ReviewJournal of hospital medicine2015
Mobilization in severe sepsis: an integrative review.
Review in Journal of hospital medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Pooled it
- A Randomized Trial of an Intensive Physical Therapy Program for Patients with Acute Respiratory Failure.American journal of respiratory and critical care medicine · 2016Trial
- Timing matters: a machine learning-driven comparison of community and hospital-onset sepsis.BMC medical informatics and decision making · 2026Article
- Risk factors for decreased walking ability in hospitalized patients with aspiration pneumonia.The Journal of international medical research · 2023Observational
- Changes in Self-Rated Health After Sepsis in Older Adults: A Retrospective Cohort Study.Chest · 2020Article
- Tanshinol upregulates the expression of aquaporin 5 in lung tissue of rats with sepsis.Oncology letters · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Severe sepsis is a leading cause of long-term morbidity in the United States. Up to half of severe sepsis is treated in non–intensive care unit (ICU) settings, making it applicable to hospitalist practice. Evidence has demonstrated benefits from physical therapy (PT) in myriad conditions; whether PT may benefit severe sepsis patients either within or outside the ICU is unknown. Therefore, we conducted a review of the literature to understand whether early mobilization improves outcomes in patients with severe sepsis in non-ICU settings. We summarized the pathophysiology of functional decline in severe sepsis, the efficacy of PT in other patient populations, and the potential rationale for PT interventions in patients with severe sepsis. Multiple databases were searched for keywords including length of stay, mortality,costs, mobilization, and PT. Two authors (S.G. and V.C.) independently determined the eligibility of each study.A secondary review including studies of any infectious pathology with PT interventions or sepsis patients within the ICU was also conducted. Our search did not yield any primary literature regarding the impact of mobilization on severe sepsis outcomes in non-ICU settings. Only 1 retrospective study showed potential benefit of therapy in sepsis patients in the ICU. Similarly, in non-ICU settings, only 1 study that included patients with bacterial pneumonia reported outcomes after implementing an intervention consisting of early mobilization. These findings suggest that scant data regarding the efficacy of early mobilization following severe sepsis exist. Because hospitalists often care for this patient population, an opportunity for research in this area exists.
Indexed as
Identifiers
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.