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Surgical Volume and Long-Term Survival Following Surgery for Colorectal Cancer in the Veterans Affairs Health-Care System

2004· article· en· W2054884591 on OpenAlexaff
Linda Rabeneck, Jessica A. Davila, Michael D. Thompson, Hashem B. El‐Serag

Bibliographic record

VenueThe American Journal of Gastroenterology · 2004
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Surgical Treatments
Canadian institutionsToronto Public HealthUniversity of Toronto
FundersNational Institute of Diabetes and Digestive and Kidney Diseases
KeywordsMedicineVeterans AffairsComorbidityColorectal cancerCancerSurgeryProportional hazards modelCohortColectomyGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this study was to examine the relationship between hospital surgical volume and long-term survival in patients with a new diagnosis of colorectal cancer who underwent surgical resection during fiscal years 1991-2000 in the Veterans Affairs (VA) health-care system. METHODS: This research was a cohort study of patients admitted to all VA hospitals with a new diagnosis of colorectal cancer who underwent surgical resection between October 1990 and September 2000 and followed through September 2001. Overall 5-yr cumulative survival was calculated from Kaplan-Meier estimates, while adjusted risk of death was estimated using a Cox proportional hazards model. Adjustment was made for differences in patient characteristics including comorbidity, receipt of therapy, and year of surgery. RESULTS: We identified 34,888 individuals with a new diagnosis of colorectal cancer in VA hospitals during fiscal years 1991-2000, of whom 22,633 (65%) underwent surgical resection. The majority (98.5%) were men, the mean age was 68 yr, and the two largest race/ethnic groups were whites (75%) and blacks (17%). The 5-yr cumulative survival was greater among those who received surgery in high surgical volume hospitals as defined by 25 or more procedures per year (52.1%) than among those who received surgery in low volume hospitals (48.3%). After adjusting for differences in patient characteristics, comorbidity, receipt of adjuvant therapy, and year of surgery, we found 7% and 11% increases in 5-yr survival for patients with colon and rectal cancers, respectively, who underwent surgical resection in high volume hospitals compared with those who had surgery in low volume hospitals. CONCLUSIONS: Greater hospital surgical volume is an independent predictor of prolonged long-term survival following surgery for both colon and rectal cancer in the VA health-care system. The volume-long-term mortality relationship is greater for rectal than for colon cancer patients, perhaps reflecting the fact that surgery for rectal cancer is more technically demanding. Future studies are needed to discover what aspects of clinical management explain these differences.

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)0.000
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 score0.026
Threshold uncertainty score0.455

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.016
GPT teacher head0.306
Teacher spread0.290 · 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.

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

Citations80
Published2004
Admission routes1
Has abstractyes

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