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PLOS One logoLink to PLOS One
. 2024 Apr 16;19(4):e0296534. doi: 10.1371/journal.pone.0296534

Six-month mortality has decreased for patients with curative treatment intent for head and neck cancer in Sweden

Charbél Talani 1,2,*, Anders Högmo 3, Göran Laurell 4, Antti Mäkitie 5,6,7, Lovisa Farnebo 1,2
Editor: Chung-Ta Chang8
PMCID: PMC11020944  PMID: 38625920

Abstract

Background

In general, survival outcomes for patients with Head and Neck Cancer (HNC) has improved over recent decades. However, mortality within six months after diagnosis for curative patients remains at approximately 5%. The aim of this study was to identify risk factors for early death among patients with curative treatment, and furthermore, to analyze whether the risk of early death changed over recent years.

Material and method

This real-world, population-based, nationwide study from the Swedish Head and Neck Cancer Register (SweHNCR) included all patients ≥18 years diagnosed with HNC with a curative treatment intent at the multidisciplinary tumor board from 2008 to 2020. A total of 16,786 patients were included.

Results

During the study period a total of 618 (3.7%) patients with curative-intended treatment died within six months of diagnosis. Patients diagnosed between 2008 and 2012 had a six-month mortality rate of 4.7% compared to 2.5% for patients diagnosed between 2017 and 2020, indicating a risk reduction of 53% (p <0.001) for death within six months. The mean time to radiation therapy from diagnosis in the 2008–2012 cohort was 38 days, compared to 22 days for the 2017–2020 cohort, (p <0.001). The mean time to surgery from diagnosis was 22 days in 2008–2012, compared to 15 days for the 2017–2020 cohort, (p <0.001). Females had a 20% lower risk of dying within six months compared to males (p = 0.013). For every year older the patient was at diagnosis, a 4.8% (p <0.001) higher risk of dying within six months was observed. Patients with a WHO score of 1 had approximately 2.4-times greater risk of early death compared to WHO 0 patients (p <0.001). The risk of early death among WHO 4 patients was almost 28 times higher than for WHO 0 patients (p <0.001). Patients with a hypopharyngeal tumor site had a 2.5-fold higher risk of dying within six months from diagnosis compared to oropharyngeal tumor patients (p <0.001).

Conclusions

We found that the risk of early death decreased significantly from 2008 to 2020. During this period, the mean time to the start of treatment was significantly reduced both for surgery and oncological treatment regimes. Among patients with a curative treatment intention, increased risk of early death was associated with male sex, older age, advanced disease, increased WHO score, and a hypopharyngeal tumor site.

Background

Head and neck cancer (HNC) is one of the most common cancers worldwide, and epidemiological assessments have reported a recent global increasing incidence [15], in Sweden as well as elsewhere in the recent years [6, 7]. Simultaneously, a reduced mortality has been noted in HNC in recent decades, due to better available treatments, less smoking, a multidisciplinary approach to treatment, and earlier discovery of tumors [811].

Numerous studies have dealt with survival in patients with HNC, but population-based studies focusing on early death in curatively treated patients with HNC are scarce [12, 13]. Early death from HNC was previously defined as patients dying within six months of diagnosis in studies from the Swedish Head and Neck Cancer register (SweHNCR) [12, 14]. 4.5% of patients died within six months of diagnosis between 2008 and 2015, even though they received curative-intended treatment [12]. Curative-intended treatment is often aggressive, costly, and comes with considerable side effects [15, 16]. If patients receiving aggressive treatment die within six months, the physicians involved must address whether the indications and decision-making involved in treatment management should be re-evaluated [17]. Both surgery and radiotherapy—the backbones of head and neck cancer treatment [5, 17, 18]—warrant repeated visits to the hospital and frequent hospitalizations. Understanding the variables linked to patients at risk of early death could help clinicians better select suitable treatments, and thus avoid mutilating surgery and aggressive chemoradiotherapy in cases with a considerable risk of early death.

Sweden has a single-payer healthcare system. Major progress in clinical management of patients with HNC has been made in Sweden since 2008. Care has, in general, been influenced by international initiatives aiming to improve quality of care of patients with HNC [5, 7]. The Swedish National Guidelines for HNC were established 2015 and have since then been used at the tertiary referral hospitals in the country [18]. Therefore, to study the efficacy of the new guidelines in an era of Human Papilloma Virus (HPV) and demographic changes, further analysis of patients dying within six months of treatment is warranted. In this large, real-world, nationwide, population-based study containing 18,739 patients with HNC (16,786 curative and 1769 palliative), the primary aim was to identify patients at risk of early death after treatment with curative intent, and to analyze factors that contribute to this increased risk. Furthermore, we wanted to test the hypothesis as to whether six-month mortality has decreased for HNC patients over recent years.

