Open Access

Pain prevalence and treatment in patients with metastatic bone disease

  • Authors:
    • Cláudia Vieira
    • Maria Fragoso
    • Deolinda Pereira
    • Rui Medeiros
  • View Affiliations

  • Published online on: February 4, 2019     https://doi.org/10.3892/ol.2019.10013
  • Pages: 3362-3370
  • Copyright: © Vieira et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The accomplishment of successful pain treatment requires evaluation, characterization and quantification. The present study characterized pain and survival in a cohort of patients with cancer with bone metastasis who were treated with intravenous bisphosphonates. A total of 84 patients self‑completed the Brief Pain Inventory (BPI) and 36‑Item Short Form Survey (SF‑36), between November 2010 and March 2011 with a 5‑year survival follow‑up as a surrogate marker of cancer burden. The median age was 62 years old (34‑85), 64% of patients were female and 58% of these females had breast cancer. In the population, self‑reported pain was 91.6%, with 29 patients (34.5%) reporting severe pain (score 7‑10). Among these patients, only 13 (44.8%) presented a similar report to that of their clinical files and 5 were undergoing treatment with strong opioids (17.2%). A total of 45 patients (46%) had not been prescribed analgesic drugs, of these patients, 32 were treated with a weak opioid, and 13 with a strong opioid. An association was observed between pain records and the prescribed analgesic (P=0.031). BPI maximum pain and overall survival data were analyzed, and a significant association was identified between male patients presenting severe pain and decreased survival (P=0.004). Male survival was associated with severe pain, which is consistent with other data. The results revealed a skeletal‑related events (SRE)‑free survival (time elapsed from diagnosis of the first bone metastasis to the first SRE) of 9 months (4.39‑13.73, 95% CI) with a statistically significant difference between subgroups of time since diagnosis of bone metastasis (P=0.005). The added value of the present study is the suggestion that complete and accurate pain narratives are mandatory and may contribute to the optimization of analgesia, and may help to increase survival rates. Optimal pain management for patients with cancer remains an urgent requirement.

Introduction

Patients with cancer may experience pain due to direct tumor effects (e.g., metastatic bone invasion) or from adverse events of treatments or pain associated with comorbidities (14). Bone invasion occurs in <95% of patients with multiple myeloma, 75% of patients with breast and prostate cancer, and 15–40% of patients with other types of tumors (57). Bone metastases are associated with morbidities, including severe pain, pathological fractures and other oncological emergencies. These skeletal-related events (SRE) have a major impact on quality of life (810).

Bone metastases are caused by upregulated osteoclastic activity, leading to increased bone resorption, and are a common source of pain. Bisphosphonates (BP) are selective inhibitors of osteoclastic bone resorption (11). BPs have been used for >15 years, and are known to reduce and delay osteoporosis and metastatic bone disease skeletal morbidity (12,13). Pamidronate (PAM) (14,15) and zoledronic acid (ZOL) are widely used BPs (8,1622). More recently approved, denosumab is a human monoclonal antibody against the cytokine receptor-activated nuclear B ligand (RANKL). RANKL is involved in tumor cell migration and is a mediator of osteoclast differentiation and activation. Denosumab has also demonstrated efficacy in terms of pain palliation (11,23).

Despite pain guidelines, some patients still suffer from uncontrolled pain due to drug side effects or lack of efficacy, or analgesic tolerance, all of which may lead to treatment discontinuations (2429). Lack of knowledge of health professionals (30,31), patient barriers precluding adequate treatment (e.g., fearing addiction), lack of compliance (32,33) and failure to diagnose specific pain syndromes (3436) can all lead to underuse of pain medication (37,38). Different genetic predispositions for pain perception, metabolism, opioid receptors and transporters (39), may also result in failure of pain relief (40,41).

