Evidence map›Paper›PMID 27601240›Full record

SynthesisApplied health economics and health policy2017

Virtual Touch™ Quantification to Diagnose and Monitor Liver Fibrosis in Hepatitis B and Hepatitis C: A NICE Medical Technology Guidance.

Jennifer A Summers, Muralikrishnan Radhakrishnan, Elizabeth Morris, Anastasia Chalkidou, Tiago Rua, Anita Patel, Viktoria McMillan, Abdel Douiri, Yanzhong Wang, Salma Ayis and 4 more

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Applied health economics and health policy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

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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

14 authors at 6 institutions in 1 country.

Jennifer A SummersKing's Technology Evaluation Centre, London, UK. jennifer.a.summers@kcl.ac.uk.
Muralikrishnan RadhakrishnanKing's Technology Evaluation Centre, London, UK.
Elizabeth MorrisKing's Technology Evaluation Centre, London, UK.
Anastasia ChalkidouKing's Technology Evaluation Centre, London, UK.
Tiago RuaDivision of Imaging Sciences and Biomedical Engineering King's College London, Department of Biomedical Engineering, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.
Anita PatelCentre for Primary Care and Public Health, Queen Mary University of London, Yvonne Carter Building, 58 Turner Street, London, E1 2AB, UK.
Viktoria McMillanKing's Technology Evaluation Centre, London, UK.
Abdel DouiriDivision of Health and Social Care Research, King's College London, 4th Floor Addison House, Guy's Campus, London, SE1 1UL, UK.
Yanzhong WangDivision of Health and Social Care Research, King's College London, 4th Floor Addison House, Guy's Campus, London, SE1 1UL, UK.
Salma AyisDivision of Health and Social Care Research, King's College London, 4th Floor Addison House, Guy's Campus, London, SE1 1UL, UK.
Joanne HigginsMedical Technology Evaluation Programme, National Institute for Health and Care Excellence, Level 1A, City Tower, Piccadilly Plaza, Manchester, M1 4BT, UK.
Stephen KeevilKing's Technology Evaluation Centre, London, UK.
Cornelius LewisKing's Technology Evaluation Centre, London, UK.
Janet PeacockKing's Technology Evaluation Centre, London, UK.
King's College Hospital · GBKing's College London · GBSt Thomas' Hospital · GBGuy's and St Thomas' NHS Foundation Trust · GBNational Institute for Health and Care Excellence · GBQueen Mary University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual Touch™ Quantification (VTq) is a software application used with Siemens Acuson ultrasound scanners to assess the stiffness of liver tissue. The National Institute for Health and Care Excellence (NICE) Medical Technologies Advisory Committee (MTAC) selected VTq for evaluation and invited the company to submit clinical and economic evidence. King's Technology Evaluation Centre, an External Assessment Centre (EAC) commissioned by NICE, independently assessed the evidence submitted. The EAC conducted its own systematic review, meta-analysis and economic analysis to supplement the company's submitted evidence. The meta-analyses comparing VTq and transient elastography (TE) with liver biopsy (LB) provided pooled estimates of liver stiffness and stage of fibrosis for the study populations (hepatitis B, hepatitis C or combined populations). When comparing significant fibrosis (Metavir score F ≥ 2) for both hepatitis B and C, VTq had slightly higher values for both sensitivity and specificity (77 and 81 %) than TE (76 and 71 %). The overall prevalence of cirrhosis (F4, combined populations) was similar with VTq and TE (23 vs. 23 %), and significant fibrosis (F ≥ 2) was lower for VTq than for TE (55 vs. 62 %). The EAC revised the company's de novo cost model, which resulted in a cost saving of £53 (against TE) and £434 (against LB). Following public consultation, taking into account submitted comments, NICE Medical Technology Guidance MTG27 was published in September 2015. This recommended the adoption of the VTq software to diagnose and monitor liver fibrosis in patients with hepatitis B or hepatitis C.

Indexed as

Hepatitis BHepatitis CHumansLiverLiver CirrhosisSensitivity and SpecificitySoftwareState MedicineTechnology Assessment, BiomedicalTreatment OutcomeUnited Kingdom

Identifiers

PMID27601240
PMCPMC5343083
OpenAlexW2515754116

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.