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Chemotherapy and palliative care near end-of life: examining the appropriateness at a cancer institute for colorectal cancer patients



Appropriate cessation of chemotherapy and timely referral of patients to hospice services are crucial for the quality of care near death. We investigated the quality of care in our Cancer Institute in very advanced metastatic colorectal cancer patients treated in real life.

Patients and Methods

We performed a retrospective analysis of electronic medical data of patients with metastatic colorectal cancer who were candidates for chemotherapy during the study period (1 January 2007–30 June 2014) and died before 31 December 2014. Quality-of-cancer-care indicators were calculated for the overuse of chemotherapy and referral to hospice. Predictive factors of chemotherapy discontinuation and hospice referral in end-of life care were investigated using parametric and nonparametric methods.


Of the 365 patients who died before 31 December 2014, 26 (7.1%) received chemotherapy in the last 14 days of life and 36 (9.8%) started a new chemotherapy regimen in the last 30 days of life. Factors associated with the overuse of chemotherapy were being < 70 years of age for both indicators and not having received advanced chemotherapy treatments for the former indicator. The majority of patients (74.7%) had access to hospice services, of whom only a small percentage (7.2%) accessed them very near to death.


According to the criteria used, our Institute provides a good quality of cancer care for dying colorectal cancer patients, measured by the use of chemotherapy and referral to hospice in their last days of life.

Peer Review reports


Despite the progress made in cancer care, cancer is still a lethal disease and the use of chemotherapy remains crucial for both curative and palliative purposes. However, the appropriate use of chemotherapy is still unclear near death. The subtle difference between curative and palliative intent when palliative chemotherapy can extend life is under debate [1]. In addition, patient prognosis is complex to predict and the few survival prediction tools available are not easy to use. To date, there has been a lack of international guidelines on the management of cancer patients near death, except for the American Society of Clinical Oncology (ASCO) and the European Society of Medical Oncology [2, 3]. Therefore, the decision to stop a specific treatment in favor of the best palliative care is still incredibly hard and the so-called “therapeutic inertia”, i.e. the persistence of inappropriate antitumor treatments in non-responding terminal patients, is frequently used. Such overly aggressive care not only affects a patient’s quality of life (QoL) [4] but, from a healthcare system point of view, it raises questions about system sustainability given the increasing costs of cancer care (about 20% per year in the U.S. in the period 1990–2020) [5].

Earle et al. identified aggressive care near the end of life (EoL) as a sign of poor quality cancer services [6] and proposed quality indicators of cancer care for external benchmarking. Three major areas were evaluated: a) possible misuse of treatment resulting in high rates of emergency room visits, hospitalization, or intensive care unit admission; b) lack of referral or very late referral to hospice; c) overuse of chemotherapy very near to death [7]. Although numerous studies have measured some of these indicators, different criteria were used to define populations of interest, making a comparison of results more difficult.

In the present paper we report our data from a retrospective cohort study conducted at our institute (IRST IRCCS) in which we assessed the behavior of physicians towards chemotherapy prescription and the access of terminal colorectal cancer (CRC) patients to hospice care. Our objectives were to gain better knowledge have a better knowledge of the quality of cancer care services in our institute, and a deeper insight into how we manage end-of-life EoL care in a subset of patients. In particular, we aimed to report the frequency of some internationally acknowledged indicators of quality cancer care and to identify whether some factors related to patient characteristics or the organization of services provided can affect the use of chemotherapy and the referral to hospice care at EoL.


Study design and participants

We conducted a retrospective analysis of the electronic medical data of metastatic CRC patients with candidate to receive chemotherapy. We included all the consecutive patients resident in the catchment area of Forlì (188,357 inhabitants ref. year 2013) and in the adjacent area of Cesena Local Health Authority (AUSL) (209,622 inhabitants ref. year 2013) who were candidates to receive chemotherapy in a metastatic setting from 1 January 2007 to 30 June 2014 and had died before 31 December 2014. The following information was collected for each patient: age of death, gender, number of lines received for advanced disease, date of last cycle of chemotherapy and date of start of last new line of therapy. ECOG Performance Status information was collected on the day of the last chemotherapy line prescription and on the day of the last administration, or in a time range varying from the day of the last administration and 7 days before administration.

