matsui, Hideo Yasunaga

Open access · hybridAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Annals of the American Thoracic Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. The COVID-19 challenge. What have we learned?Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2022
    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

7 authors at 5 institutions in 2 countries.

Hiroyuki OhbeDepartment of Clinical Epidemiology and Health Economics, School of Public Health, and.ORCID 0000-0001-8544-2569
Yusuke SasabuchiData Science Centre, Jichi Medical University, Shimotsuke, Tochigi, Japan.ORCID 0000-0001-7828-0549
Masao IwagamiDepartment of Health Services Research, University of Tsukuba, Tsukuba, Ibaraki, Japan; and.ORCID 0000-0001-7079-0640
Takayuki OguraDepartment of Emergency Medicine and Critical Care Medicine, Tochigi Prefectural Emergency and Critical Care Centre, Imperial Foundation Saiseikai, Utsunomiya Hospital, Utsunomiya-shi, Tochigi, Japan.ORCID 0000-0002-2525-4985
Sachiko OnoDepartment of Eat-loss Medicine, Graduate School of Medicine, The University of Tokyo, Bunkyo City, Tokyo, Japan.ORCID 0000-0003-4378-2578
Hiroki MatsuiDepartment of Clinical Epidemiology and Health Economics, School of Public Health, and.ORCID 0000-0003-0004-4743
Hideo YasunagaDepartment of Clinical Epidemiology and Health Economics, School of Public Health, and.ORCID 0000-0002-6017-469X
Faculty of Public Health · GBJichi Medical University · JPSaiseikai Utsunomiya hospital · JPThe University of Tokyo · JPUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19Respiration, ArtificialCritical CareHumansIntensive Care UnitsRetrospective Studiescoronavirus disease 2019high-dependency care unitintensive care unitmechanical ventilationpropensity score

Identifiers

PMID35984418
PMCPMC9819267
OpenAlexW4292367209

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.