Material and methods

Data source

Data were obtained from the SweHNCR (Ethics Committee approval; number 2020–01972). The SweHNCR is funded by the Swedish government and includes 98.5% of all HNC patients since 2008 when cross referenced with the register of the Department of Health and Welfare in Sweden. The authors did not have access to information that could identify individual participants during or after data collection. Application for data extraction was sent to Regional Cancer Centre Väst 15 October 2021. Decision of disclosure was made 12 November 2021, and the data file was delivered on November 26, 2021 (Number: SV2803, Diary number: HS2021-01178). Data reported to the SweHNCR included: diagnosis, TNM classification (according TNM 7 [19]), stage, sex, age, WHO score at diagnosis, time to treatment, treatment, follow-up, recurrence, and survival.

The total number of consecutively-affected Swedish patients during the period of January 1, 2008–December 31, 2020 in SweHNCR with at least six months of follow-up was 18,739 [5].

Patient population

All consecutive HNC patients, ≥18 years of age who were diagnosed in Sweden were included in the study. Patients with a palliative treatment decision at multidisciplinary tumor board (MDT) (n = 1953, 10.4%) were excluded, leaving 16,786 patients with curative treatment intent for further analysis. Patients with curatively intended treatment were divided into three groups based on year of diagnosis: 2008–2012 (n = 5778), 2013–2016 (n = 5307), and 2017–2020 (n = 5701) (Fig 1). All three groups had a similar duration, and included a comparable number of patients.

Fig 1. Flow chart describing treatment intent, year of diagnosis, and early death for included patients in green boxes.

Fig 1

Excluded patients are shown in red boxes.

Ten tumor sites (classified according to ICD-10 codes) were included: lip (C00.0–2, C00.6, C00.8, C00.9); oral cavity (C00.3, C00.4, C02, C03, C04, C05, C06); oropharynx (C01.9, C05.1, C05.2, C05.8, C05.9, C09, C10); nasopharynx (C11); hypopharynx (C12, C13); larynx (C10.1, C32); nose (C30.0) and nasal sinuses (C31); salivary glands (C07, C08); head and neck cancer of unknown primary origin (C77.0); and middle or inner ear (C 30.1). Malignant tumors located in the esophagus, thyroid, or parathyroid glands were not included, since information regarding these diagnoses is not included in the SweHNCR. The Eastern Cooperative Oncology Group score—the WHO score—runs from 0 to 5, with 0 denoting perfect health and 5 death.[20] The WHO score was rated 0–4, indicating the physical performance status of the patient. A higher score indicates worse physical performance.

HNC treatment in Sweden is centralized to seven university hospitals, although a few regional hospitals provide non-surgical oncological treatment. National Healthcare and Social Security systems are offered equally to all Swedish inhabitants. All patients are examined by either an oncologist or a head and neck surgeon after termination of treatment to evaluate treatment outcome every three months for the first two years post-treatment and every sixth months for three years after that [18].

Statistics

Results are presented as the mean, standard deviation, and range for continuous variables, and as numbers and percentages for categorical variables. Incidence rates of HNC for 2008–2020 and incidence rate ratio was calculated comparing 2020 to 2008 with 95% confidence intervals according to a method described by Martin and Austin [6, 2123]. Data from Statistics Sweden were used for information regarding yearly Swedish population count. SweHNCR was used to identify the number of new HNC cases annually. For comparisons between two groups (divided by: age, days to treatment, and days from diagnosis to death), the independent student’s t-test was used. ANOVA tests (with Bonferroni method as a post hoc test) and chi-square tests were used for categorical variables (stage, site, age group, sex, TNM score, death, time periods, and WHO function class). Exact binomial confidence intervals were estimated for proportions. Logistic regression analysis was used to control for confounding factors. To describe overall crude survival and early death for subgroups, a Kaplan—Meier plot was used, and the difference between subgroups (sex, time periods, age groups, and WHO class) was analyzed with a log-rank test. Cox regression was used for multivariable analyses with death within six months from diagnosis as failure. All significance tests were two-tailed and conducted at a 5% significance level. For all statistical analyses, we used IBM SPSS Statistics for Macintosh, Version 28.0. Armonk, NY: IBM Corp Released 2021.