To accomplish successful pain treatment, evaluation, characterization and quantification of pain are required. The use of the Brief Pain Inventory (BPI) (42,43) is desirable in clinical practice, even outside of clinical trials (44). The scores obtained will allow more accurate comparisons between different evaluations of the same patient and patient subgroups (45). The aims of our study include the evaluation of metastatic bone pain, skeleton-related events and survival in a cohort of patients with cancer treated with intravenous BPs, crosschecks between patient pain reports [BPI and 36-Item Short Form Survey (SF-36)] and data from clinical files (pain narratives), and the influence of pain and these variables on clinical outcome and survival.

Patients and methods

Patient studies and questionnaires applied

Case selection was performed among patients undergoing BP treatment at the Day Hospital of our cancer center between November 2010 and March 2011. Recruitment included the first interview, self-filling of the BPI and SF-36 and baseline collection of data from clinical files. The patients' ability to understand the study was evaluated during the medical interview.

Although pain and quality of life were evaluated in a single interview, survival rate was determined in July 2016 (with review of medical records), to accomplish a 5-year follow-up. Breast and prostate cancer history determined a 5-year final follow-up evaluation.

Inclusion criteria were as follows: adult patients with histological confirmation of cancer with bone involvement; intravenous BP treatment (at least 1 intravenous administration); >1 month expected survival; ability to understand and answer written questionnaires; and permitting blood sample collection.

Ethical issues

Before any procedure was undertaken, all patients provided written informed consent. Ethical considerations were made as per local and national Ethics Committees and the Helsinki Declaration, and ethical approval was granted by the institutional commission of ethics.

Measures
Demographic and clinical characterization

Demographic information and clinical characteristics were collected from patient files. Performance status was assessed by Eastern Cooperative Oncology Group (ECOG) score (46). Analgesic treatment categorization was performed according to the WHO analgesic ladder: i) Non-opioid drugs (anti-inflammatory drugs or acetaminophen); second; ii) weak opioid drugs (tramadol and codeine), and iii) strong opioid drugs (fast or slow-acting morphine or equivalent patches) (47,48). Invasive procedures were presented with other analgesic techniques (49,50). The daily dose of morphine was based on patient reported consumption in the BPI and clinical files, using an Opioid Morphine Equivalent Conversion adapted from R. Sittle and N. Griesinger (51).

Pain and quality of life evaluation

BPI is a numerical scale with 11-points, used to measure pain intensity from 0–10 (worst pain imaginable), and functional interference from 0–10 (complete interference) (42,43). Using ‘last week’ as a temporal reference, the BPI questionnaire facilitates pain characterization at different levels: Maximum, minimum, average and right now (43,44,52). Rating pain intensity as mild, moderate or severe was performed using the answers for ‘maximum pain’ according to the BPI authors' proposal; mild, score of 1–4; moderate, score of 5–6, and severe, score of 7–10 (44,52,53). Quality of life was evaluated using the 36-Item Short Form Health Survey (42,54).

Statistical analysis

Data were analyzed using SPSS software (version 17.0; SPSS, Inc., Chicago, IL, USA). The χ2 and log-rank tests were used. Independent prognostic factors were assessed using Cox-regression, with calculation of hazard ratios and 95% confidence interval (CI). P<0.05 was considered to be statistically significant. Survival curves were constructed using the Kaplan-Meier (KM) method and the log-rank test was used to compare differences in survival. SRE-free survival was defined as the time elapsed from diagnosis of the first bone metastases to the first SRE (SRE were considered to be events). Pathological fractures, spinal cord compression, radiotherapy of bone metastasis, neurological or orthopedic surgery and tumor-related hypercalcemia were considered to be SREs. A fracture treated with surgery and radiotherapy was considered to be a single event (8,9). Overall survival (OS) was defined as the time elapsed from diagnosis to mortality or last day of follow-up (mortality due to any cause was considered an event).

Results

Authors interviewed 186 patients, but only 84 returned questionnaires with valid answers (45% patients surveyed). Using clinical files, 79 cases (94%) demonstrated reference to pain, 6 demonstrated pain absence, 38 demonstrated only pain location, and 10 suggested irruptive pain. Regarding intensity evaluation, moderate to severe pain (13) and mild pain (12) were reported. A total of 7 patients were lost to follow-up.

