Evidence map›Paper›PMID 38882987›Full record

ArticleCureus2024

Knowledge and Attitudes Regarding Cataracts and Their Associated Factors Among Hail Region Residents in Saudi Arabia.

Reema S Alanazi, Areeb F Alshammari, Fatima H Albladi, Atheer Alanizy, Abrar Ali, Nabeel Shalabi

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Reema S AlanaziCollege of Medicine, Hail University, Hail, SAU.
Areeb F AlshammariCollege of Medicine, Hail University, Hail, SAU.
Fatima H AlbladiCollege of Medicine, Hail University, Hail, SAU.
Atheer AlanizyCollege of Medicine, Hail University, Hail, SAU.
Abrar AliOphthalmology, Hail University, Hail, SAU.
Nabeel ShalabiOphthalmology, Hail University, Hail, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Cataract is a condition that affects the lens, causing separation and/or aggregation of proteins and disrupting the regular alignment of cell fibers. Cataracts have many known risk factors contributing to their development, such as diabetes, oral steroid therapy, smoking, and high body mass index. Good knowledge about cataracts may improve the quality of treatment through early diagnosis. Unfortunately, poor knowledge is still a significant barrier to reducing blindness caused by cataracts in developing countries. Methodology This cross-sectional study was conducted using a pre-validated questionnaire and online questionnaires. Participants were approached through multiple social media platforms from June 2022 to August 2022. Results Of the 307 participants, with a mean age of 32.4 ± 12.8 years, 51.5% had good knowledge of cataracts and their related risk factors, while 28.7% had a favorable attitude about cataracts. Of all participants, 50.5% reported a diagnosis of cataract. The majority of participants, 58.6%, who did not have cataracts, had good knowledge versus 44.5% of others with (p = 0.014). Moreover, 75% of participants aged 50 years or older had good overall cataract knowledge levels compared to 38.9% of others aged 30-39 years (p = 0.002). Conclusions Cataracts are a preventable cause of blindness that can be corrected by surgery. In this study, we discovered extremely concerning rates of knowledge, awareness, and attitudes regarding cataracts among the populations of Hail City. More educational programs should be directed toward spreading knowledge about cataracts to patients and the public.

Indexed as

attitudescataracthailknowledgesaudi arabia

Identifiers

PMID38882987
PMCPMC11179688

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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.