Results

Epidemiology

The annual number of new patients with HNC steadily increased from 2008 (n = 1211 cases) to 2020 (n = 1673 cases). During the same period, the Swedish population increased by 12%, from 9.2M to 10.4M, indicating that factors other than a growing population were involved in the increase of new HNC cases. We noted an incidence rate ratio of 23.8% (CI 95% 23.5–24.2) between 2008 (13.0 diagnosed with HNC per 100000) and 2020 (16.1 diagnosed with HNC per 100000), corresponding to an annual incidence increase of 0.25 per 100000 (p <0.001) (calculated as described in the statistics section above) (Fig 2). Both oropharyngeal and oral cavity cancer displayed increased occurrence: the number of patients with oropharyngeal cancer rose 86% from 2008 (n = 270) to 2020 (n = 503); oral cancer rose 48% from 2008 (n = 343) to 2020 (n = 509). The incidence rate ratio for oropharyngeal cancer was 66.1% (CI 95% 64.3–68.0) between 2008 (2.92 per 100000) and 2020 (4.85 per 100000), and for oral cavity cancer was 32.3% (CI 95% 32.0–33.6) from 2008 (3.71 per 100000) to 2020 (4.90 per 100000). All other sites had fairly similar occurrence rates over the years 2008–2020 (Fig 2). The number of patients discussed at multidisciplinary tumor boards (MDT) increased from 2008 to 2020 (95% to 99.5%, mean for the total study period of 97%).

Fig 2.

Fig 2

a. Annual number of new cases of head and neck cancer in Sweden per year 2008–2020. b. Incidence of head and neck cancer in Sweden 2008–2020. c. Distribution of tumor sites of head and neck cancer in Sweden 2008–2020.

During the years 2008–2020, 618 (3.7%) of 16,786 patients died within six months of diagnosis, despite being recommended for curatively intended treatment at MDT (Fig 1).

Predictors for six-month mortality

Year of diagnosis

The total cohort was divided into three groups based on the year of diagnosis. The three groups contained a comparable number of patients: 2008–2012 (n = 5778), 2013–2016 (n = 5307), and 2017–2020 (n = 5701) (Tables 1 and 2). Between 2008–2012, six-month mortality was 4.7% compared to 3.9% and 2.5% for the years 2013–2016 and 2017–2020, respectively (p <0.001) (Table 1, Fig 3). Sex, age, and stage were evenly distributed throughout the three groups. The 2008–2012 group had a slightly higher distribution of unknown WHO scores compared to the two latter groups, (p <0.001) (Table 2). The composition of oropharyngeal and oral cavity cancer differed between the 2017–2020 cohort (30.5% and 28.3% of all HNC cancers, respectively) compared to the 2008–2012 cohort (25.3% and 26.3% respectively), (p <0.001).

