Evidence map›Paper›PMID 28666435›Full record

ArticleBMC complementary and alternative medicine2017

Prevalence, patterns, and perceived value of complementary and alternative medicine among cancer patients: a cross-sectional, descriptive study.

Mandreker Bahall

Open access · goldAbstract read
In one paragraph

Article in BMC complementary and alternative medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
17.6field-weighted citation impact, top 1% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.

  1. Pooled it
  2. A National Needs Assessment Identifies Training Gap in Integrative Oncology Education.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
    Article
  3. Article
  4. Integrative Oncology Fellowship Training in the United States: Uniting Requirements and Core Competencies.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Oncology researchers' and clinicians' perceptions of complementary, alternative, and integrative medicine: an international, cross-sectional survey.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  9. Article
  10. Article
  11. Predictors of herbal medicine use among cancer patients.Journal of cancer research and clinical oncology · 2023
    Article
  12. Article
  13. Article
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  18. Review
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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.

Mandreker BahallSchool of Medicine and Arthur Lok Jack Graduate School of Business, University of the West Indies, St. Augustine, Trinidad and Tobago. vmandrakes@hotmail.com.ORCID http://orcid.org/0000-0002-2636-0755
University of Trinidad and Tobago · TT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSophisticated conventional medicine (CM) has brought significant advances to cancer prevention, detection, and treatment. However, many cancer patients still turn to complementary and alternative medicine (CAM) treatment. This study explored the prevalence, patterns, and perceived value of CAM among cancer patients.

methodsThis quantitative descriptive study was conducted between March 1, 2015, and July 31, 2015, among a cross-sectional, convenience sample of patients from the Oncology Department of San Fernando General Hospital in Trinidad and Tobago. Face-to-face interviews were conducted at the oncology clinic and treatment suite after obtaining informed consent. Data analysis included descriptive analysis, chi-square tests, and binary logistic regression analysis.

resultsThe prevalence of CAM use among a sample of 350 cancer patients was 39.1% (39.6% for breast cancer, 44.4% for prostate cancer, 37% for ovarian cancer, and 38.7% for colon cancer patients). Herbs were the most common type of CAM used (93.4%), followed by spiritual therapy (73.7%). CAM use was more prevalent among females (68.6%), Indo-Trinidadians (63.5%), and patients aged 41-50 years (37.2%). The majority (70%-80%) rated CAM efficacy on perceived value. CAM was used mainly because of a desire to try anything that might help (67.6%), followed by it being congruent with the patients' beliefs (59.1%). Patients knew about CAM mainly through friends (69.3%) and family (69.3%). Most patients were generally satisfied (93.6%) and considered CAM helpful (89.8%), but the majority never informed their health care provider of CAM use (78.8%). Patients reported the simultaneous use of more than one type of CAM, without considering or knowing of possible side-effects. The perceived value of CAM included empowerment, control, cure, and improved quality of life. CAM use was associated with age, but no predictors of CAM use could be identified.

conclusionMedicinal herbs and spiritual therapy are commonly used among cancer patients because of perceived benefits and satisfaction. CAM use is more prevalent among females, Indo-Trinidadians, and patients aged 41-50 years old. There are no useful predictors of CAM use. More than one type of CAM is commonly used simultaneously without disclosure to health care providers.

Indexed as

AdultAgedComplementary TherapiesCross-Sectional StudiesEvaluation Studies as TopicFemaleHumansMaleMiddle AgedNeoplasmsPerceptionPrevalenceQuality of LifeSpiritual TherapiesSurveys and QuestionnairesTrinidad and TobagoCancer treatmentComplementary and alternative medicineNon-disclosurePatient satisfactionSide-effect

Identifiers

PMID28666435
PMCPMC5493839
OpenAlexW2731199035

What OpenQuestion holds

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LicenceCC BY
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.