Evidence map›Paper›PMID 31480588›Full record

ArticleViruses2019

Increased Coffee Intake Reduces Circulating HBV DNA and HBsAg Levels in HBeAg-Negative Infection: A Cohort Study.

Jack Bee Chook, Yun Fong Ngeow, Kok Keng Tee, Jamie Wan Ting Lee, Rosmawati Mohamed

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 4 institutions in 1 country.

Jack Bee ChookDepartment of Medical Sciences (DMS), School of Healthcare and Medical Sciences (SHMS), Sunway University, Bandar Sunway, Selangor Darul Ehsan 47500, Malaysia. jackbeec@sunway.edu.my.
Yun Fong NgeowDepartment of Pre-Clinical Sciences, Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Bandar Sungai Long, Selangor 43000, Malaysia.
Kok Keng TeeDepartment of Medical Microbiology, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia.
Jamie Wan Ting LeeDepartment of Medical Microbiology, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia.
Rosmawati MohamedDepartment of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia.
University of Malaya · MYSunway University · MYUniversiti Tunku Abdul Rahman · MYUniversity Malaya Medical Centre · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coffee is hepatoprotective and potentially antiviral; however, its anti-hepatitis B virus (anti-HBV) property is not known in humans. This study investigated the influence of coffee drinking behaviour as well as clinical and biochemical profiles of hepatitis B e antigen (HBeAg) negative participants on circulating HBV DNA and hepatitis B surface antigen (HBsAg) levels at a 24-week interval. Exactly 114 chronically HBV-infected adult participants were enrolled from the University of Malaya Medical Centre (UMMC), Malaysia. A significant reduction of HBV DNA level was observed in those drinking three or more cups of coffee per day, with a median reduction of 523 IU/mL (

Indexed as

CoffeeDrinking BehaviorAgedAlanine TransaminaseCohort StudiesDNA, ViralFemaleHepatitis B, ChronicHepatitis B Surface AntigensHepatitis B virusHumansMalaysiaMaleMiddle AgedViral LoadAlanine TransaminaseCoffeeDNA, ViralHepatitis B Surface Antigensantiviralcoffeehepatitis B virussurface antigenviral load

Identifiers

PMID31480588
PMCPMC6783832
OpenAlexW2971039238

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.