Evidence map›Paper›PMID 40256149›Full record

ReviewHealth science reports2025

A Comprehensive Look at Complementary and Alternative Medicine (CAM) in Saudi Arabia: A Meta-Analysis Study.

Saud M Alsanad

Abstract readReview
In one paragraph

Review in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Observational
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.

Saud M AlsanadDepartment of Pharmacology, College of Medicine Imam Mohammad Ibn Saud Islamic University (IMSIU) Riyadh Saudi Arabia.ORCID 0000-0003-2250-0914

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Complementary and Alternative Medicine (CAM) refers to a diverse array of healthcare practices that lie outside conventional Western medicine, including herbal remedies, spiritual healing, and traditional therapies. CAM use has become increasingly prevalent worldwide, driven by cultural, religious, and socioeconomic factors, including in Saudi Arabia. This systematic review and meta-analysis aimed to estimate the prevalence of CAM use in Saudi Arabia and examine the patterns of its utilization across various populations. Methods: A systematic literature review was conducted using the PRISMA framework to identify studies investigating the prevalence and patterns of CAM use among diverse populations in Saudi Arabia. Databases searched included Cochrane, Clinicaltrials.gov, CINAHL, Web of Science, and PubMed. Results: Seven cross-sectional studies, with a total of 4112 participants were included. The studies encompassed a wide range of populations, from adolescents to adults with chronic illnesses. The pooled prevalence of CAM use was calculated to be 0.515 (95% CI [0.373-0.657]) using a random-effects model, showing that 51.5% of the Saudi population engages in CAM practices. Significant heterogeneity was observed across the included studies, likely due to differences in population demographics, CAM definitions, and study methodologies. Conclusion: The findings emphasize the cultural and religious impact on CAM use and its significance in healthcare delivery. Future research should focus on standardizing CAM definitions, exploring the efficacy of popular therapies, and integrating CAM into conventional healthcare to provide holistic and culturally sensitive care. Review Registration ID: PROSPERO CRD42024608257.

Indexed as

complementary and alternative medicinehealthcaremeta‐analysisprevalenceSaudi Arabia

Identifiers

PMID40256149
PMCPMC12006920

What OpenQuestion holds

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Registered trials

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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.