With regard to access to palliative care, analysis was possible only for a subgroup of patients who were resident in the Forlì catchment area and who died between February 2009 and December 2014, since registration of access to the palliative care network was recorded from February 2009 onwards. As cancer patients living in the two neighboring areas of Forlì and Cesena are followed by our cancer institute, we were able to verify the homogeneity of the two populations by gender, age, previous treatment for advanced disease, PS ECOG (0 vs. > 1) (data not shown).

The date of the first access to palliative care was retrieved for patients admitted to hospice or home-based hospice care for at least 1 day. Results obtained for this subpopulation can be generalized are representative of the entire population because patient characteristics were the same and all patients were followed at our institute. Patients who had only received best supportive care and patients enrolled in clinical trials were excluded.

Description of indicators

To evaluate appropriate prescription of chemotherapy, we considered 2 indicators proposed by Earle et al. [7] and measured them on the population of patients receiving chemotherapy, as follows:

  1. a)

    proportion of patients who started a new chemotherapy regimen in the last 30 days of life. The proposed appropriate threshold of < 2% was set as standard.

  2. b)

    proportion of patients who received chemotherapy administration in the last 14 days of life.

The proposed appropriate threshold of < 10% was set as standard by Earle et al. [7].

We considered all types of palliative care interventions which represent constitute the “Local Palliative Care Network (LPCN)”. The network is divided into two types of interventions: early palliative care, which is further divided into outpatient and inpatient care for patients undergoing chemotherapy, and EoL palliative care, which is further divided into inpatient hospice care and home-based hospice care mainly for those who are no longer amenable to chemotherapy. Although some authors [8] consider home-based hospice care as a form of early palliative care, we, together with others [9,10,11], regard it as a form of EoL palliative care, as the average length of stay for patients in this setting is about 60–90 days.

With regard to early palliative care interventions during the study period, oncologists did not systematically refer patients to a palliative care specialist but only requested their intervention for pain and symptom management. We did not thus were unable to analyze the impact of early palliative care on the decision of the oncologist as to whether or not prescribe administer chemotherapy.

We used the following 2 indicators proposed by Earle et al. [7], measured on the population of patients for whom the date of access to palliative care was available, to evaluate appropriate access to hospice services:

  • proportion of patients receiving hospice services before death to compare with the proposed appropriate threshold of > 55%;

  • proportion of the above-mentioned patients admitted to hospice 3 days before death to compare with the proposed appropriate threshold of < 8%.

The proposed appropriate thresholds were set as standard by Earle et al. [7].

We then compared our data considering both forms of EoL palliative care.

Statistical methods

Categorical variables were expressed as frequencies and percentages, while continuous variables were presented using median and range.

The relationship between demographic and clinical characteristics and patient status based on the considered indicators were analyzed using chi-square, Fisher exact test or Cochran-Armitage test for trend as appropriate. In case of continuous variables, Wilcoxon Mann-Whitney test was used.

Logistic regression was used to investigate the effect explanatory variables (age, gender and previous line of advanced therapy) to evaluate the physician’s behavior in the management of cancer patients in the last days of life (last chemotherapy scheme prescription ≤30 days vs. > 30 days to death; last chemotherapy cycle administration ≤14 days vs. > 14 days to death). To describe the association, adjusted odds ratios (OR) with 95% profile likelihood confidence intervals (95%CI) were evaluated. A p-value of < 0.05 was considered statistically significant. Statistical analyses were carried out with SAS Statistical software (version 9.3, SAS Institute, Cary, NC, USA).


