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Record W4388952025 · doi:10.1111/codi.16808

The impact of operative approach for obese colorectal cancer patients: analysis of the National Inpatient Sample 2015–2019

2023· article· en· W4388952025 on OpenAlex
Kathleen Logie, Tyler McKechnie, Gaurav Talwar, Yung Lee, Sameer Parpia, Nalin Amin, Aristithes G. Doumouras, Dennis Hong, Cagla Eskicioglu

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.

Bibliographic record

VenueColorectal Disease · 2023
Typearticle
Languageen
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsSt. Joseph’s Healthcare HamiltonImpactMcMaster University
Fundersnot available
KeywordsMedicineOdds ratioColorectal cancerConfidence intervalHealthcare Cost and Utilization ProjectRetrospective cohort studyBody mass indexLogistic regressionObesityLaparoscopyLaparoscopic surgeryPopulationSurgeryCancerInternal medicineHealth care

Abstract

fetched live from OpenAlex

AIM: Obesity is a well-established risk factor for the development of colorectal cancer. As such, patients undergoing surgery for colorectal cancer have increasingly higher body mass indices (BMIs). The advances in minimally invasive surgical techniques in recent years have helped surgeons circumvent some of the challenges associated with operating in the setting of obesity. While previous studies suggest that laparoscopy improves outcomes compared with open surgery in obese patients, this has never been established at the population level. Therefore, we designed a retrospective database study using the National Inpatient Sample (NIS) with the aim of comparing laparoscopic with open approaches for obese patients undergoing surgery for colorectal cancer. METHOD: undergoing surgery for colorectal cancer. The primary outcomes were postoperative in-hospital morbidity and mortality. Secondary outcomes included postoperative system-specific complications, total admission healthcare cost and length of stay (LOS). Multivariable logistic and linear regressions were utilized to compare the two operative approaches. RESULTS: A total of 4742 patients underwent open surgery and 3231 underwent laparoscopic surgery. We observed a significant decrease in overall postoperative morbidity [17.5% vs. 31.4%, adjusted odds ratio (aOR) 0.56, 95% confidence interval (CI) 0.50-0.64; p < 0.001], gastrointestinal morbidity (8.1% vs. 14.5%, aOR 0.59, 95% CI 0.50-0.69; p < 0.001) and genitourinary morbidity (10.1% vs. 18.6%, aOR 0.61, 95% CI 0.52-0.70; p < 0.001) with the use of laparoscopy. Postoperative LOS was 1.7 days shorter (95% CI 1.5-2.0, p < 0.001) and cost of admission was decreased by $9106 (95% CI $4638-$13 573, p < 0.001) with laparoscopy. CONCLUSION: Laparoscopic surgery for obese patients with colorectal cancer is associated with significantly decreased postoperative morbidity and improved healthcare resource utilization compared with open surgery. Laparoscopic approaches should be relied upon whenever feasible for these patients.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.024
Threshold uncertainty score0.290

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.002
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 head0.023
GPT teacher head0.339
Teacher spread0.316 · 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