Evidence map›Paper›PMID 37710213›Full record

ReviewBMC complementary medicine and therapies2023

Use of complementary and alternative medicine by cancer patients in Colombia.

Raúl Murillo, Nidia Pinto-Martínez, Norma Serrano, Claudia Uribe, Edgar Navarro, Jorge Duque, Andrés Yepes, Laura Olaya, Carolina Mariño, Olga Lucia Morales and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in BMC complementary medicine and therapies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Toxicology reports · 2026
    Article
  2. Review
  3. Article
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

13 authors at 8 institutions in 2 countries.

Raúl MurilloHospital Universitario San Ignacio, Diagonal 70B 214 Este Apt 104, Bogotá, Colombia. rmurillo@husi.org.co.
Nidia Pinto-MartínezPontificia Universidad Javeriana, Bogotá, Colombia.
Norma SerranoHospital Internacional de Colombia-Fundación Cardiovascular, Bucaramanga, Colombia.
Claudia UribeUniversidad Autónoma de Bucaramanga, Bucaramanga, Colombia.
Edgar NavarroUniversidad del Norte, Barranquilla, Colombia.
Jorge DuqueOncólogos Asociados de Imbanaco, Cali, Colombia.
Andrés YepesClínica de Oncología Astorga, Medellín, Colombia.
Laura OlayaUnidad Oncológica Surcolombiana, Neiva, Colombia.
Carolina MariñoPontificia Universidad Javeriana, Bogotá, Colombia.
Olga Lucia MoralesHospital Universitario San Ignacio, Diagonal 70B 214 Este Apt 104, Bogotá, Colombia.
Marcela Andrea Erazo-MuñozClinica Colsanitas, Bogotá, Colombia.
Diana Carolina Sánchez-VegaClinica Colsanitas, Bogotá, Colombia.
Nicolás Martínez-RamosHospital Universitario San Ignacio, Diagonal 70B 214 Este Apt 104, Bogotá, Colombia.
Hospital Universitario San Ignacio · COFundación Universitaria Sanitas · COFundación Cardiovascular de Colombia · COPontificia Universidad Javeriana · COSouth Colombian University · COUniversidad Autónoma de Bucaramanga · COUniversidad del Norte · COUniversitat de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of complementary and alternative medicines (CAM) among cancer patients varies greatly. The available data suggest an increasing use of CAM over time and a higher prevalence in low- and middle-income countries. However, no reliable data are available from Latin America. Accordingly, we examined the prevalence of CAM use among cancer patients from six Colombian regions.

methodsWe conducted a survey on cancer patients attending comprehensive cancer centres in six capital cities from different regions. The survey was designed based on a literature review and information gathered through focus groups on CAM terminology in Colombia. Independent random samples of patients from two comprehensive cancer centres in every city were obtained. Patients 18 years and older with a histopathological diagnosis of cancer undergoing active treatment were eligible. The prevalence of CAM use is reported as a percentage with the corresponding confidence interval. CAM types are reported by region. The sociodemographic and clinical characteristics of CAM users and non-users were compared using Chi square and t tests.

resultsIn total, 3117 patients were recruited. The average age 59.6 years old, and 62.8% were female. The prevalence of CAM use was 51.7%, and compared to non-users, CAM users were younger, more frequently women, affiliated with the health insurance plan for low-income populations and non-Catholic. We found no differences regarding the clinical stage or treatment modality, but CAM users reported more treatment-related side effects. The most frequent types of CAM were herbal products, specific foods and vitamins, and individually, soursop was the most frequently used product. Relevant variability between regions was observed regarding the prevalence and type of CAM used (range: 36.6% to 66.7%). The most frequent reason for using CAM was symptom management (30.5%), followed by curative purposes (19.5%).

conclusionsThe prevalence of CAM use among cancer patients in Colombia is high in general, and variations between regions might be related to differences in cultural backgrounds and access to comprehensive cancer care. The most frequently used CAM products and practices have little scientific support, suggesting the need to enhance integrative oncology research in the country.

Indexed as

AnnonaComplementary TherapiesDrug-Related Side Effects and Adverse ReactionsNeoplasmsCitiesColombiaFemaleHumansMaleMiddle AgedColombiaComplementary therapiesIntegrative oncologyNeoplasms

Identifiers

PMID37710213
PMCPMC10500828
OpenAlexW4386746025

What OpenQuestion holds

Textmetadata
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.