Evidence map›Paper›PMID 25516212›Full record

Trial reportSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2015

The effect of complementary and alternative medicine on quality of life, depression, anxiety, and fatigue levels among cancer patients during active oncology treatment: phase II study.

Gil Bar-Sela, Sara Danos, Bella Visel, Tanya Mashiach, Inbal Mitnik

Abstract readClinical Trial, Phase II
PubMed Publisher
In one paragraph

Trial report in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

19 citing papers in PubMed, 32 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Gil Bar-SelaDivision of Oncology, Rambam Health Care Campus, POB 9602, Haifa, 31096, Israel, g_barsela@rambam.health.gov.il.
Sara Danos
Bella Visel
Tanya Mashiach
Inbal Mitnik
Rambam Health Care Campus · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the past decade, there has been growing interest in complementary and alternative medicine (CAM) among cancer patients and it is being integrated more frequently within conventional cancer centers. The long-term effect of mind-body therapies on quality of life (QoL), depression, anxiety, and fatigue was tested prospectively in this study. PATIENTS AND

methodsCancer patients who received six weekly sessions of CAM during their oncological treatments participated in the study. The Hospital Anxiety and Depression Scale (HADS), Brief Fatigue Inventory (BFI) and QoL-EORTC-C30 were completed during the intervention and follow-up period.

resultsOver a two-year period, 163 patients entered the study, 135 of whom completed all six CAM sessions. An improvement was demonstrated in the median of BFI from 4.8 to 3.9 (p < 0.001), HADS-Anxiety from 8 to 7 (p < 0.001) and HADS-Depression from 7 to 6 (p < 0.001) after 12 weeks. In addition, the median of global QoL improved from 50 to 67 (p < 0.001), and a significant improvement was noticed in several parameters on the functioning and symptoms scales of the QoL-EORTC-C30.

conclusionCancer patients who completed six weekly sessions of CAM improved significantly on measured outcomes, regardless of their demographic characteristics.

Indexed as

AnxietyComplementary TherapiesDepressionFatigueFemaleHumansMaleMiddle AgedNeoplasmsQuality of Life

Identifiers

PMID25516212
OpenAlexW2050549877

What OpenQuestion holds

Textmetadata
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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.