Population characteristics

We observed 365 patients with metastatic CRC deceased before 31 December 2014 who had started a new chemotherapy regimen with palliative intent in at our Institute between 1 January 2007 and 30 June 2014. Males were 58.9% and median age was 70 years (33–87) (Table 1). Considering previous treatment features, 245 patients out of 365 (67.1%) had already received at least 1 chemotherapy treatment in metastatic setting.

Table 1 Patient characteristics and factors associated to the use of CT in the EoL

Use of chemotherapy

Thirty-six (9.8%) patients out of 365 started a new chemotherapy regimen in the last month of life, while 26 (7.1%) patients received last chemotherapy administration within 14 days before death. Out of the former 36 patients receiving a new chemotherapy regimen, 12 (33.3%) received a first-line treatment, 12 (33.3%) a second-line, 8 (22.2%) a third-line, and 4 (11.2%) > third-line.

Results showed that, among the patients receiving aggressive chemotherapy approach in the last month of life, patients aged ≤70 years of age were likely to receive a more aggressive approach (12.8% vs. 6.8%, p = 0.05) than older patients. Considering the last chemotherapy administration in the last 14 days of life, age ≤ 70 years (9.6% vs. 4.5%, p = 0.06) and not having received previous advanced treatments (p < 0.01) were predictive factors for aggressive behavior. Neither gender nor years of treatment (2007–2010 vs. 2011–2014) appeared to influence the chemotherapy approach (Table 1). These results were maintained in the multivariate analysis (Fig. 1).

Fig. 1
figure 1

Clinical factors associated to therapeutic inertia

With regard to ECOG Performance Status (PS) at the start of the last line of chemotherapy (or within the previous 7 days) (data were available for 192 patients out of 365, 52.6%), we observed that 158 (82.3%) patients had either ECOG PS 0 or 1, while 34 patients (17.7%) had either ECOG PS 2 or 3 (Table 2). At the time of the last chemotherapy administration, ECOG PS was available for 129 patients out of 365 (35.3%) and was either 0 or 1 for 91 patients (70.6%), and either 2 or 3 for 38 patients (29.4%). As expected, we found that the distribution of PS of patients who received both a new chemotherapy line in the last month of life and the last chemotherapy administration in the last 14 days of life and those who did not, was different, worsening for the group of patients who received chemo in the last period of life. This factor was not included in the multivariate analysis due to the high amount of missing data. These results are maintained in a multivariate analysis (Fig. 1).

Table 2 EoL chemotherapy and PS ECOG distribution

Access to hospice services

Regarding access to LPCN, we found that out of 166 patients resident in the Forlì catchment Local health Authority area, 28 (16.9%) patients had never had a palliative care contact with the LPCN in the advanced setting, while the remaining 138 (83.1%) had had at least one contact. In particular, 73 (44%) patients had at least one early palliative care visit, 124 (74.7%) patients accessed at least one EoL palliative care service (Hospice inpatient admission and Home-Care Hospice Program), and 59 (35.5%) patients accessed both EoL palliative care services. Out of the 124 patients who had access to EoL palliative care, 9 (7.2%) referred to the hospice in the last 3 days of life (Table 3). A higher, albeit not significant, percentage of patients who had had an early palliative consultation (80.8% vs. 69.9%, p = 0.11) accessed the hospice. However, no difference in terms of appropriate access (> 3 days from death) to Hospice itself was found among patients.

Table 3 Relationship between early PC consultation and access to EoL-PC (n = 166)


According to Earle’s criteria, our Institution carries out an acceptable “therapeutic inertia” in terms of chemotherapy administration in the last 14 days of life (7.1% compared to < 10% proposed by Earle). Nevertheless, improvements should be made concerning the start of a new chemotherapy regimen in the last month of life (9.8% compared to < 2% proposed by Earle). When considering factors predictive of therapeutic inertia, we found that age ≤ 70 years was associated with a more aggressive treatment in both starting a new chemotherapy line in the last 30 days of life and receiving chemotherapy in the last 14 days of life, as confirmed in literature [12,13,14]. Although this behavior might be acceptable from a psychological point of view, it is not indeed supported by any scientific basis, as highlighted by earlier studies [13]: a more balanced approach is currently being studied.

