Evidence map›Paper›PMID 18955327›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2010

Who Uses CAM? A Narrative Review of Demographic Characteristics and Health Factors Associated with CAM Use.

Felicity L Bishop, G T Lewith

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
159citing papers in PubMed, 4 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

159 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  8. Stakeholder priorities for advancing integrative oncology across a pluralistic health system: a qualitative study from Singapore.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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99 more citing papers are in PubMed but not listed here.

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

2 authors.

Felicity L BishopComplementary Medicine Research Unit, School of Medicine, University of Southampton, Hampshire, UK.
G T Lewith

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complementary and Alternative Medicines (CAM) are used by an extensive number of patients in the UK and elsewhere. In order to understand this pattern of behavior, it is helpful to examine the characteristics of people who use CAM. This narrative review collates and evaluates the evidence concerning the demographic characteristics and health status factors associated with CAM use in community-based non-clinical populations. A systematic literature search of computerized databases was conducted, and published research papers which present evidence concerning associations between CAM use and demographic and health characteristics are discussed and evaluated. The evidence suggests that people who use CAM tend to be female, of middle age and have more education. In terms of their health, CAM users tend to have more than one medical condition, but might not be more likely than non-users to have specific conditions such as cancer or to rate their own general health as poor. The multivariate studies that have been conducted suggest that both demographic and health characteristics contribute independently to CAM use. In conclusion, demographic characteristics and factors related to an individual's health status are associated with CAM use. Future research is needed to address methodological limitations in existing studies.

Indexed as

CAM usepatient characteristicsreview

Identifiers

PMID18955327
PMCPMC2816378

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.