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Record W4391613788 · doi:10.1186/s12957-023-03292-3

Efficacy and safety of laparoscopic liver resection versus radiofrequency ablation in patients with early and small hepatocellular carcinoma: an updated meta-analysis and meta-regression of observational studies

2024· review· en· W4391613788 on OpenAlexaboutno aff
Mahmoud Shaaban Abdelgalil, Basma Ehab Amer, Noha Samy Yasen, Mohamed El‐Samahy, Ahmed K. Awad, Bahaa Elfakharany, Omar Saeed, Mohamed Abd‐ElGawad

Bibliographic record

VenueWorld Journal of Surgical Oncology · 2024
Typereview
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsnot available
FundersScience and Technology Development Fund
KeywordsMedicineHepatocellular carcinomaRadiofrequency ablationInternal medicineMeta-analysisSubgroup analysisSurgical oncologyObservational studyLiver cancerCochrane LibraryRelative riskGastroenterologyOncologySurgeryConfidence intervalAblation

Abstract

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BACKGROUND: Hepatocellular carcinoma (HCC) is the most common type of liver cancer, accounting for 90% of cases worldwide and a significant contributor to cancer-related deaths. This study comprehensively compares the safety and efficacy of laparoscopic liver resection (LLR) versus laparoscopic or percutaneous radiofrequency ablation (LRFA or PRFA) in patients with early and small HCC. METHODS: We systematically searched Cochrane Library, PubMed, Scopus, and Web of Science databases to include studies comparing LLR versus LRFA or PRFA in patients with early HCC meets the Milan criteria (defined as solitary nodule < 5 cm or three nodules ≤ 3 cm with no extrahepatic spread or vascular invasion). Pooled results were examined for overall survival, disease-free survival, recurrence-free survival, local, intrahepatic and extrahepatic recurrence rates, and complications. We conducted subgroup analyses based on the type of RFA. Meta-regression analyzed the association between overall survival, local recurrence, and various factors. The quality of the included studies was assessed using the Newcastle-Ottawa Scale. We analyzed the data using the R (v.4.3.0) programming language and the "meta" package of RStudio software. RESULTS: We included 19 observational studies, compromising 3756 patients. LLR showed higher 5-year overall survival compared to RFA (RR = 1.17, 95% CI [1.06, 1.3], P > 0.01). Our subgroup analysis showed that LLR had higher 5-year survival than PRFA (RR = 1.15, 95% CI [1.02, 1.31], P = 0.03); however, there was no significant difference between LLR and LRFA (RR = 1.26, 95% CI [0.98, 1.63], P = 0.07). LLR was associated with higher disease-free survival) RR = 1.19, 95% CI [1.05, 1.35], P < 0.01; RR = 1.61, 95% CI [1.31, 1.98], P < 0.01(and recurrence-free survival) RR = 1.21, 95% CI [1.09, 1.35], P < 0.01; RR = 1.45, 95% CI [1.15, 1.84], P < 0.01(at 1 and 3 years. LLR was associated with lower local (RR = 0.28, 95% CI [0.16, 0.47], P < 0.01) and intrahepatic recurrence (RR = 0.7, 95% CI [0.5, 0.97], P = 0.03) than RFA. However, complications were significantly higher with LLR (RR = 2.01, 95% CI [1.51, 2.68], P < 0.01). Our meta-regression analysis showed that younger patients had higher risk for local recurrence (P = 0.008), while age wasn't significantly linked to overall survival (P = 0.25). Other covariates like total bilirubin, alpha-fetoprotein levels, and tumor size also showed no significant associations with either overall survival or local recurrence. CONCLUSION: LLR offers improved long-term outcomes and lower recurrence rates than PRFA. However, no significant distinctions were observed between LRFA and LLR in overall survival, recurrence-free survival, and local recurrence. More robust well-designed RCTs are essential to validate our findings.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.539
Threshold uncertainty score0.830

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0010.001
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 head0.312
GPT teacher head0.381
Teacher spread0.069 · 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.

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

Citations6
Published2024
Admission routes1
Has abstractyes

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