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Record W2568450756 · doi:10.1080/0284186x.2016.1267872

Preoperative modifiable risk factors in colorectal surgery: an observational cohort study identifying the possible value of prehabilitation

2017· article· en· W2568450756 on OpenAlexaffabout
Stefanus J. van Rooijen, Francesco Carli, Susanne Oksbjerg Dalton, Christoffer Johansen, Jeanne P. Dieleman, Rudi M. H. Roumen, Gerrit D. Slooter

Bibliographic record

VenueActa Oncologica · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsMcGill UniversityMontreal General Hospital
Fundersnot available
KeywordsMedicinePrehabilitationOdds ratioInternal medicineCohortColorectal surgeryColorectal cancerRisk factorCohort studyLogistic regressionSurgeryCancerAbdominal surgeryPhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: Colorectal cancer (CRC) is the second most prevalent type of cancer in the world. Surgery is the most common therapeutic intervention, and associated with 20-40% reduction in physiological and functional capacity. Postoperative complications occur in up to 50% of patients resulting in higher mortality rates and greater hospital costs. The number and severity of complications is closely related to patients' preoperative performance status. The aim of this study was to identify the most important preoperative modifiable risk factors that could be part of a multimodal prehabilitation program. METHODS: Prospectively collected data of a consecutive series of Dutch CRC patients undergoing colorectal surgery were analyzed. Modifiable risk factors were correlated to the Comprehensive Complication Index (CCI) and compared within two groups: none or mild complications (CCI <20), and severe complications (CCI ≥20). Multivariate logistic regression analysis was done to explore the combined effect of individual risk factors. RESULTS: In this 139 patient cohort, smoking, malnutrition, alcohol consumption, neoadjuvant therapy, higher age, and male sex, were seen more frequently in the severe complications group (CCI ≥20). Patients with severe complications had significantly longer hospital stay (16 vs. 6 days, p < 0.001). The risk for severe complications was increased in patients with ASA score III [adjusted odds ratio (OR) 4.4, 95% CI 1.04-18.6], and hemoglobin level <7 mmol/l (adjusted OR 3.3, 95% CI 1.3-8.2). Compared to having no risk factors, more than one risk factor increased OR of severe complications (crude OR 5.2, 95% CI 1.8-15). CONCLUSION: This study revealed that the risk of getting severe complications increases with the number of risk factors present preoperatively. Several preoperative patient-related risk factors are modifiable. Multimodal prehabilitation may improve patients' preoperative status and should be tested in a multicenter randomized controlled trial. With an international consortium (Copenhagen, Montreal, Paris, Eindhoven) we initiated a randomized controlled trial (NTR5947).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.104
GPT teacher head0.371
Teacher spread0.267 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations105
Published2017
Admission routes2
Has abstractyes

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