Evidence map›Paper›PMID 33821150›Full record

ArticleGastroHep2021

Assessing efficacy of hepatocellular carcinoma prediction scores to prioritise hepatitis B surveillance in the COVID-19 era.

Ricky Sinharay, Andrew J Grant, Lucy Rivett, Rebecca Blackwell, George Mells, William Gelson

Open access · greenAbstract read
In one paragraph

Article in GastroHep, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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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

6 authors at 2 institutions in 1 country.

Ricky SinharayDepartment of Pathology University of Cambridge Cambridge UK.ORCID https://orcid.org/0000-0002-1587-9412
Andrew J GrantMRC Biostatistics Unit University of Cambridge Cambridge UK.
Lucy RivettDepartment of Infectious Diseases Cambridge University NHS Hospitals Foundation Trust Cambridge UK.
Rebecca BlackwellCambridge Liver Unit Cambridge University Hospitals NHS Foundation Trust Cambridge UK.
George MellsCambridge Liver Unit Cambridge University Hospitals NHS Foundation Trust Cambridge UK.
William GelsonCambridge Liver Unit Cambridge University Hospitals NHS Foundation Trust Cambridge UK.
Cambridge University Hospitals NHS Foundation Trust · GBUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAn estimated 250 million people worldwide are chronically infected with hepatitis B virus (HBV), the leading cause of hepatocellular carcinoma (HCC) globally. The novel

methodsWe analysed how five HCC risk prediction scores could aid stratification of patients with chronic HBV. We calculated scores using parameters measured from 3 years prior (where available, n = 17) and at the time of HCC diagnosis in all adult patients with chronic HBV diagnosed with HCC (n = 46), and controls (n = 100). We compared the number of patients requiring cancer surveillance according to each score and regional surveillance guidance.

resultsThe aMAP score had the highest discriminatory performance in HCC risk prediction at 3 years (area under receiver-operating characteristic curve (auROC) of 0.824), followed by the mREACH B score (auROC of 0.719), and mPAGE B score (auROC of 0.742). However, only the mREACH B score had a negative predictive value (NPV) >99%. Applying the mREACH B score to our HBV cohort identified 11 patients requiring HCC surveillance, compared with 62 under current guidelines.

conclusionThe use of HCC risk prediction scores could streamline the surveillance of patients with chronic HBV at a time of extremely limited resources. Overall, the mREACH B score had both a strong discriminatory performance and a high NPV, thus safely identifying low risk patients not requiring surveillance.

Indexed as

cancer risk scorescancer surveillanceCOVID‐19hepatitis B

Identifiers

PMID33821150
PMCPMC8014760
OpenAlexW3128105148

What OpenQuestion holds

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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.