Evidence map›Paper›PMID 34012267›Full record

ReviewJournal of multidisciplinary healthcare2021

Application of the EQ-5D in the Middle East: A Systematic Review Focusing on Patients Living in the Kingdom of Saudi Arabia.

Abdullah Althemery

Open access · goldAbstract readReview
In one paragraph

Review in Journal of multidisciplinary healthcare, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  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

1 author at 1 institution in 1 country.

Abdullah AlthemeryClinical Pharmacy Department, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj, Al Riyadh Province, Saudi Arabia.ORCID 0000-0002-3415-7685
Prince Sattam Bin Abdulaziz University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients' quality of life (QoL) and reported outcomes are critical indicators of the burden of a disease and the benefits of healthcare intervention. This systematic review explores publications that have adapted the EQ-5D for use with a population living in Saudi Arabia. The review of the following databases: MEDLINE, EMBASE, Wiley's Database, EBSCO, and ClinicalTrials.gov was conducted on December 1, 2020. The search strategy was adapted from the SPIDER search tool, and the included articles were classified by author, year of publication, region, disease of interest, sample size, type of EQ-5D, and format. Level of EQ-5D was classified as either 3L or 5L. Thirteen articles met the search inclusion criteria. The earliest publication was conducted in 2015 and the latest in 2020. These studies were conducted in four Saudi administrative regions, and multiple conditions or treatments were studied, the most studied condition being diabetes mellitus, followed by musculoskeletal disorders, back pain, and injuries. This systematic review article finds that the EQ-5D has been well adapted in the KSA. However, continued work is needed to investigate the quality of life for major conditions such as cardiovascular disease and cancer. Moreover, QoL research is lacking in certain regions, such as southern and northern Saudi Arabia. Despite the successful application and validation of the EQ-5D, a local QoL tool is needed to capture the unique context of patients within the healthcare system in the Middle East.

Indexed as

EQ-5D in the Middle Easthealth utilitiesQoL in the KSA

Identifiers

PMID34012267
PMCPMC8126869
OpenAlexW3163188235

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.