Population characterization and cancer evaluation (n=84)

Table I lists the social and demographic characteristics of the patients (n=84). All patients were Caucasian, 64% were female and 77% were >50 years old (median 62, range 34–85). Sociocultural information was limited, the most common occupation was ‘work at home’ (n=18), 8 patients had a university degree (9.5%), 22 had technical training (26%) and 2 had a military career (2.4%). The social network was unstable in 10 cases (12%) and based on spouse and children in 47 cases (56%).

Table I.

Epidemiological, primary tumor and treatment characterization.

Table I.

Epidemiological, primary tumor and treatment characterization.

VariableCategoryN%
SexFemale5464
Male3036
Age groups (years old)<501923
50–592125
60–692125
≥702327
Eastern Cooperative Oncology Group score01417
14452
21417
31012
422
Primary diseaseBreast4958
Prostate1720
Multiple myeloma1316
Other56
Initial Stage at diagnosisI/II3542
(AJCC 7th edition TNM Staging System)III2428
IV2024
Unknown56
Actual (baseline) anticancer treatmentChemotherapy4452.5
Endocrine therapy3339
Trastuzumab22.5
Best supportive care56
Therapeutic WHO analgesic ladderNone89
Step I3137
Step II3238
Step III1316
Other analgesic techniquesNeurosurgery911
Radiotherapy3744
Radiopharmaceuticals11
Orthothesis2429
Skeletal related events03238
14048
289
345

The most frequent types of cancer were breast, prostate and multiple myeloma. A total of 28 patients (33.3%) exhibited bone involvement at diagnosis (including 13 myeloma cases) and 5 exhibited metastasis outside the bone (solid stage IV tumors, n=20). The median time interval from diagnosis to bone metastasis was 23 months (range, 2–91). In patients with solid tumors (n=71), 48 (68%) demonstrated synchronous or metachronous disease out of the bone (non-visceral, n=19; visceral, n=15, or both, n=14).

A total of 52 patients had diagnoses of SRE. The most frequent was radiotherapy (n=24; 46% of the total of SRE). There were 15 vertebral fractures, 1 femoral neck fracture, 12 cases of spinal cord compression syndrome and 3 cases of symptomatic hypercalcemia. The relationship between total SRE number and the impact on ECOG was significant (P<0.001).

Analgesic and BP treatment (n=84)

Analgesic treatment was recorded according to the WHO ladder (Table I). A total of 45 patients (46%) had not been prescribed analgesic drugs, including 2 patients prescribed only adjuvant drugs. Tramadol was used to treat 22 patients, 10 patients were treated with tramadol with acetaminophen, 8 patients were treated by morphine sustained release and 5 with a transdermal patch (3 with fentanyl and 2 with buprenorphine). The median time interval since the beginning of opioid treatment was 9 months (range, 1–54), and the average daily dose was 98 mg (range, 60–180). Adjuvants were used to treat 51 patients (60.7%) and 44 patients (52.4%) were prescribed drugs to supportive care of adverse events. Unfortunately, pain treatment was unclear in 12 cases (14.3%). χ2 analysis revealed that a significant association was identified between adequate treatment and complete pain evaluation (P=0.031). Only 7 patients (8.3%) had been assessed by the Pain Unit.

Intravenous PAM was the most commonly prescribed drug (n=63). BP was introduced at the time of first SRE or later in 26 patients. The median time from the start of BP treatment to the first SRE was 14 months (1–83). Dental problems were reported in 24 patients and 50% patients underwent a dental consultation prior to BP treatment. BP interruptions (n=25, 30%) were due to dental treatment (n=16), jaw osteonecrosis (n=3), impaired kidney function (n=4) or bone marrow transplantation (n=2).

