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Record W4405556793 · doi:10.47895/amp.vi0.9874

HBV Catch-up Vaccination in Children and Adults with Incomplete or Unknown Vaccination to Reduce Hepatitis B-related Morbidity: A Systematic Review

2024· review· en· W4405556793 on OpenAlexaboutno aff
Germana Emerita V. Gregorio, Sally Jane Velasco-Aro

Bibliographic record

VenueActa Medica Philippina · 2024
Typereview
Languageen
FieldMedicine
TopicHepatitis B Virus Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVaccinationMedicineHepatitis BVirologyHepatitis B virusPediatricsImmunologyEnvironmental healthVirus

Abstract

fetched live from OpenAlex

Background: Hepatitis B virus causes life-threatening chronic liver infection and increases the risk of death from cirrhosis and liver cancer. A three-dose series of universal HBV vaccination initiated from birth is effective against the disease. It is unclear if catch-up vaccination is also effective in those with incomplete or no HBV vaccination. Objective: To review the evidence on the effect of HBV catch-up vaccination on children and adults to decrease HBV-related morbidity. Methods: We searched MEDLINE, Cochrane CENTRAL, ChinaXiv, MedRXIV, BioRXIV, Google Scholar, and ongoing and completed trials on USA: https://clinicaltrials.gov/; China: http://www.chictr.org.cn/searchprojen.aspx, and WHO: https://www.who.int/clinical-trials-registry-platform. The last search date was 30 June 2023. We considered experimental or observational studies, meta-analysis/systematic reviews, completed trials and preprints that investigated the efficacy of catch-up HBV immunization in decreasing morbidity from hepatitis B infection including acute and chronic hepatitis B infection, liver cirrhosis, and hepatocellular carcinoma. There was no age and language restriction. Two reviewers independently rated the quality of included studies using Newcastle - Ottawa Quality Assessment Scale for cohort and cross-sectional studies. GRADE (Grading of Recommendations, Assessment, Development and Evaluations) approach was used to determine the certainty of evidence. Data was presented as number (%) for categorical values. Differences between the unvaccinated and vaccinated group was described as relative risk or odds ratio for categorical variables. Data was pooled using Review Manager 5.4. Results: A total of four observational studies were included, one of which had data in children and adults [two (one with data in adults) studies in children; 3 in adults]. The cross-sectional study was assessed as good quality; and the three cohorts as fair to good. In children, a high certainty evidence study showed that catch up vaccination in 9 to 18 years old decreased risk of HBsAg positivity [RR: 0.09 (0.004, 0.21)], reduced HBV DNA detection [RR: 0.084 (0.026, 0.273)], and increased anti-HBs seroconversion [RR: 2.08 (1.84, 2.33)]. The quality of evidence was deemed high based on a large treatment effect. Another low certainty evidence study in Italy showed that HBV mass immunization in 0-10 years old decreased the prevalence of HBsAg anti-HBc and increased anti-HBs seroconversion after vaccination. In adults, three low certainty evidence studies were included. Two studies showed decreased incidence of acute hepatitis B [OR: 0.08 (0.05, 0.12), I2 = 33%]. Another study demonstrated a decreased prevalence of hepatocellular carcinoma with HBV vaccination with the incidence ratio of vaccinated with chronically infected at 0.04 (0.02, 0.07) showing a large magnitude of benefit for vaccination against HCC when chronic HBV infection is prevented. The studies were deemed to have low quality due to issue of directness and study design. Conclusion: HBV catch-up vaccination in adults is effective in decreasing the prevalence of acute hepatitis B and hepatocellular carcinoma. It likewise decreased the prevalence of HBsAg and anti-HBc, and provided anti-HBs protection in 0 to 18 years.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.211
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.333
Teacher spread0.303 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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