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Record W4390604823 · doi:10.24875/cirue.m21000377

Distal pancreatectomy: experience in a National Hospital

2024· article· de· W4390604823 on OpenAlexaff
Fernando Revoredo Rego, Gustavo Reaño-Paredes, José de Vinatea-de Cárdenas, Fritz Kometter-Barrios, Luis Villanueva-Alegre, Guillermo Herrera-Chávez, José L. Arenas-Gamio

Bibliographic record

VenueCirugía y Cirujanos (English Edition) · 2024
Typearticle
Languagede
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsPancreatectomyGeneral surgeryMedicineDistal pancreatectomyTotal pancreatectomySurgeryResection

Abstract

fetched live from OpenAlex

Aims: To compare the short-term outcomes of patients undergoing open DP (ODP) and laparoscopic DP (LDP); and to analyze the association between the section site of the pancreas and pancreatic fistula.Materials and methods: Clinical, perioperative, and histopathologic data of patients who underwent ODP and LDP between 2009 and 2019 were retrospectively analyzed.Results: 70 patients were registered.39 (56%) underwent ODP and 31 (44%) underwent LDP.The tumor size in ODP group was 70mm and in LDP group was 45mm (p = 0.032) Blood loss was lower in LDP group (229mL versus 498mL) (p = 0.001).Operative time, spleen preservation, B/C pancreatic fistula, major morbidity, reoperation, and length of hospital stay, were similar in both groups.There was no postoperative mortality.No differences were found in B/C pancreatic fistula rate regarding to pancreatic transection site.Conclusions: LDP is a safe procedure, with perioperative outcomes similar to ODP and with less blood loss.The pancreatic transection site did not influence post-operative pancreatic fistula rate.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.327
Teacher spread0.302 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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