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Record W1606698963

Laparoscopic surgery for colon cancer: a systematic review.

2007· review· en· W1606698963 on OpenAlexaff
Kamyar Kahnamoui, Margherita Cadeddu, Forough Farrokhyar, Mehran Anvari

Bibliographic record

VenuePubMed · 2007
Typereview
Languageen
FieldMedicine
TopicColorectal Cancer Surgical Treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineColorectal cancerPerioperativeColectomyLaparoscopic surgeryCancerRandomized controlled trialSurgeryLaparoscopyGeneral surgeryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: Colorectal cancer is the second leading cause of cancer-related death in western countries. The objective of this systematic review was to show that laparoscopic-assisted colon resection for cancer is not inferior to open colectomy with respect to cancer survival and perioperative outcomes. METHOD: We performed a comprehensive literature review. Inclusion criteria were adults aged over 16 years with a colon resection for documented colon cancer and randomized controlled trials with laparoscopic- assisted or open resections. We excluded studies that did not document colon cancer recurrence in their article. We assessed data extraction and study quality and performed a quantitative data analysis. RESULTS: Six published and 4 unpublished studies fulfilled our inclusion criteria, with a total of 1262 patients. All primary and secondary outcomes showed good homogeneity, except for morbidity, which was described heterogeneously between the studies. There was no disadvantage to laparoscopic colon resection in any of these primary and secondary outcomes, compared with the conventional open technique. CONCLUSION: The results of this study suggest that, although there is no definitive answer, present evidence indicates that laparoscopic colon cancer resection is as safe and efficacious as the conventional open technique.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.543
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0080.002
Bibliometrics0.0000.001
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 head0.165
GPT teacher head0.405
Teacher spread0.241 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations45
Published2007
Admission routes1
Has abstractyes

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