ArticleJournal of intensive care2024
The method to identify invasive mechanical ventilation with Japanese claim data.
Article in Journal of intensive care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Reply to the comment by Sakamoto et al. on "The method to identify invasive mechanical ventilation with Japanese claim data".Journal of intensive care · 2024Article
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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dr. Ohbe et al. reported that only 40.4% of patients who underwent invasive mechanical ventilation were treated in intensive care units, with significant variations in intensive care unit admission rates observed between hospitals and regions using Japanese claims data. The issue of validation when using claim data has been reported in previous studies. The definition of invasive mechanical ventilation used by Dr. Ohbe et al. appears overly broad, encompassing non-invasive mechanical ventilations via nasal mask and manual ventilation. We discuss the limitation of their method in identifying invasive mechanical ventilation, which is critical for defining the study population.
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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.