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IDDF2018-ABS-0195 Reduced muscle (RADIO) density and barcelona clinic liver cancer (BCLC) staging are independently survival prognostic of indonesia hepatocellular carcinoma (HCC) patients

2018· article· en· W2920855094 on OpenAlexaboutno aff
Yan Mardian, Yoshihiko Yano, Neneng Ratnasari, Lina Choridah, Fahmi Indrarti, Putut Bayupurnama, Catharina Triwikatwani, Nurhuda Hendra Setyawan, Yoshitake Hayashi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsnot available
Fundersnot available
KeywordsHepatocellular carcinomaLiver cancerMedicineInternal medicineCancerCarcinomaOncologyGastroenterology

Abstract

fetched live from OpenAlex

Background Body composition components (Sarcopenia and intramuscular fat [IMF] deposition) were proven as risk factors predicting poor survival among HCC patients in the Japanese population. Since HCC characteristics were peculiar in Indonesia: advanced-stage at presentation; early-age onset; and HBV endemicity; our objective was to demonstrate key determinants of HCC prognosis in Indonesia. Methods Skeletal muscle index (SMI) and mean muscle attenuation (MA) were measured from transverse Computed Tomography (CT) images at the third lumbar vertebra (L3) in a prospective cohort of 49 Indonesia patients with different stages of HCC. Images were analysed using SliceOmatic V5.0 (Tomovision, QC Canada), which enables specific tissue demarcation using Hounsfield unit (HU) thresholds. Clinical, laboratory and body composition assessments are comprehensively analysed using Kaplan-Meier procedure and Cox’s regression model to investigate critical features associated with prognosis. Results Patients with low MA (called intramuscular fat [IMF] deposition) had shorter median survival than non-IMF deposition (73 11.61 vs. 252 26.56 days, p=0.008) as also observed shorter in patients with alpha-fetoprotein (AFP) level ≥200 ng/ml than AFP <200 ng/ml (69 31.31 vs. 92 86.03 days, p=0.015) as depicted in IDDF2018-ABS-0195 Figure 1. By univariate analysis, IMF deposition (p=0.012), HBV (p=0.048), Child-Pugh (CP) class B (p=0.019), CP class C (p<0.001), BCLC stage C (p=0.009), BCLC stage D (p<0.001) and AFP ≥200 ng/ml (p=0.018) were significantly associated with mortality. However, multivariate analysis revealed that only IMF deposition (HR, 2.390; 95% CI, 1.007–5.673; p=0.048), BCLC stage C (HR, 4.641; 95% CI, 1.369–15.732; p=0.014) and BCLC stage D (HR, 14.681; 95% CI, 3.158–68.253; p=0.001) were independently associated with mortality. Conclusions Muscle Attenuation and BCLC stage were significant independent predictors of survival in HCC Indonesian patients. External validation of these prognostic factors in larger cohorts of HCC patients is warranted.

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)0.000
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 score0.009
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.051
GPT teacher head0.309
Teacher spread0.257 · 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
Published2018
Admission routes1
Has abstractyes

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