In this study, female gender and treating physician were no predictor factors, unlike in other studies [15]. Since our Institution is organized into pathology-specific medical teams, an appointed group of physicians regularly meeting to discuss clinical cases is in charge of the management of CRC patients, thus reducing bias of treating physician.

As for the role of PS in the decision making process, we observed that it is likely to be poorer for patients very near death. In fact, as expected, PS is poorer in patients receiving chemotherapy in the last period of life than in patients not receiving any, due to the different timing respect to death in which it was measured.

In clinical studies with chemotherapy, eligibility criteria usually couple a good PS (ECOG 0–1, less frequently 0–2) with a survival prognosis of at least 3 months. Functional activity indexes can correctly evaluate disability, but need to be combined and integrated with other parameters in order to assess prognosis. Recent evidence from Prigerson [4], that combined PS values, chemotherapy administration and QoL near death, showed that chemotherapy administration did not improve QoL for patients with poor PS. On the contrary, it can be detrimental on QoL for patients with good PS. Prognosis in advanced cancer patients is a highly debated topic. For this reason, some tools have been studied in palliative care. Among them, the Palliative Prognostic Score (PaP Score) [16,17,18] has been an accurate tool in several independent terminally ill cancer case series, classifying the studied population into 3 subgroups according to life expectancy and demonstrating that it could help clinicians to better select those patients who could actually benefit from a palliative chemotherapy. Pap Score could be assessed at every cycle of chemotherapy together with ECOG PS.

Some methodological issues on therapeutic inertia near death are noteworthy. Many publications [12, 19, 20] have measured these indicators in different types of cancer and settings in a non-homogeneous way, changing criteria to define the population of interest, so that it is almost impossible to compare data from different institutions.

We could compare our population, representing the entire population in the catchment area of our Cancer Institute, with a Canadian study [21] and an Australian study [15]: our percentage for treatment in the last 14 days is lower than in Canada, while it is similar to Australia. It is worth mentioning that, like in Australia but unlike in Canada, we restricted our analysis to CRC patients, excluding hematological malignancies which are usually more aggressively treated. In Earle’s publications, indicators were evaluated on a cohort monitored by one of the SEER (Surveillance, Epidemiology and End Results) registry whose Medicare population was > 65 years old, thus not allowing for wide comparability of percentages.

Focusing on “EoL palliative care interventions” within LPCN, we found that about 74.7% of our patients that died of cancer had received EoL palliative care. Overall, as only 16.9% of colorectal cancer patients had no access to LPCN during their cancer history, palliative care was guaranteed to the vast majority of the cancer population in this setting, and referring to EoL palliative care services, they were accessed in a timely and appropriate manner. We found also that referral to early palliative care consultation can aid subsequent referral to EoL hospice care.

In order to better understand the role of early palliative care (EPC) on patient outcome and QoL, our Institute carried out a randomized clinical trial on patients with advanced pancreas cancer, confirming that systematic EPC significantly improved QoL with respect to on-demand EPC. A positive impact was also observed for some indicators of EoL treatment aggressiveness, including the administration of chemotherapy during the last 30 days of life [22, 23]. These data confirmed the findings of Temel, Bakitas and ASCO Provisional Clinical Opinion, all of which highlighted the benefits of palliative care combined with standard anticancer therapies [24,25,26].

