Evidence map›Paper›PMID 31659612›Full record

ArticleDigestive diseases and sciences2020

A New Prognostic Model Based on Albumin-Bilirubin Grade for Hepatocellular Carcinoma Beyond the Milan Criteria.

Shu-Yein Ho, Po-Hong Liu, Chia-Yang Hsu, Cheng-Yuan Hsia, Yi-Hsiang Huang, Chien-Wei Su, Hao-Jan Lei, Rheun-Chuan Lee, Ming-Chih Hou, Teh-Ia Huo

Abstract read
PubMed Publisher
In one paragraph

Article in Digestive diseases and sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 2 countries.

Shu-Yein HoDepartment of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Po-Hong LiuFaculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan.
Chia-Yang HsuFaculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan.
Cheng-Yuan HsiaDepartment of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan.
Yi-Hsiang HuangDepartment of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Chien-Wei SuDepartment of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Hao-Jan LeiDepartment of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan.
Rheun-Chuan LeeDepartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Ming-Chih HouDepartment of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Teh-Ia HuoDepartment of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan. tihuo@vghtpe.gov.tw.ORCID 0000-0003-2202-521X
National Yang Ming Chiao Tung University · TW

Funding

Taipei Veterans General Hospital V108C-008Taipei Veterans General Hospital VN108-05
6 · The paper itself

Abstract

backgroundThe survival of patients with advanced hepatocellular carcinoma (HCC) is highly variable due to heterogeneous tumoral characteristics. We proposed and validated an albumin-bilirubin (ALBI)-based model for HCC beyond Milan criteria, the ALBI-HOME, for these patients.

methodsA total of 2186 patients were enrolled and randomly assigned to the derivation cohort (n = 1093) and validation cohort (n = 1093). Multivariate Cox proportional hazards model was used to determine significant prognostic factors in the derivation cohort. The performance of ALBI-HOME was evaluated in the validation cohort.

resultsIn the Cox model, six factors were identified as independent predictors of poor survival: ALBI grade 2 [hazard ratio (HR) 1.848, 95% confidence incidence (CI) 1.556-2.195, p < 0.001], ALBI grade 3 (HR 3.266, 95% CI 2.531-4.215, p < 0.001), serum AFP ≥ 100 ng/ml (HR 1.482, 95% CI 1.279-1.717, p < 0.001), total tumor volume ≥ 250 cm

conclusionsThe proposed ALBI-HOME is a simple and feasible predictive model for HCC beyond Milan criteria. It demonstrates superior prognostic performance among the currently used staging systems and may help identify at-risk patients to undergo more aggressive treatments.

Indexed as

Ablation TechniquesChemoembolization, TherapeuticHepatectomyAgedalpha-FetoproteinsAntineoplastic AgentsAscitesBilirubinCarcinoma, HepatocellularFemaleHumansKaplan-Meier EstimateLiver NeoplasmsLiver TransplantationMaleMiddle Agedalpha-FetoproteinsAntineoplastic AgentsBilirubinSerum AlbuminALBI gradeHepatocellular carcinomaMilan criteria

Identifiers

PMID31659612
OpenAlexW2982140918

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.