Pain and quality of life evaluation (n=80)

BPI overall incidence of pain was 91.6% (considering answers to ‘maximum pain’ during the last week, n=80), including 27.5% reporting mild pain, 27.5% reporting moderate pain and 36.2% reporting intense pain (Tables IIIV). For the ‘minimum pain’ question, 24% patients reported moderate and 32% reported severe pain. For the ‘pain right now’ question, a statistically significant difference was demonstrated between the answers to the different questions (P<0.001). A total of 32 patients (38%) performed BPI evaluation before the first SRE.

Table II.

Characterization of pain and BPI pain severity rating.

Table II.

Characterization of pain and BPI pain severity rating.

Characterization of pain in the last week

Maximal painMinimal painAverage painPain now (at the time of inventory completion)




Classification of the severity of painN%N%N%N%
No pain78.81119.967.61822.8
Mild2227.54962.03443.03443.0
Moderate2227.51215.22531.61517.0
Severe2936.278.91417.71215.2
Total82100791007910079100

[i] The classification of the severity of pain as mild, moderate or severe was made according to the proposal of the authors of the original BPI, e.g., using the answers to the question about pain in the ‘maximum’ and stratifying on 1–4 (mild pain), 5–6 (moderate) and 7–10 (severe). BPI, Brief Pain Inventory.

Table IV.

Summary of brief pain inventory answers.

Table IV.

Summary of brief pain inventory answers.

Brief pain inventory answersMaximal painMinimal painAverage painPain nowTreatment reliefGeneral activitiesMoodWalkingNormal workRelation with other peopleSleepPleasure with life
N
  Valid answer807979797480798077807980
  No answer455510454745  4
Average534346555534  4
Median634350556623  3
Standard deviation222327333333  4
Minimum00000000000  0
Maximum101091010010101010101010
Pain relief with treatments
  Variable (% of relief)0102030405060708090100Total
  Frequency683871577751  74
  %8114119.5209.59.59.571100

Only 1 patient reported complete relief with therapy and 54% reported pain reduction >50%. A total of 32 patients reported insufficient relief (0–40%), 22 reported moderate relief (50–60%) and 20 reported significant relief (70–100%). A total of 27 patients, 53% of those reporting moderate to severe pain, underwent opioid treatment, with 16% treated with a strong opioid (Tables III and IV).

Table III.

BPI pain severity rating and its relation with analgesic therapy.

Table III.

BPI pain severity rating and its relation with analgesic therapy.

Pain intensity vs. analgesic therapy Analgesic

IntensityNoneNon-opioidWeak opioidStrong opioidTotal
No pain13307
Mild3710222
Moderate1106320
Severe2913529
Total729321078

[i] The classification of the severity of pain as mild, moderate or severe was made according to the proposal of the authors of the original BPI, e.g., using the answers to the question about pain in the ‘maximum’ and stratifying on 1–4 mild pain, moderate 5–6 and 7–10 severe. Brief Pain Inventory.

Cancer pain severity affects general activity (P<0.001), mood (P=0.001), ability to walk (P=0.001), ability to perform normal work (P<0.001) and the joy of living (P=0.033). As pain intensity increases, interference with daily activities also increases (score ≥5). No statistically association was identified in terms od sleep, social relationships and reported pain vs. therapeutic regimen (Tables III and IV). Table V presents relevant data from the SF-36 Quality of Life Questionnaire is presented. The adherence to self-fulfilling was lower than that of the BPI assessment.

Table V.

Summary analysis of questions from SF-36 questionnaire.

Table V.

Summary analysis of questions from SF-36 questionnaire.

Questions from SF-36 questionnaireGeneral healthComparing health with 1 year agoDifficulty taking bath or dressing itselfHow it interferes in social activitiesHow it interferes in normal professional workHow much time Feeling happyHow much time feeling interference in social activities








N
  Valid answer80807777777474
  No answer447771010
Average3.682.992.062.513.053.453.26
Medium4.003.002.003.003.004.003.00
Standard deviation0.6321.3260.6561.1431.1801.5971.147
Minimum2111111
Maximum5535565

[i] SF-36, 36-Item Short Form Survey.