The main limitations of the present study include its retrospective design and the collection of data performed in a wide time range in a non-homogeneous way leading to a suboptimal completeness of retrieved data (i.e. ECOG PS). Moreover, as it was impossible to establish the reasons for chemotherapy discontinuation, we assumed it was due to progression of disease. Another limitation is that we hypothesized that death had always been cancer-related without, however, linking data to a death registry, which may have resulted in an underestimation of deaths. Despite these limitations, we used real-world clinical data, as the best informative way that can change clinical practice. An essential tool for this research was the Electronic Health Records (EHR), which allow to conduct a variety of research projects, from retrospective studies to monitoring programs like this one, that involve all treated patients for estimating the value of healthcare. Despite the lengthy adoption time of EHRs, we believe that data collection will improve over time both quantitatively and qualitatively, overcoming the limitations of using administrative data only. Our Institute has recently set up an operative taskforce, involving clinicians, methodologists, cost management specialists, and the healthcare direction to regularly verify clinical outcomes, appropriateness and costs, so that health resources can be employed to the best.


In conclusion, our assessment of the frequency of some indicators of cancer care quality shows that, according to the criteria used, our institute provides a good quality of care to the CRC patients included in this study. For the Palliative Care Community, our experience can contribute to the “culture of measuring” that needs to be enhanced in EoL care, in order to improve the quality of care. In this vision, multicenter experiences must be promoted, including also cost evaluations for a more complete picture of EoL cancer care.



American Society of Clinical Oncology


Local Health Authority


Confidence interval


Eastern cooperative oncology group performance status


Electronic Health Record


End of life


Early palliative care


Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS


Local Palliative Care Network


Odds ratio

PaP Score:

Palliative prognostic score


Quality of life


Surveillance Epidemiology and End Results


  1. Harrington SE, Smith TJ. The role of chemotherapy at the end of life: “when is enough, enough?”. JAMA. 2008;299:2667–78.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  2. Peppercorn JM, Smith TJ, Helft PR, Debono DJ, Berry SR, Wollins DS, Hayes DM, Von Roenn JH, Schnipper LE. American Society of Clinical Oncology statement: toward individualized care for patients with advanced cancer. J Clin Oncol. 2011;29:755–60.

    Article  PubMed  Google Scholar 

  3. Cherny NI, Catane R, Kosmidis P. ESMO takes a stand on supportive and palliative care. Ann Oncol. 2003;14:1335–7.

    Article  PubMed  CAS  Google Scholar 

  4. Prigerson HG, Bao Y, Shah MA Paulk ME, LeBlanc TW, Schneider BJ, Garrido MM, Reid MC, Berlin DA, Adelson KB, Neugut AI, Maciejewski PK. Chemotherapy use, performance status, and quality of life at the end of life. JAMA Oncol. 2015;1:778–84.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Sullivan R, Peppercorn J, Sikora K, Zalcberg J, Meropol NJ, Amir E, Khayat D, Boyle P, Autier P, Tannock IF, Fojo T, Siderov J, Williamson S, Camporesi S, McVie JG, Purushotham AD, Naredi P, Eggermont A, Brennan MF, Steinberg ML, De Ridder M, McCloskey SA, Verellen D, Roberts T, Storme G, Hicks RJ, Ell PJ, Hirsch BR, Carbone DP, Schulman KA, Catchpole P, Taylor D, Geissler J, Brinker NG, Meltzer D, Kerr D, Aapro M. Delivering affordable cancer care in high-income countries. Lancet Oncol. 2011;12:933–80.

    Article  PubMed  Google Scholar 

  6. Earle CC, Landrum MB, Souza JM, Neville BA, Weeks JC, Ayanian JZ. Aggressiveness of cancer care near the end of life: is it a quality-of-care issue? J Clin Oncol. 2008;26:3860–6.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Earle CC, Neville BA, Landrum MB, Souza JM, Weeks JC, Block SD, Grunfeld E, Ayanian JZ. Evaluating claims-based indicators of the intensity of end-of-life cancer care. Int J Qual Health Care. 2005;17:505–9.

