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Record W2162983698 · doi:10.1002/14651858.cd002799

Alpha-fetoprotein and/or liver ultrasonography for liver cancer screening in patients with chronic hepatitis B

2003· review· en· W2162983698 on OpenAlexaff
Yuk Tsan Wun, James A. Dickinson

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2003
Typereview
Languageen
Field
Topic
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineInternal medicineHepatitis BHepatocellular carcinomaOdds ratioLiver cancerRandomized controlled trialHBsAgGastroenterologyLiver diseaseClinical trialCancerMeta-analysisAsymptomaticHepatitis B virusImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Chronic hepatitis B infection may cause liver cancer (hepatocellular carcinoma (HCC)). Alpha-fetoprotein (AFP) and liver ultrasonography (US) are used to screen these patients for HCC. It is uncertain whether screening is worthwhile. OBJECTIVES: To review randomized trials on screening for HCC with alpha-fetoprotein and/or liver ultrasonography among people with hepatitis B surface antigen (HBsAg) whether asymptomatic or with clinical liver disease. SEARCH STRATEGY: Relevant reports were searched from electronic databases until August 2002 (The Cochrane Hepato-Biliary Group Controlled Trials Register, The Cochrane Controlled Trials Register, MEDLINE, EMBASE, HealthStar, and the Chinese Medical Literature Electronic Databases, MedCyber) supplemented with manual searches on the bibliographies of papers found and communication to people familiar with chronic hepatitis B. SELECTION CRITERIA: Randomized trials on screening for liver cancer were included irrespective of language. Studies were excluded if the hepatitis B status was uncertain, if patients were not adequately followed, if the screening tests were not sensitive, widely-used ones, or if the test was used for diagnosis rather than screening for HCC. DATA COLLECTION AND ANALYSIS: We analyzed independently all the studies considered for inclusion. We wrote to the relevant authors for further information. Data were analyzed with Peto's odds ratio (OR) with 95% confidence interval (CI). MAIN RESULTS: Two trials met the selection criteria. One trial (n = 18,816) compared bi-annual AFP plus US screening with no screening for five years. No data on all-cause mortality were available. The two groups did not differ significantly regarding HCC mortality (OR 0.81; 95% CI 0.54 to 1.22). Number of patients with HCC was significantly increased in the screeened group (OR 1.37; 95% CI 1.00 to 1.88). Most HCCs in the screened group, but none in the control group, were at an early stage. The survival rate of patients with resected HCC in the screened group reached 52.7% after three and five years, but was 0% for those in the control group. The authors' estimated lead-time for HCC was 5.4 months, suggesting that screening prolonged the survival of HCC. Another trial (n = 1069) compared AFP plus US versus AFP screening, but could not decide which approach was superior due to the small sample size (number of detected HCC: OR 0.74; 95% CI 0.26 to 2.12). REVIEWER'S CONCLUSIONS: There are not enough quality trials to support or refute screening of HBsAg-positive patients for HCC. It is possible that screening may be effective, but also that harm caused by screening/treatment may outweigh any gain. More and better-designed large randomized trials are required.

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)0.009
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.007
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.092
GPT teacher head0.349
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 designSystematic review
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

Citations48
Published2003
Admission routes1
Has abstractyes

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