Evidence map›Paper›PMID 38694278›Full record

ArticleAnnals of medicine and surgery (2012)2024

Computer vision syndrome among Sudanese medical students: a growing medical issue in the digital world.

Mumen Abdalazim Dafallah, Omer Ali Mohamed Ahmed, Malaz Mustafa Ibrahim Mohamed, Rawan Abdalrahman Zakaria Abubakar, Ahmed Alsiddig Ebraheem, Gamal M A Ahmed

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of medicine and surgery (2012), 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
0.6field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  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 at 3 institutions in 2 countries.

Mumen Abdalazim DafallahDepartment of Internal Medicine, Sudan Medical Specialization Board.
Omer Ali Mohamed AhmedDepartment of Internal Medicine, Sudan Medical Specialization Board.
Malaz Mustafa Ibrahim MohamedFaculty of Medicine.
Rawan Abdalrahman Zakaria AbubakarFaculty of Medicine.
Ahmed Alsiddig EbraheemDepartments ofInternal Medicine.
Gamal M A AhmedSurgery, Faculty of Medicine, University of Gezira, Wad Medani, Gezira State, Sudan.
Faculty (United Kingdom) · GBSudan Medical Specialization Board · SDUniversity of Gezira · SD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computer vision syndrome (CVS) refers to a set of eye-related symptoms that arise from prolonged computer usage. A survey was conducted to investigate the demographic characteristics, factors contributing to, and preventive measures against CVS. Out of 159 participants, 31.0% experienced seven or more symptoms, indicating a notable prevalence. The study found no significant correlation between age or academic years and CVS occurrence (

Indexed as

computer vision syndromeCVSmedical educationmedical studentsSudan

Identifiers

PMID38694278
PMCPMC11060282
OpenAlexW4392472850

What OpenQuestion holds

Textmetadata
LicenceCC BY-SA
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.