    Article  PubMed  Google Scholar 

  8. Davis MP, Temel JS, Balboni T, Glare P. A review of the trials which examine early integration of outpatient and home palliative care for patients with serious illnesses. Ann Palliat Med. 2015;4:99–121.

    PubMed  Google Scholar 

  9. Maltoni M, Derni S, Innocenti MP, Rinaldi A, Amadori D. Description of a home care service for cancer patients through quantitative indexes of evaluation. Tumori. 1991;77:453–9.

    Article  PubMed  CAS  Google Scholar 

  10. Hughes SL, Cummings J, Weaver F, Manheim L, Braun B, Conrad K. A randomized trial of the cost effectiveness of VA hospital-based home care for the terminally ill. Health Serv Res. 1992;26:801–17.

    PubMed  PubMed Central  CAS  Google Scholar 

  11. Jordhøy MS, Fayers P, Saltnes T, Ahlner-Elmqvist M, Jannert M, Kaasa S. A palliative-care intervention and death at home: a cluster randomised trial. Lancet. 2000;356:888–93.

    Article  PubMed  Google Scholar 

  12. Numico G, Trogu A, Cristofano A, Mozzicafreddo A, Courthod G, Franco P, Silvestris N. Active treatment given in the last weeks of life: poor quality cancer care or justifiable behavior? Support Care Cancer. 2014;22:2813–9.

    Article  PubMed  Google Scholar 

  13. Yun YH, Kwak M, Park SM, Kim S, Choi JS, Lim HY, Lee CG, Choi YS, Hong YS, Kim SY, Heo DS. Chemotherapy use and associated factors among cancer patients near the end of life. Oncology. 2007;72:164–71.

    Article  PubMed  Google Scholar 

  14. Gonçalves JF, Goyanes C. Use of chemotherapy at the end of life in a Portuguese oncology center. Support Care Cancer. 2008;16:321–7.

    Article  PubMed  Google Scholar 

  15. Kao S, Shafiq J, Vardy J, Adams D. Use of chemotherapy at end of life in oncology patients. Ann Oncol. 2009;20:1555–9.

    Article  PubMed  CAS  Google Scholar 

  16. Maltoni M, Nanni O, Pirovano M, Scarpi E, Indelli M, Martini C, Monti M, Arnoldi E, Piva L, Ravaioli A, Cruciani G, Labianca R, Amadori D. Successful validation of the palliative prognostic score in terminally ill cancer patients. Italian Multicenter Study Group on Palliative Care. J Pain Symptom Manage. 1999;17:240–7.

    Article  PubMed  CAS  Google Scholar 

  17. Pirovano M, Maltoni M, Nanni O, Marinari M, Indelli M, Zaninetta G, Petrella V, Barni S, Zecca E, Scarpi E, Labianca R, Amadori D, Luporini G, Italian Multicenter and Study Group on Palliative Care. A new palliative prognostic score: a first step for the staging of terminally ill cancer patients. J Pain Symptom Manage. 1999;17:231–9.

    Article  PubMed  CAS  Google Scholar 

  18. Tassinari D, Montanari L, Maltoni M, Ballardini M, Piancastelli A, Musi M, Porzio G, Minotti V, Caraceni A, Poggi B, Stella A, Aielli F, Scarpi E. The palliative prognostic score and survival in patients with advanced solid tumors receiving chemotherapy. Support Care Cancer. 2008;16:359–70.

    Article  PubMed  Google Scholar 

  19. Zdenkowski N, Cavenagh J, Ku YC, Bisquera A, Bonaventura A. Administration of chemotherapy with palliative intent in the last 30 days of life: the balance between palliation and chemotherapy. Intern Med J. 2013;43:1191–8.