Breast cancer subgroup

A total of 49 patients (58%) had a primary tumor of the breast, the median age of whom was 58 years (range, 34–85) and only 2 patients had triple negative tumors (Table VI). Twelve patients presented with bone metastases at diagnosis (24.5%). At the time of BPI completion, 29 patients (59.2%) presented with disseminated predominantly blastic bone disease. 1 SRE was recorded for 27 patients (55.1%) and ≥1 in 4 patients (8.2%). The mean value of CA 15.3 was 244 U/ml (range, 12–2246), with 9 patients presenting normal values (<30 U/ml). The median time interval since diagnosis was 70 months (range, 6–278) and the median time interval since bone metastasis was 27 months (range, 4–91). In BPI, 31 patients reported moderate or severe pain (63.26%) and in the Quality of Life Questionnaire, 22 patients reported feeling happy for a ‘small part of the time’ or ‘never’ (>50%). Only 6 patients underwent treatment with strong opioid (12%). There were no statistically significant differences in terms of pain severity among the different characteristics of this subgroup.

Table VI.

Breast cancer subgroup characterization.

Table VI.

Breast cancer subgroup characterization.

Breast cancerVariableN%
Histological subtypeDuctal3467.3
Lobular48.2
Mixed612.2
Unknown510.2
GradeI24.1
II3367.3
II714.3
Unknown714.3
Endocrine receptorsPositives4285.7
Negatives510.2
Unknown24.0
HER2Positive510.2
Negative3469.4
Unknown1020.4
Initial Stage at diagnosis (AJCC 7th Edition TNM Staging System)I510.2
II2142.9
III1122.4
IV1224.5
Current anticancer treatmentChT2346.9
ET2244.9
Trastuzumab24.1
ChT+trastuzumab24.1
Others metastasisNone1530.6
Non-visceral612.2
Visceral1734.7
Both1122.4

[i] HER2, human epidermal growth factor receptor 2; ChT, chemotherapy; ET, endocrine therapy.

Survival data (n=84)

To better understand cancer burden and treatment outcomes, a 5-year period was considered for survival time. In 2011, when the 84 questionnaires were completed, only 4 patients suffered mortality. OS analysis revealed a statistically significant association between tumors (P=0.035) and stage at diagnosis (P<0.001) with OS. ECOG was also significantly associated with OS (P=0.002). Data regarding ‘maximum pain’ during the last week was analyzed in terms of OS, and a statistically significant association was identified in the male subgroup, with decreased survival associated with patients with intense pain (P=0.004). Average SRE-free survival was 9 months (range, 4.39–13.73, 95% CI). Statistically significant differences between subgroups were identified for time since diagnosis of bone metastasis (P=0.005) in terms of SRE-free survival. A statistically significant association was found between stage at diagnosis and SRE-free survival (P<0.001), with decreased survival demonstrated for patients with stage IV disease. Neither OS nor SRE-free survival were associated with age, female sex, baseline anticancer treatment, SRE number, presence of visceral metastasis or other BPI answers (namely, number of pain locations).

Discussion

Adequate treatment of pain may be limited by the patient, health professional or national health system (25,3033). To evaluate pain intensity, scales such as visual analog, numerical rating, faces or qualitative scales are the most frequently used procedures (3,30,53,55,56). Only 25/79 patients (31%) presented evaluation of pain intensity using these methodologies in the present study. Inventories aim to assess pain in a more comprehensive way, but they are time and resource consuming (3,43,44,52).

In the present study, breast and prostate cancer were the most prevalent, and multiple myeloma the least prevalent. This is consistent with the reported prevalence of the population (5760). Furthermore, at diagnosis, 28% patients with solid tumors present with stage IV disease. Considering BPI results, overall pain incidence was 91.6%, higher than that previously reported for cancer patients (55). A total of 32 patients performed BPI prior to the first SRE. In March 2007, a systematic review was published, reporting an overall prevalence of cancer pain of 59% (95% CI, 44–73), using visual or numerical scaling, verbal characterization or simply ‘yes or no’ methods (56). In September of the same year (2007) a systematic review of 40 years of literature concluded that 64% of patients with advanced or metastatic cancer reported pain; 59% of patients receiving anticancer treatment reported pain, and a third of patients reported pain after completing curative treatment. These data suggest that the prognosis of the primary tumor and cancer burden may not be proportional to pain (56).

