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. 2017 Jan 25;16(1):10.
doi: 10.1186/s12904-016-0181-9.

Clinical trials in palliative care: a systematic review of their methodological characteristics and of the quality of their reporting

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Clinical trials in palliative care: a systematic review of their methodological characteristics and of the quality of their reporting

Raquel Bouça-Machado et al. BMC Palliat Care. .

Abstract

Background: Over the past decades there has been a significant increase in the number of published clinical trials in palliative care. However, empirical evidence suggests that there are methodological problems in the design and conduct of studies, which raises questions about the validity and generalisability of the results and of the strength of the available evidence. We sought to evaluate the methodological characteristics and assess the quality of reporting of clinical trials in palliative care.

Methods: We performed a systematic review of published clinical trials assessing therapeutic interventions in palliative care. Trials were identified using MEDLINE (from its inception to February 2015). We assessed methodological characteristics and describe the quality of reporting using the Cochrane Risk of Bias tool.

Results: We retrieved 107 studies. The most common medical field studied was oncology, and 43.9% of trials evaluated pharmacological interventions. Symptom control and physical dimensions (e.g. intervention on pain, breathlessness, nausea) were the palliative care-specific issues most studied. We found under-reporting of key information in particular on random sequence generation, allocation concealment, and blinding.

Conclusions: While the number of clinical trials in palliative care has increased over time, methodological quality remains suboptimal. This compromises the quality of studies. Therefore, a greater effort is needed to enable the appropriate performance of future studies and increase the robustness of evidence-based medicine in this important field.

Keywords: Clinical trials; Methodological quality; Palliative care; Risk of bias.

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Figures

Fig. 1
Fig. 1
Flow diagram of study selection process
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Fig. 2
Number of clinical trials published over time
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Fig. 3
Distribution of included CTs across medical fields
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Fig. 4
Distribution of included CTs based on types of intervention
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Fig. 5
Distribution of the most used evaluation scales in included studies
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Fig. 6
Forest plot comparing dropouts between intervention and control group
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Fig. 7
Risk of bias in included studies assessed using the Cochrane tool

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