    Article  PubMed  CAS  Google Scholar 

  20. Sezgin Goksu S, Gunduz S, Unal D, Uysal M, Arslan D, Tatlı AM, Bozcuk H, Ozdogan M, Coskun HS. Use of chemotherapy at the end of life in Turkey. BMC Palliat Care. 2014;13:51.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Barbera L, Paszat L, Chartier C. Indicators of poor quality end-of-life cancer care in Ontario. J Palliat Care. 2006;22:12–7.

    PubMed  Google Scholar 

  22. Maltoni M, Scarpi E, Dall'Agata M, Schiavon S, Biasini C, Codecà C, Broglia CM, Sansoni E, Bortolussi R, Garetto F, Fioretto L, Cattaneo MT, Giacobino A, Luzzani M, Luchena G, Alquati S, Quadrini S, Zagonel V, Cavanna L, Ferrari D, Pedrazzoli P, Frassineti GL, Galiano A, Casadei Gardini A, Monti M, Nanni O, Early palliative care Italian study group (EPCISG). Systematic versus on-demand early palliative care: A randomised clinical trial assessing quality of care and treatment aggressiveness near the end of life. Eur J Cancer. 2016;69:110–8.

    Article  PubMed  Google Scholar 

  23. Maltoni M, Scarpi E, Dall'Agata M, Zagonel V, Bertè R, Ferrari D, Broglia CM, Bortolussi R, Trentin L, Valgiusti M, Pini S, Farolfi A, Casadei Gardini A, Nanni O, Amadori D, Early palliative care Italian study group (EPCISG). Systematic versus on-demand early palliative care: results from a multicentre, randomised clinical trial. Eur J Cancer. 2016;65:61–8.

    Article  PubMed  Google Scholar 

  24. Temel JS, Greer JA, Muzikansky A, Gallagher ER, Admane S, Jackson VA, Dahlin CM, Blinderman CD, Jacobsen J, Pirl WF, Billings JA, Lynch T. Early palliative care for patients with metastatic non-small-cell lung cancer. N Engl J Med. 2010;363:733–42.

    Article  PubMed  CAS  Google Scholar 

  25. Bakitas M, Lyons KD, Hegel MT, Balan S, Brokaw FC, Seville J, Hull JG, Li Z, Tosteson TD, Byock IR, Ahles TA. Effects of a palliative care intervention on clinical outcomes in patients with advanced cancer: the project ENABLE II randomized controlled trial. JAMA. 2009;302:741–9.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  26. Smith TJ, Temin S, Alesi ER, Abernethy AP, Balboni TA, Basch EM, Ferrell BR, Loscalzo M, Meier DE, Paice JA, Peppercorn JM, Somerfield M, Stovall E, Von Roenn JH. American society of clinical oncology provisional clinical opinion: the integration of palliative care into standard oncology care. J Clin Oncol. 2012;30:880–8.

    Article  PubMed  Google Scholar 

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The authors wish to thank Grainne Tierney and Veronica Zanoni for editing the manuscript.


This project was partially funded by MoH RF-2011-02350971 (ministerial project).

Availability of data and materials

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

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Authors and Affiliations



IM, ON, MA and MM conceived and designed the study, SD, ES, GLF, ACG and MV provided the study materials, IM, FF, EP and NG collected the data, IM, FF, ON and MM did the data analysis and interpreted the results, IM, FF, ON and MM prepared the manuscript, DA and DG revised it and all the authors finally approved the manuscript and agreed to be accountable for all aspects of the work.

Corresponding author

Correspondence to Oriana Nanni.

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This study was approved by the Ethics Committee of IRST IRCCS and Area Vasta Romagna Catchment Area, informed consent was not requested in consideration that patients were deceased.

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The authors declare that they have no competing interests.

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Massa, I., Nanni, O., Foca, F. et al. Chemotherapy and palliative care near end-of life: examining the appropriateness at a cancer institute for colorectal cancer patients. BMC Palliat Care 17, 86 (2018).

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  • Appropriateness
  • Chemotherapy
  • Palliative care
  • End of life
  • Indicators