Although initial surveying took place in 2011, a 5-year follow up of survival was performed to determine disease aggressiveness as well as treatment outcomes (in addition to baseline data regarding disease, metastatic pattern and anticancer treatment).

Pain perception by patients may not be coincident with health professional evaluation. For example, we observed that 63.7% of patients reported moderate to severe pain by BPI, but this was only reflected in the clinical files of 15.4% patients. Only 5 patients were treated with strong opioids (17%) and 7 patients were assessed in the Pain Unit (8.3%). These data suggest that overconsumption of anti-inflammatory drugs to the detriment of opioids may explain why 73% of patients reported inadequate relief via BPI.

Our results suggest that BP and adequate analgesia were prescribed late in the course of disease (prescribed after first SRE in 31% patients). SRE number was statistically associated with the interval between of BP therapy and ECOG. The opioid of use, SRE and ECOG were demonstrated to impact patient capacity for self-care, general activity, ability to walk and performance of normal work.

In some countries, opioids are unavailable, and in others their abusive use has resulted in a period of opioid avoidance (41). We believe that the high prevalence of pain in the present population is associated with subdiagnosis, insufficient characterization and consequent misapplication of the analgesic pain scale. Cancer pain represents a particular entity and can be treated with the same approach as that for degenerative osteo-articular pathology, for example (25,32,48,61). The systematic and complete characterization of pain, using tools that allow for the assessment of severity with accuracy and reproducibility, poses an ethical issue. Cancer pain severity affects mood and quality of life, and has been suggested to be related to pain relief treatment.

Decreased survival times of male patients reporting intense pain were independent of primary disease or SRE number (considering answers to ‘maximum pain during the last week). This may be due to a number of reasons, including psychological, sociological and genetic differences. Males may experience a different perception of pain, or interact differently with healthcare professionals than females. Furthermore, we they may suggest that males present a better accuracy in pain characterization. In a recent report of health-related quality of life (EQ-5D-5L), it was concluded that men score increased mean values using the visual analog scale (VAS) than women, and that, overall, the VAS mean decreases with age (62). Santoro et al (63) found significant sex differences in regional brain glucose metabolism associated with opioid withdrawal. However, this study was performed in a different setting of patients and with a different treatment goal. It has been suggested that the clinical response to buprenorphine or methadone can depend on sex; with females having more success using pharmacological treatments for opioid dependence compared with males. Clinical treatment failure has been more commonly reported in males (63). Sex differences in terms of pain were also identified in patients with fibromyalgia and burning mouth syndrome (64,65). Future clinical trials should specifically address the variables associated with sex in cancer patients. The small number of male patients in the present study (n=30) is a limitation, and further investigation using a larger sample size is required.

The relationship between the total SRE number and the impact on ECOG was statistically significant. SRE number had a functional impact on the daily activities of the patients. Bone metastasis at diagnosis and ECOG impacted OS, independent of pain scores. Cancer pain severity affects general activity, ability to walk, performance of normal work, mood and quality of life. Breast and prostate cancer treatments have improved over the last decade; however, performance status and the biology of bone metastasis remain the determinant factors of survival. A recent study of non-small cell lung cancer (NSCLC) reported that patients with stage I–III disease treated with BPs had improved outcomes compared with those without treatment. However, no difference was observed for patients with stage IV disease. The authors concluded that the factors associated with OS and SRE-free survival of patients with NSCLC and bone metastases remain unknown (66).

The associations between BPI evaluation and clinical impacts are consistent with previous studies (44,67). Pain remains a serious public health problem. Despite published legislation and training of health professionals, pain characterization by medical interview and pain narratives are not exhaustive enough to facilitate correct or sufficient pain management, or to improve palliative care and costs to national health systems (particularly in Portugal) (23).

