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Record W4389763246 · doi:10.1097/js9.0000000000000742

Perioperative and long-term survival outcomes of pancreatectomy with arterial resection in borderline resectable or locally advanced pancreatic cancer following neoadjuvant therapy: a systematic review and meta-analysis

2023· review· en· W4389763246 on OpenAlexaboutno aff
Kang Xue, Xing Huang, Pengcheng Zhao, Yi Zhang, Bole Tian

Bibliographic record

VenueInternational Journal of Surgery · 2023
Typereview
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePerioperativeMeta-analysisPancreatectomyPancreatic cancerNeoadjuvant therapyResectionOncologySurgeryInternal medicineCancer

Abstract

fetched live from OpenAlex

BACKGROUND: Pancreatic cancer frequently involves the surrounding major arteries, preventing surgeons from making a radical excision. Neoadjuvant therapy (NAT) can lessen the size of local tumors and eliminate potential micrommetastases. However, systematic and evidence-based recommendations for the treatment of arterial resection (AR) after NAT in pancreatic cancer are scarce. METHOD: A computerized search of the Medline, Embase, Cochrane Library databases, and Clinicaltrials was performed to identify studies reporting the outcomes of patients who underwent pancreatectomy with AR and NAT for pancreatic cancer. Studies that reported perioperative and/or long-term results after pancreatectomy with AR and NAT were eligible for inclusion. The quality of the evidence was assessed with Newcastle-Ottawa Quality Assessment Form of bias tool. Data were pooled and analyzed by Stata 14.0 software. RESULT: Nine studies with an overall sample size of 215 met our eligibility criteria and were included in the meta-analysis. All studies were retrospective studies, and the methodological quality was moderate. The pooled morbidity and mortality rates were 51% (95% CI: 41-61%; I²= 0.0%) and 2% (95% CI: 0-0.08; I²=33.3%), respectively. Meta-analysis showed that the overall R0 resection rate was 79% (CI: 70-86%, I²=15.5%). Comparative data on R0 rates of patients who underwent pancreatectomy with and without NAT showed a significant difference in favor of the former group with moderate statistical heterogeneity (Relative risk=1.21; 95% CI: 0.776-1.915; I²=48.0%). The median 1-, 2-, 3-, and 5-year survival rates of patients who had AR were 92.3% (range: 72.7-100%), 64.8% (range: 25-78.8%), 51.6% (range: 16.7-63.6%), and 14% (range: 0-41.1%), respectively. Data on median progression-free survival ranged from 5.25 to 36.3 months, and the median overall survival ranged from 17 to 44.9 months. CONCLUSIONS: Pancreatectomy with major AR following NAT has the potential to enhance the survival rate of patients with unresectable pancreatic cancer involving the arteries by achieving R0 resection, despite a significant risk of postoperative complications. However, to validate the feasibility and effectiveness of this procedure, prospective controlled studies are necessary to address limitations arising from small sample sizes and potential biases inherent in retrospective studies.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.026
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0160.045
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.173
GPT teacher head0.453
Teacher spread0.281 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
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

Citations19
Published2023
Admission routes1
Has abstractyes

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