Evidence map›Paper›PMID 36017044›Full record

ArticleInternational journal of ophthalmology2022

Risk of anxiety and depression in patients with uveitis: a Meta-analysis.

Bei Cui, Hong-Zhen Jia, Li-Xiong Gao, Xiao-Fei Dong

Open access · goldAbstract read
In one paragraph

Article in International journal of ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Treatment of uveitis and scleritis patients in Malaysia.International journal of ophthalmology · 2024
    Article
  3. Article
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

4 authors at 2 institutions in 1 country.

Bei CuiSenior Department of Ophthalmology, the Third Medical Centre of Chinese People's Liberation Army General Hospital, Beijing 100039, China.
Hong-Zhen JiaSenior Department of Ophthalmology, the Third Medical Centre of Chinese People's Liberation Army General Hospital, Beijing 100039, China.
Li-Xiong GaoSenior Department of Ophthalmology, the Third Medical Centre of Chinese People's Liberation Army General Hospital, Beijing 100039, China.
Xiao-Fei DongDepartment of Ophthalmology, No.967 Hospital of the Joint Logistics Support Force of the Chinese PLA, Dalian 116000, Liaoning Province, China.
Chinese People's Liberation Army · CNPeople's Liberation Army 401 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo quantitatively evaluate the risk of anxiety and depression in patients with uveitis

methodsThree electronic database (PubMed, Embase, and Cochrane Library databases) were searched for studies recording data about uveitis and anxiety as well as depression simultaneously up to January 2021. The incidence rate and standard mean difference (SMD) with a 95% confidence interval (95%CI) were calculated to analyse the association using random-effects models based on heterogeneity tests.

resultsIn total, 12 observational studies containing 874 patients with uveitis were included. The results showed that there was a significant association between uveitis and anxiety (SMD=0.97, 95%CI: 0.39 to 1.54,

conclusionIt is preliminarily indicated that patients with uveitis may have a high risk of anxiety and depression. Ophthalmologists and psychologists should pay more attention to the psychological state when dealing with patients with uveitis. Further high-quality studies with detailed direct data are needed to draw more precise conclusions.

Indexed as

anxietydepressionMeta-analysisuveitis

Identifiers

PMID36017044
PMCPMC9358172
OpenAlexW4288488822

What OpenQuestion holds

Textmetadata
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.