Evidence map›Paper›PMID 31615542›Full record

Observational studyBMC public health2019

Is physician assessment of alcohol consumption useful in predicting risk of severe liver disease among people with HIV and HIV/HCV co-infection?

Milensu Shanyinde, Enrico Girardi, Massimo Puoti, Andrea De Luca, Laura Sighinolfi, Uberti Foppa Caterina, Pietro Caramello, Fiona C Lampe, Antonella D'Arminio Monforte, Alessandro Cozzi-Lepri and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

11 authors at 8 institutions in 2 countries.

Milensu ShanyindeInstitute of Global Health, University College London, Royal Free Hospital, London, UK. milensu.shanyinde.14@ucl.ac.uk.ORCID http://orcid.org/0000-0003-4842-9247
Enrico GirardiLazzaro Spallanzani National Institute for Infectious Diseases, Rome, Italy.
Massimo PuotiNiguarda ca Grande Hospital, Milan, Italy.
Andrea De LucaUniversity Hospital of Siena, Siena, Italy.
Laura SighinolfiDivision of Infectious Diseases, Hospital of Ferrara, Ferrara, Italy.
Uberti Foppa CaterinaInfectious disease university San Raffaele, San Raffaele, Italy.
Pietro CaramelloInfectious and Tropical Diseases Unit I, Department of Infectious Diseases, Amedeo di Savoia Hospital, Torino, Italy.
Fiona C LampeInstitute of Global Health, University College London, Royal Free Hospital, London, UK.
Antonella D'Arminio MonforteClinic of Infectious Diseases, San Paulo Hospital, Milan, Italy.
Alessandro Cozzi-LepriInstitute of Global Health, University College London, Royal Free Hospital, London, UK.
ICONA Foundation Study Group
The Royal Free Hospital · GBAzienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda · ITIstituto Nazionale per le Malattie Infettive Lazzaro Spallanzani · ITOspedale Amedeo di Savoia · ITOspedale San Paolo · ITSan Raffaele University of Rome · ITUniversity of Ferrara · ITUniversity of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlcohol consumption is a known risk factor for liver disease in HIV-infected populations. Therefore, knowledge of alcohol consumption behaviour and risk of disease progression associated with hazardous drinking are important in the overall management of HIV disease. We aimed at assessing the usefulness of routine data collected on alcohol consumption in predicting risk of severe liver disease (SLD) among people living with HIV (PLWHIV) with or without hepatitis C infection seen for routine clinical care in Italy.

methodsWe included PLWHIV from two observational cohorts in Italy (ICONA and HepaICONA). Alcohol consumption was assessed by physician interview and categorized according to the National Institute for Food and Nutrition Italian guidelines into four categories: abstainer; moderate; hazardous and unknown. SLD was defined as presence of FIB4 > 3.25 or a clinical diagnosis of liver disease or liver-related death. Cox regression analysis was used to evaluate the association between level of alcohol consumption at baseline and risk of SLD.

resultsAmong 9542 included PLWHIV the distribution of alcohol consumption categories was: abstainers 3422 (36%), moderate drinkers 2279 (23%), hazardous drinkers 637 (7%) and unknown 3204 (34%). Compared to moderate drinkers, hazardous drinking was associated with higher risk of SLD (adjusted hazard ratio, aHR = 1.45; 95% CI: 1.03-2.03). After additionally controlling for mode of HIV transmission, HCV infection and smoking, the association was attenuated (aHR = 1.32; 95% CI: 0.94-1.85). There was no evidence that the association was stronger when restricting to the HIV/HCV co-infected population.

conclusionsUsing a brief physician interview, we found evidence for an association between hazardous alcohol consumption and subsequent risk of SLD among PLWHIV, but this was not independent of HIV mode of transmission, HCV-infection and smoking. More efforts should be made to improve quality and validity of data on alcohol consumption in cohorts of HIV/HCV-infected individuals.

Indexed as

CoinfectionAdultAlcohol DrinkingCohort StudiesFemaleHepatitis CHIV InfectionsHumansItalyLiver DiseasesMaleMiddle AgedRisk FactorsSeverity of Illness IndexAlcohol consumptionHIV/HCV co-infectionHIV-infectedSevere liver disease

Identifiers

PMID31615542
PMCPMC6794785
OpenAlexW2981116792

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.