Table 1. Descriptive data for patients with curative treatment intent, and univariate analysis of death within 6 months of diagnosis.
N = 16786 Prevalence n (%) Dead within 6 months/N (%) Hazard Ratio (95% CI) P-values
Sex
Male 10,712 (63.8) 424/10,712 (4.0) 1.00 -
Female 6074 (36.2) 194/6074 (3.2) 0.80 (0.68–0.95) 0.012
Total 16,786(100) 618/16,786(3.7) - -
Age (mean (sd)) 66.1 (12.6)
Age group in years
18–39 463 (2.8) 0/463 (0) - -
40–49 1139 (6.8) 14/1139 (1.2) 1.00 -
50–59 3043 (18.1) 52/3043 (1.7) 1.40 (0.77–2.52) 0.268
60–69 5378 (32.0) 155/5378 (2.9) 2.37 (1.37–4.10) 0.002
70–79 4368 (26.0) 203/4368 (4.6) 3.86 (2.24–6.62) <0.001
80+ 2395 (14.3) 194/2395 (8.1) 6.88 (4.00–11.8) <0.001
WHO Score
0 12,078 (72.0) 206/12,078 (1.7) 1.00 -
1 2244 (13.4) 145/2244 (6.5) 3.88 (3.14–4.80) <0.001
2 890 (5.3) 108/890 (12.1) 7.53 (5.97–9.51) <0.001
3 321 (1.9) 68/321 (21.2) 14.4 (11.0–19.0) <0.001
4 36 (0.2) 16/36 (44.4) 37.2 (22.4–62.0) <0.001
Missing 1217 (7.3) 75/1217 (12.1) 3.72 (2.85–4.84) <0.001
Year of diagnosis 16,786 (100) 618/16,786 (3.7) - -
2008–2012 5778 (34.4) 273/5778 (4.7) 1.00
2013–2016 5307 (31.6) 205/5307 (3.9) 0.82 (0.68–0.98) 0.026
2017–2020 5701 (34.0) 140/5561 (2.5) 0.51 (0.42–0.63) <0.001
Table 2. Descriptive data for patients with curative treatment intent grouped by time of diagnosis and univariate analyses.
Variable 2008–2012 2013–2016 2017–2020 Sig. (p-value)
Total number of patients N (%) 5778 (100) 5397 (100) 5791 (100) -
Oropharynx n (%) 1461 (25.3) 1499 (28.2) 1738 (30.5) <0.001
Oral cavity n (%) 1531 (26.5) 1514 (28.5) 1615 (28.3) <0.001
Other sites n (%) 2786 (48.2) 2294 (43.2) 2348 (41.2) <0.001
Male n (%) 3713 (64.3) 3416 (64.4) 3583 (62.8) 0.174
Female n (%) 2065 (35.7) 1891 (35.6) 2118 (37.2) 0.173
Age n (%) 18–39 183 (3.2) 138 (2.6) 142 (2.5) 0.337a
Age n (%) 40–49 410 (7.1) 376 (7.1) 353 (6.2) -
Age n (%) 50–59 1113 (19.3) 964 (18.2) 966 (16.9) 0.710a
Age n (%) 60–69 1999 (34.6) 1696 (32.0) 1683 (29.5) 0.600a
Age n (%) 70–79 1247 (21.6) 1358 (25.6) 1763 (30.9) <0.001a
Age n (%) 80+ 826 (14.3) 775 (14.6) 794 (13.9) 0.425a
Stage I n (%) 1722 (31.1) 1538 (30.4) 1688 (31.1) -
Stage II n (%) 1063 (19.2) 930 (18.4) 854 (15.8) <0.001b
Stage III n (%) 784 (14.2) 617 (12.2) 676 (12.5) 0.063b
Stage IV n (%) 1967 (35.5) 1982 (39.1) 2204 (40.6) 0.007b
WHO 0 n (%) 4005 (69.3) 3780 (71.2) 4293 (75.3) -
WHO 1 n (%) 720 (12.5) 763 (14.4) 761 (13.3) 0.040c
WHO 2 n (%) 289 (5.0) 287 (5.4) 314 (5.5) 0.830c
WHO 3 n (%) 108 (1.9) 95 (1.8) 118 (2.1) 0.802c
WHO 4 n (%) 14 (0.2) 12 (0.2) 10 (0.2) 0.603c
WHO missing n (%) 642 (11.1) 370 (7.0) 205 (3.6) <0.001c
No treatment n (%) 39 (0.7) 27 (0.5) 29 (0.5) 0.697d
Radiotherapy +/- Chemotherapy n (%) 2488 (43.9) 2382 (45.6) 2608 (46.3) <0.001d
Single modality surgery n (%) 1703 (30.1) 1664 (31.8) 2011 (35.7) <0.001d
Combination of surgery + radiotherapy +/- chemotherapy n (%) 1432 (25.3) 1152 (22) 987 (17.5) -
Time to surgery, mean days** 22 19 14 <0.001
Time to radiotherapy, mean days** 38 30 22 <0.001

a Chi-square between age group 40–49 and other age groups

b Chi-square between Stage I and other Stages

c Chi-square between WHO 0 and other WHO scores

d Chi-square between combined modality treatments and other treatments

**Mean duration in days between 2008–2020

Fig 3. Kaplan–Meier curve of death within six months from diagnosis based on year of diagnosis, log rank test (p <0.001).

Fig 3

Time to treatment

Time to start of treatment from diagnosis was shorter in the 2017–2020 group compared to the 2008–2012 group. The mean time to radiotherapy/chemoradiation therapy in the 2008–2012 cohort was 38 days, compared to 22 days for the 2017–2020 cohort, p <0.001. The mean time to surgery from diagnosis was 22 days in 2008–2012, compared to 15 days for the 2017–2020 cohort, p <0.001 (Table 2).

Sex

Altogether, 10,712 (63.8%) of patients were male, and 6074 (36.2%) were female (Table 1). A significant difference in mortality between the sexes was found. The six-month mortality rate among male patients was 4.0% compared to 3.2% for females (p = 0.012) (Table 1) (Fig 4). Therefore, female patients had a 20% lower risk of death within six months compared to male patients.

