ArticleSaudi medical journal2026
Mapping Health Research Involving Human Subjects in Saudi Arabia:
Article in Saudi medical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: To identify dominant and underrepresented research topics and to classify published studies by design and data sources in health research involving human subjects from Saudi Arabia. Methods: This retrospective study analyzed PubMed-indexed health articles related to Saudi Arabia from 1959 to March 2025. Text mining was used to identify studies conducted in the country involving human subjects. Eligible articles were classified by study design and data sources. Topic modeling using non-negative matrix factorization was applied to identify topics based on the primary research focus. Results: A total of 36,452 records of studies conducted in Saudi Arabia were initially identified. Of these, approximately 89.8% were original research, 5.1% were case reports or case series, and 5.1% were reviews. Screening of original research articles yielded 18,239 studies involving human subjects, with cross-sectional designs being the most common (57.7%) and clinical trials the least represented (1.4%). Regarding data sources, around 63.4% of studies involving human subjects used surveys, while 9.7% relied on health records. Topic modeling revealed that inpatient care and clinical outcomes constituted the most prominent topic (19.5%), whereas asthma and allergic conditions formed the least represented topic (1.3%). Conclusion: Despite increasing research output in Saudi Arabia, clinical trials remain limited. Promoting interventional research through enhanced infrastructure, collaboration, and training is essential. Topic modeling offers valuable insights to guide research priorities and align national efforts with population health needs.
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What OpenQuestion holds
Registered trials
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.