Evidence map›Paper›PMID 30569507›Full record

ArticleAlimentary pharmacology & therapeutics2019

LCR1 and LCR2, two multi-analyte blood tests to assess liver cancer risk in patients without or with cirrhosis.

Thierry Poynard, Valentina Peta, Olivier Deckmyn, Mona Munteanu, Joseph Moussalli, Yen Ngo, Marika Rudler, Pascal Lebray, Raluca Pais, Luminita Bonyhay and 16 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Alimentary pharmacology & therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01927133 (LIVER FIBROSIS PREVALENCE IN FRANCE), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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.

NCT01927133 unknown statusnot on this map

Liver fibrosis prevalence in france

TypeobservationalSponsorAssistance Publique - Hôpitaux de ParisRan1997 to 2020Enrolled10,000ConditionsLiver Fibrosis Progression in Chronic Liver Disease
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  7. Review
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  10. Patterns of Comorbidity in Hepatocellular Carcinoma: A Network Perspective.International journal of environmental research and public health · 2020
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 3 institutions in 1 country.

Thierry PoynardHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.ORCID 0000-0002-3726-7230
Valentina PetaSorbonne Université, INSERM, Saint-Antoine Research Center & Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.
Olivier DeckmynBioPredictive, Paris, France.
Mona MunteanuSorbonne Université, INSERM, Saint-Antoine Research Center & Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.
Joseph MoussalliHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.
Yen NgoBioPredictive, Paris, France.
Marika RudlerHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.ORCID 0000-0001-9155-3345
Pascal LebrayHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.
Raluca PaisHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.ORCID 0000-0001-8070-0733
Luminita BonyhayHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.
Frederic CharlotteHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.
Vincent ThibaultHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.
Laetitia FartouxHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.
Olivier LucidarmeHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.
Daniel EyraudHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.
Olivier ScattonHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.
Eric SavierHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.
Marc Antoine ValantinHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.
An NgoBioPredictive, Paris, France.
Fabienne DraneBioPredictive, Paris, France.
Olivier RosmorducHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.
Françoise Imbert-BismutHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.
Chantal HoussetSorbonne Université, INSERM, Saint-Antoine Research Center & Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.
Dominique ThabutHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.
Vlad RatziuHepatology Department, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.
HECAM-FibroFrance Group
Sorbonne Université · FRInserm · FRBiopredic (France) · FR

Funding

BioPredictive, HECAM C1410019W
6 · The paper itself

Abstract

backgroundNo blood test has been shown to be effective in the prediction of primary liver cancer in patients without cirrhosis.

aimTo construct and internally validate two sequential tests for early prediction of liver cancer. These tests enable an algorithm which could improve the performance of the standard surveillance protocol recommended (imaging with or without AFP), limited to patients with cirrhosis.

methodsWe performed a retrospective analysis in prospectively collected specimens from an ongoing cohort. We designed an early sensitive high-risk test (LCR1) that combined (using Cox model) hepatoprotective proteins (apolipoproteinA1, haptoglobin) with known risk factors (gender, age, gammaglutamyltranspeptidase), and a marker of fibrosis (alpha2-macroglobulin). To increase the specificity, we then combined (LCR2) these components with alpha-fetoprotein.

resultsA total of 9892 patients, 85.9% without cirrhosis, were followed up for 5.9 years [IQR: 4.3-9.4]. LCR1 and LCR2 time-dependent AUROCs were not different in construction and validation randomised subsets. Among 2027 patients with high-LCR1 then high-LCR2, 167 cancers (113 with cirrhosis, 54 without cirrhosis) were detected, that is 12 patients needed to screen one cancer. The negative predictive value was 99.5% (95% CI 99.0-99.7) in the 2026 not screened patients (11 cancers without cirrhosis) higher than the standard surveillance, which detected 113 cancers in 755 patients screened, that is seven patients needed to screen one cancer, but with a lower negative predictive value 98.0% (97.5-98.5; Z = 4.3; P < 0.001) in 3298 not screened patients (42 cancers without cirrhosis).

conclusionsIn patients with chronic liver disease the LCR1 and LCR2 tests identify those with a high risk of liver cancer, including in those without cirrhosis. NCT01927133.

Indexed as

Algorithmsalpha-FetoproteinsBiomarkersCarcinoma, HepatocellularCohort StudiesFemaleHematologic TestsHumansLiver CirrhosisLiver NeoplasmsMaleMiddle AgedRetrospective StudiesRisk FactorsSensitivity and SpecificityAFP protein, humanalpha-FetoproteinsBiomarkers

Identifiers

PMID30569507
PMCPMC6590635
OpenAlexW2906418645

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Textmetadata
LicenceCC BY-NC
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Registered trials

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.