The overuse of unidimensional scales may compromise the evaluation process, to the extent that malignant bone pain becomes a subjective complaint, leading to difficulties in the establishment of quantitative values and corresponding normal cutoffs.

The use of BPI and other tools, such as quality of life questionnaires, can be effective for patients with cancer pain, and they are desirable in clinical practice. Male survival was associated with severe pain, which is consistent with recent data, which suggested that treatment failure is more commonly experienced by male. The potential significance of sex should be addressed in future study.

There are a number of limitations of the present study. The sample of cancer patients from a single cancer center was small, with only one single point assessment of BPI and SF-36. However, to the best of our knowledge, this is the first study to represent the Portuguese population with cancer. Although we considered primary disease, initial staging, baseline anticancer treatment, SRE number, the presence of visceral metastasis (in addition to bone disease) and 5-year survival, our results may be biased by variety in types of cancer and/or tumor burden. The prevalence of breast and prostate cancer was high in the present study. Therefore, the impact of pain on survival may be less influenced by cancer prognosis (68). A recent systematic review addressing the impact of pain on the survival of cancer patients revealed that pain can be an independent prognostic factor in advanced prostate cancer. The authors also highlighted the interference of opioid treatment, which was less prevalent in the present study (69). It is unclear from the existing literature whether severity of pain is associated with survival. The results of the present study may guide the design of further studies with more homogeneous populations and better estimations of tumor burden, to ultimately improve pain characterization and effective pain relief.

The present study reinforces the requirement for complete and accrued pain narratives, using BPI and quality of life questionnaires, in patients with cancer. Furthermore, it was suggested that these tools may contribute to the optimization of analgesia and may increase life expectancy. Further clinical studies and pain assessment data banks (with multiple evaluations of BPI and quality-of-life questionnaires or others tools) should be implemented to validate the importance of these tools.

Acknowledgements

The authors would like to thank Dr Ana Correia de Oliveira and all of the team of the Research Center-Molecular Oncology Group; Medical Oncology and Hematology Department, Unit of Study and Treatment of Pain, Teamwork of Daily Hospital and Blood Collection Station/Clinical Laboratory of Francisco Gentil Portuguese Institute of Oncology, Porto, Portugal for helping to identify potential patients.

Funding

The present study was developed as part of a project selected as an internal clinical research project of Francisco Gentil Portuguese Institute of Oncology, Porto, Portugal (Bulletin 8/2017, CI-IPOP 70/2017).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

CV collected all the data and performed the statistical analyses. MF, DP and RM interpreted the results, assisted with statistical analyses and manuscript writing. The final manuscript has been reviewed and approved by all authors.

Ethics approval and consent to participate

Ethical considerations respected local and national Ethics Committee and Helsinki Declaration. The study protocol was approved by Instituto Português de Oncologia do Porto Francisco Gentil (IPO-PORTO) ethical committee. All patients provided written informed consent.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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March-2019
Volume 17 Issue 3

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Online ISSN:1792-1082

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Spandidos Publications style
Vieira C, Fragoso M, Pereira D and Medeiros R: Pain prevalence and treatment in patients with metastatic bone disease. Oncol Lett 17: 3362-3370, 2019
APA
Vieira, C., Fragoso, M., Pereira, D., & Medeiros, R. (2019). Pain prevalence and treatment in patients with metastatic bone disease. Oncology Letters, 17, 3362-3370. https://doi.org/10.3892/ol.2019.10013
MLA
Vieira, C., Fragoso, M., Pereira, D., Medeiros, R."Pain prevalence and treatment in patients with metastatic bone disease". Oncology Letters 17.3 (2019): 3362-3370.
Chicago
Vieira, C., Fragoso, M., Pereira, D., Medeiros, R."Pain prevalence and treatment in patients with metastatic bone disease". Oncology Letters 17, no. 3 (2019): 3362-3370. https://doi.org/10.3892/ol.2019.10013