Evidence map›Paper›PMID 29026129›Full record

ArticleScientific reports2017

Hepatitis virus infection and age-related cataract.

Sangshin Park, Nam-Kyong Choi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

8 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

2 authors at 2 institutions in 2 countries.

Sangshin ParkCenter for International Health Research, Rhode Island Hospital, The Warren Alpert Medical School of Brown University, Providence, RI, 02903, USA.ORCID 0000-0003-2407-0962
Nam-Kyong ChoiDepartment of Health Convergence, Ewha Womans University, Seoul, Republic of Korea. nchoi@ewha.ac.kr.ORCID 0000-0003-1153-9928
Brown University · USEwha Womans University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was performed to investigate the relationships of hepatitis B (HBV) and hepatitis C virus (HCV) infection to age-related cataract, and to assess whether liver damage mediates the hepatitis-cataract association. This study analyzed data in the Korea National Health and Nutrition Examination Survey 2010-2012 on 10,037 participants aged ≥40 years. We performed mediation analysis to address the contribution of serum markers of liver damage, high aspartate (AST, >49.9 IU/L) and alanine aminotransferase (ALT, >56.1 IU/L), to the relationships of HBV and HCV infection to cataract. Odds ratios (ORs) for nuclear and any cataract with HBV infection were 1.09 [95% confidence interval (95CI) = 1.02-1.16] and 1.07 (95CI = 1.00-1.14), respectively, compared to HBV uninfection; ORs with HCV infection were 1.35 (95CI = 1.18-1.55) and 1.40 (95CI = 1.12-1.76), respectively. High AST completely mediated the HBV infection-any cataract association. The significant relationships of HCV infection with nuclear and any cataract were formed only by their direct effects, not by mediation effects of high AST or ALT. HBV and HCV infection was significantly associated with nuclear and any cataract. High AST significantly mediates the effects of HBV infections on any cataract outcome, but the associations of HCV infection with nuclear and any cataract were not mediated by high AST or ALT.

Indexed as

AgedAlanine TransaminaseAspartate AminotransferasesCataractConfidence IntervalsFemaleHepatitis BHumansMaleMiddle AgedOdds RatioAlanine TransaminaseAspartate Aminotransferases

Identifiers

PMID29026129
PMCPMC5638795
OpenAlexW2764003280

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.