| Title |
Psychosocial predictors of posttreatment pain after nonmetastatic breast cancer treatment: a systematic review and meta-analysis of prospective studies
|
|---|---|
| Published in |
Journal of Pain Research, December 2017
|
| DOI | 10.2147/jpr.s124665 |
| Pubmed ID | |
| Authors |
M Johannsen, Y Frederiksen, Jensen, R Zachariae |
| Abstract |
The search for risk factors of pain after breast cancer, which affects a considerable proportion of the women, has primarily focused on clinical factors. The aim of this meta-analysis was to explore the less well-studied psychosocial predictors of pain after breast cancer treatment. Two independent searches were conducted in PubMed, PsycINFO, Web of Science, and CINAHL. Eligible studies were prospective, observational studies of women aged ≥18 years, diagnosed and treated for nonmetastatic breast cancer ≥3 months previously. Additional inclusion criteria were that studies had assessed at least one pain outcome and at least one psychosocial predictor. The psychosocial predictors investigated included: 1) psychological-behavioral states, 2) psychological traits, and 3) social support. Effect size correlations (ESr) were chosen as the effect size and pooled using a random effects model. We also explored a number of study characteristics as possible moderators of the effect with meta-regression. Of the total of 13 eligible studies identified, most studies measured psychosocial predictors at presurgery. Neither psychological-behavioral states (ESr: 0.05; p=0.13; K=11) nor psychological traits (ESr: 0.02; p=0.48; K=6) emerged as statistically significant predictors of pain. In contrast, higher levels of social support were statistically significantly associated with less pain (ESr: -0.24; p<0.001; K=4). In studies of psychological-behavioral states, longer follow-up was associated with smaller effect sizes (p=0.023). Furthermore, older mean sample age was associated with larger effect sizes for both psychological-behavioral states (p=0.0004) and psychological traits (p=0.035). The results of this meta-analysis suggest that psychosocial factors measured at presurgery may only be of modest predictive value in identifying women at risk of developing pain after breast cancer treatment. While speculative, psychosocial factors may play a larger role in the postsurgery trajectory, which could be valuable to investigate in future studies. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 19% |
| Student > Ph. D. Student | 10 | 14% |
| Researcher | 7 | 10% |
| Student > Bachelor | 7 | 10% |
| Student > Postgraduate | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 18 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 12 | 17% |
| Medicine and Dentistry | 10 | 14% |
| Nursing and Health Professions | 8 | 12% |
| Social Sciences | 4 | 6% |
| Neuroscience | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 23 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 December 2017.
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#13,576,042
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Outputs from Journal of Pain Research
#933
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Outputs of similar age from Journal of Pain Research
#33
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