ArticleJournal of the American Geriatrics Society2023
Clin-STAR corner: Recent practice-changing studies at the interface of pulmonary and critical care medicine and geriatrics.
Article in Journal of the American Geriatrics Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
3 authors.
Funding
Abstract
Older adults suffering from chronic pulmonary diseases, such as chronic obstructive pulmonary disease and interstitial lung disease, and critical illnesses, such as sepsis and acute respiratory failure, are more vulnerable to adverse outcomes like disability and greater side effects from treatments. In this update, we discuss recent practice-changing clinical trials and observational studies in Pulmonary & Critical Care Medicine that have advanced our understanding of the diagnosis or management of older adults with chronic lung diseases or critical illnesses.
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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.