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Record W2312927251 · doi:10.1097/sle.0b013e31820651b3

Equivalency of Lymph Node Harvest in Laparoscopic Versus Open Colorectal Cancer Procedures

2011· article· en· W2312927251 on OpenAlexaff
Justin Rivard, David Hochman

Bibliographic record

VenueSurgical Laparoscopy Endoscopy & Percutaneous Techniques · 2011
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Surgical Treatments
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineColorectal cancerLaparoscopic surgeryLymphLymph nodeAnesthesiologyGeneral surgeryOpen surgerySurgical oncologyColorectal surgeryLaparoscopySurgeryCancerInternal medicineAbdominal surgeryAnesthesiaPathology

Abstract

fetched live from OpenAlex

PURPOSE: To compare the number of lymph nodes harvested in laparoscopic versus open colorectal cancer surgery early in a surgeon's career. METHODS: We reviewed the data of 80 patients operated upon with a primary diagnosis of colorectal cancer between September 2006 and June 2008. All data were from a single fellowship trained colorectal surgeon. The effects of laparoscopic versus open surgery, and neoadjuvant radiation were examined to assess lymph node harvest. RESULTS: There was no statistically significant difference between the lymph nodes harvested during laparoscopic versus open surgery (17.4 vs 18.5; P=0.5920). The amount of lymph nodes harvested decreased with increasing American Society of Anesthesiology grade (22.4, 17.1, 19.2, 7.0 for American Society of Anesthesiology grade I, II, III, IV, respectively; P=0.0412) and with neoadjuvant radiotherapy (18.7 vs 13.2; P=0.0151). CONCLUSIONS: Laparoscopic colorectal cancer surgery results in the same number of lymph nodes being harvested as in open surgery.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.047
GPT teacher head0.352
Teacher spread0.305 · 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 designBench or experimental
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

Citations6
Published2011
Admission routes1
Has abstractyes

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