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Record W2943810098 · doi:10.15537/smj.2019.5.24086

Comparison study between open and laparoscopic liver resection in a Saudi tertiary center

2019· article· en· W2943810098 on OpenAlex
Faisal A. Alsaif, Faisal Al-Alem, Mazen Hassanain, Rafif E. Mattar, Abdulsalam Alsharabi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSaudi Medical Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineSurgeryMalignancyLaparoscopyRetrospective cohort studyResectionSingle CenterOpen surgeryBlood lossBlood transfusionGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: To compare King Saud University Medical City experience in laparoscopic liver resection with our previously established database for open resections. METHODS: A retrospective study was conducted at King Saud University Medical City, Riyadh, Saudi Arabia. All adult patients who underwent liver resection from 2006 to 2017 were included. Patients who had their procedure converted to open were excluded. RESULTS: Among the 111 liver resections included, 22 (19.8%) were performed laparoscopically and 89 (80.1%) were performed using the open technique. Malignancy was the most common indication in both groups (78.5%). The mean operative time was 275 min (SD 92.2) in the laparoscopic group versus 315 min (SD 104.3) in the open group. Intraoperative blood transfusion was required in the laparoscopic (9%) and open groups (31.4%). The morbidity rate was 13.6% in the laparoscopic group and 31.4% in the open group, and the mortality rate was 0% in the laparoscopic group and 5.6% in the open group. CONCLUSION: Laparoscopic liver resection appears to be a safe technique and can be performed in various benign and malignant cases.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score1.000

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.084
GPT teacher head0.348
Teacher spread0.263 · 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