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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

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.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.005
Threshold uncertainty score0.427

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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