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Comparison of outcomes between open and minimally invasive hepatic resections for hepatocellular carcinoma: A retrospective analysis.

2025· article· en· W4410815308 on OpenAlexaff
HARJEEVAN KALRA, Balkiranjit Kaur Dhillon, Dhruvkumar Gadhiya, Renuka Verma, Anaiya Singh, Rahul Singla, Saisree Reddy Adla Jala, Hemamalini Sakthivel, Kamleshun Ramphul, Suma Sri Chennapragada

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsBrampton Civic Hospital
Fundersnot available
KeywordsMedicineHepatocellular carcinomaRetrospective cohort studySurgeryHepatectomyGeneral surgeryRadiologyOncologyInternal medicineResection

Abstract

fetched live from OpenAlex

4110 Background: Recent data from the United States indicate that the incidence of hepatocellular carcinoma (HCC) has tripled over the past 40 years, with risk factors like obesity-related fatty liver disease and chronic hepatitis C on the rise. Despite advances in treatment, the five-year survival rate remains low at 14%. Minimally Invasive Surgery (MIS) has garnered popularity in hepato-pancreato-biliary (HPB) procedures, comprising 1 in 13 cases. MIS offers advantages such as shorter hospital stays and reduced morbidity, with better outcomes. However, the safety and efficacy of MIS, specifically for HCC resection, remain underexplored. To address this gap, we conducted this study to evaluate and compare the outcomes of MIS vs. open surgical approaches for HCC resection. Methods: The 2016–2022 National Inpatient Sample (NIS) was utilized for this study. Patients with a primary procedural code for hepatic resection, categorized as either open or minimally invasive approaches, were identified. This cohort was further narrowed to include only patients diagnosed with hepatocellular carcinoma (HCC). Differences in common postoperative complications between open and minimally invasive approaches were analyzed. Results: We studied 3,595 hepatic resections for HCC, with 87.5% performed as open procedures and 12.5% as minimally invasive surgeries. Both approaches were predominantly conducted in males (70.9% vs. 75.6%, p = 0.041), with open resection patients being younger (mean age 63.94 vs. 66.67, p < 0.01). Open resections were associated with higher complication rates, including critical care needs (aOR 6.428, 95% CI 2.606–15.858, p < 0.001), sepsis (aOR 3.728, 95% CI 1.508–9.215, p = 0.004), acute kidney injury(AKI) (aOR 2.406, 95% CI 1.714–3.337, p < 0.001), bleeding (aOR 2.314, 95% CI 1.838–2.914, p < 0.001), and blood transfusion requirements (aOR 4.514, 95% CI 2.661–7.658, p < 0.001). Open procedures also resulted in higher mean hospital charges ($180,561 vs. $131,566, p < 0.01) and more extended hospital stays (8.5 vs. 5.3 days, p < 0.01). Despite these differences, mortality rates between open and minimally invasive approaches were similar (aOR 1.486, 95% CI 0.85–2.595, p = 0.164). Conclusions: Our study found that open hepatic resection for HCC is associated with a higher rate of complications, including bleeding, AKI , increased critical care needs, and blood transfusion requirements, compared to minimally invasive surgery. However, mortality rates between the two approaches remain comparable. With the rising incidence of HCC, transitioning toward MIS may provide notable benefits in reducing postoperative morbidity. Since most hepatic resections are still performed using open techniques, further research is necessary to enhance surgical outcomes and explore alternative strategies.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.296
GPT teacher head0.502
Teacher spread0.207 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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