Evidence map›Paper›PMID 35352013›Full record

ArticleEye (London, England)2023

The association of uveitis with hepatitis B and hepatitis C viruses: a large-scale population-based study.

Mouhammad Kridin, Ofira Zloto, Khalaf Kridin, Arnon D Cohen, Oran Mann, Orly Weinstein

Abstract read
In one paragraph

Article in Eye (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

6 authors.

Mouhammad Kridin *Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
Ofira Zloto *Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel. ozloto@gmail.com.
Khalaf KridinLübeck Institute of Experimental Dermatology, University of Lübeck, Lübeck, Germany.
Arnon D CohenClalit Health Services, Tel-Aviv, Israel.
Oran MannClalit Health Services, Tel-Aviv, Israel.
Orly WeinsteinClalit Health Services, Tel-Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo examine the association of uveitis with hepatitis B (HBV) and hepatitis C (HCV) chronic infections

methodThis is a population-based cross-sectional study. The study encompassed 13,183 consecutive patients with uveitis and 65,331control subjects. The prevalence of chronic HBV and HCV infections was compared between patients diagnosed with uveitis and age-, sex-, and ethnicity-matched controls. Lifetime prevalence rates of HBV and HCV were calculated for patients with uveitis and control individuals. Odds ratio (OR) for HBV and HCV was evaluated across different strata.

resultsThe lifetime prevalence rate of chronic HBV infection was greater in patients with uveitis than in controls (1.2% vs. 0.8%, respectively; P < 0.001). The association of HBV with uveitis was statistically significant among individuals older than 40 years of age, both sexes, and individuals of Jewish ethnicity. The lifetime prevalence of HCV was comparable between patients with uveitis and controls (0.8% vs. 0.7%, respectively; P = 0.189). Thus, no independently significant association was found between uveitis and HCV (fully-adjusted OR, 1.15; 95% CI, 0.93-1.42; P = 0.211).

conclusionsUveitis is associated with HBV. The association was more prominent among older and Jewish patients. Patients with uveitis may benefit from screening for HBV. An association between uveitis and HCV has not been found.

Indexed as

Hepatitis BHepatitis CUveitisCross-Sectional StudiesFemaleHepacivirusHumansMalePrevalence

Identifiers

PMID35352013
PMCPMC9998628

What OpenQuestion holds

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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.