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Record W7029332542

Impact of early mobilization on outcomes after colorectal surgery

2016· dissertation· en· W7029332542 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2016
Typedissertation
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsnot available
FundersFonds de Recherche du Québec - SantéMcGill University Health CentreMcGill University
KeywordsObservational studyColorectal surgerySupine positionRandomized controlled trialMobilizationProtocol (science)PrehabilitationQuality of life (healthcare)Sitting
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Early mobilization is a key aspect of postoperative care. The main benefits include prevention of the deleterious side effects of bed rest, which include venous thromboembolism, pulmonary complications, muscle wasting and physical deconditioning. Early physical activity may have many other potential benefits on different aspects of recovery after surgery, such as clinical outcomes, functional status and quality of life. The objective of the research contained within this thesis is two-fold: (1) to examine the current body of evidence regarding the impact of early postoperative mobilization protocols on outcomes after abdominal and thoracic surgery, and (2) to explore the relationship between early physical activity and specific clinical outcomes in an observational study involving patients undergoing colorectal surgery. Methods: A systematic review of the literature was performed according to the PRISMA guidelines. Eight electronic databases were searched in order to identify studies comparing patients receiving a specific protocol of early mobilization to a control group. Methodological quality was assessed using the Downs and Black tool. An observational study was subsequently carried out by conducting a secondary analysis of data from a randomized controlled trial. Sixty consecutive, adult, postoperative colorectal resection patients cared for in a multi-interventional standardized Enhanced Recovery Program were included. All patients wore an activity monitor to collect physical activity data from postoperative day (POD) 0 to POD 3, which included step counts and time spent in the standing, sitting and supine positions. Outcomes included hospital LOS, time to passage of first flatus, time to return of GI function (i.e. tolerance of solid oral intake and defecation), and serious in-hospital complications. Statistical analysis was performed using linear and logistic regression models. Results: Systematic review demonstrated that there are very few comparative studies evaluating the impact of early mobilization protocols on outcomes after abdominal and thoracic surgery, and that most of these studies were of poor quality. There were eight comparative studies that fit the review's inclusion criteria, and they reported inconsistent results regarding the impact of early mobilization protocols on postoperative complications, length of hospital stay (LOS), return of gastrointestinal (GI) function, performance-based functional outcomes and patient-reported outcomes. There is minimal literature to suggest a positive impact of early mobilization protocols on clinical, functional and health-related quality of life outcomes after abdominal and thoracic surgery. However, in our observational study, increased step counts, standing time, sitting time and non-supine time were each associated with a reduction in LOS. Increased standing time was also associated with a significant decrease in time to return of GI function. Conclusion: While systematic review of the small number of previous trials did not support the use of a specific mobilization protocol to improve outcomes after abdominal or thoracic surgery, our observational study suggests an association between increased postoperative mobilization and improved in-hospital outcomes, which is encouraging for future research. High-quality comparative studies are needed to evaluate the impact of interventions to increase mobilization on postoperative outcomes. Results from these studies may help to guide clinicians and hospital administrators regarding the allocation of resources to this potentially resource-intensive intervention.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.276
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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