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Record W1132828096 · doi:10.1155/2015/563893

The Effectiveness of Ultrasound Surveillance for Hepatocellular Carcinoma in a Canadian Centre and Determinants of Its Success

2015· article· en· W1132828096 on OpenAlexaffabout
Korosh Khalili, Ravi Menezes, Tae Kyoung Kim, Leyla Kochak Yazdi, Hyun‐Jung Jang, Suraj Sharma, Jordan J. Feld, Morris Sherman

Bibliographic record

VenueCanadian Journal of Gastroenterology and Hepatology · 2015
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineHepatocellular carcinomaLiver cancerLiver transplantationMilan criteriaPopulationInternal medicineRetrospective cohort studyTransplantationSurgeryEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: The effectiveness of surveillance for hepatocellular carcinoma (HCC) using ultrasound (US) in North America has been questioned due to the predominance of patients of Caucasian ethnicity and larger body habitus. OBJECTIVE: To determine the effectiveness of US surveillance for HCC in a Canadian hepatobiliary centre and to identify independent variables associated with early detection of tumour(s). METHODS: A retrospective review of patients with first HCC in a US surveillance population at the authors' hospital yielded 201 patients (over a 10.5-year period). Patients were categorized into three groups: regular surveillance (frequency of surveillance ≤12 months [n=109]); irregular surveillance (frequency of surveillance >12 months [n=38]); or first surveillance (tumour detected on first scan [n=54]). The Milan criteria for transplantation and Barcelona Clinic Liver Cancer (BCLC) staging system were used as outcome measures. Effective surveillance was defined as tumour detection within Milan criteria or curative BCLC stages 0 and A; its association with multiple patient- and disease-related variables was tested. RESULTS: When using the Milan criteria as outcome, 84 of 109 (77%) regular surveillance patients, 23 of 38 (61%) irregular surveillance patients and 40 of 54 (74%) first surveillance patients had tumours meeting the transplantation criteria. The difference between regular and irregular surveillance was statistically significant (P=0.03). When using the BCLC staging system, 87 of 109 (80%) regular surveillance patients, 26 of 38 (68%) irregular surveillance patients and 41 of 54 (76%) first surveillance patients had their tumours detected in BCLC curative stages (0 and A; P=0.11). Regular surveillance was the only variable significantly associated with detection of tumour(s) within the Milan criteria (OR 2.76 [95% CI 1.10 to 6.88]). Tumours detected more recently were more likely to be <2 cm in size (BCLC stage 0; OR 2.38 [95% CI 1.07 to 5.31]). CONCLUSION: A high rate of HCC surveillance success was achieved using US alone when performed regularly in a specialized hepatobiliary centre.

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)0.002
metaresearch head score (Gemma)0.012
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 score0.113
Threshold uncertainty score0.227

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.028
GPT teacher head0.244
Teacher spread0.216 · 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".

Quick stats

Citations22
Published2015
Admission routes2
Has abstractyes

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