ArticleAnnals of the American Thoracic Society2020
The Association of Geographic Dispersion with Outcomes among Hospitalized Pulmonary Service Patients.
Article in Annals of the American Thoracic Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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Who cites it
7 citing papers in PubMed.
- Geographic cohorting by clinical care team: a narrative review.Annals of palliative medicine · 2023Review
- Impact of Antibiotic Time-Outs in Multidisciplinary ICU Rounds for Antimicrobial Stewardship Program on Patient Survival: A Controlled Before-and-After Study.Critical care explorations · 2023Article
- Assessing mortality differences across acute respiratory failure management strategies in Covid-19.Journal of critical care · 2022Article
- Are disruptions to geographic cohorting safe?Journal of hospital medicine · 2022Article
- Diagnostic precision and identification of rare diseases is dependent on distance of residence relative to tertiary medical facilities.Orphanet journal of rare diseases · 2021Article
- Association of a Novel Index of Hospital Capacity Strain with Admission to Intensive Care Units.Annals of the American Thoracic Society · 2020Article
- "Microclimates" of Care for Hospitalized Patients with Pulmonary Disease: An Idea That Will Bear Fruit?Annals of the American Thoracic Society · 2020Article
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Authors and funding
9 authors.
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Abstract
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What OpenQuestion holds
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.