Fig 4.

Fig 4

a. Kaplan–Meier curve of death within six months from diagnosis based on sex, log rank test (p = 0.012). b. Kaplan–Meier curve of death within six months from diagnosis based on age at diagnosis, log rank test (p <0.001). c. Kaplan–Meier curve of death within six months from diagnosis based on WHO function class at diagnosis, log rank test (p <0.001).

Age

The mean age at diagnosis was 66 years (range: 18–102). Males were on average one year younger than the females (65.7 versus 66.7) at diagnosis (p <0.001). No patient below 40 years of age died within six months, compared to 8.1% of all patients older than 80 years (p <0.001). There was a 6.88-fold increased risk of dying within six months for patients >80 years of age compared to patients <50 years of age (Table 1) (Fig 4).

WHO score

12,078 (72%) of all patients had a WHO score of 0. Only 1.7% of all patients with WHO 0 died within six months, compared to 44.4% of those with WHO 4 (p <0.001). In univariate analysis, the risk of death within six months was 37.2 times higher for patients with WHO 4 compared to those with WHO 0 (Table 1). Mean survival time among patients dying within 6 months was 119 days for WHO 0 patients compared to 76 days for WHO 4 patients (p = 0.004) (Fig 4).

Site

The most common tumor site was the oropharynx (28%), followed by the oral cavity (27.8%) and larynx (12.7%) (Table 3). The six-month mortality rate varied between tumor sites. Worst outcomes were seen in patients with hypopharyngeal cancer, with 10.3% dying within six months, despite curative treatment intent. A univariable analysis showed that patients with a hypopharyngeal tumor had an almost 2.5-fold higher relative risk of dying within six months compared to oropharyngeal patients (p <0.001) (Table 3).

Table 3. Descriptive data for patients with curative treatment intent, and univariate analysis of death within 6 months of diagnosis.
N = 16786 Prevalence n (%) Dead within 6 months/N (%) Hazard Ratio (95% CI) P-value
Tumor site
Oropharynx 4698 (28.0) 146/4698 (3.1) 1.00 -
Oral Cavity 4660 (27.8) 201/4660 (4.3) 1.40 (1.12–1.73) 0.002
Larynx 2134 (12.7) 89/2134 (4.2) 1.35 (1.04–1.76) 0.026
Hypopharynx 591 (3.5) 61/591 (10.3) 3.45 (2.56–4.65) <0.001
Nasopharynx 381 (2.3) 5/381 (1.3) 0.42 (0.17–1.02) 0.056
Sino Nasal 690 (4.1) 26/690 (3.8) 1.22 (0.80–1.85) 0.355
Salivary Gland 1212 (7.2) 35/1212 (2.9) 0.93 (0.64–1.34) 0.683
Lip 1850 (11.0) 35/1850 (1.9) 0.61 (0.42–0.88) 0.008
CUP 559 (3.3) 19/559 (3.4) 1.10 (0.68–1.77) 0.705
Ear canal 11 (0.1) 1/10 (10) 3.46 (0.48–24.7) 0.216
Stage
I 4948 (29.5) 73/4948 (1.5) 1.00 -
II 2847 (17.0) 66/2847 (2.3) 1.58 (1.13–2.20) 0.007
III 2077 (12.4) 87/2077 (4.2) 2.88 (2.11–3.93) <0.001
IV A 5507 (32.8) 293/5507 (5.3) 3.68 (2.85–4.75) <0.001
IV B 553 (3.3) 56/553 (10.1) 7.12 (5.03–10.1) <0.001
IV C 93 (0.6) 14/93 (15.1) 11.0 (6.23–19.6) <0.001
Missing 761 (4.5) - - -
T
T1-2 11,649 (69.4) 229/11,649 (2.0) 1.00 -
T3-4 4968 (29.6) 383/4968 (7.7) 4.04 (3.43–4.76) <0.001
Missing 169 (1.0) - - -
N
N- 10,263 (61.2) 300/10,263 (2.9) 1.00 -
N+ 6520 (38.8) 318/6520 (4.9) 1.68 (1.44–1.97) <0.001
M
M0 16,511(98.4) 596/16,511 (3.6) 1.00
M1 102 (0.6) 15/102 (14.7) 4.36 (2.61–7.28) <0.001
Missing 173 (1.0) - - -

Stage

An association between tumor stage and six-month mortality was found. Among all patients in the total cohort, 54% were diagnosed with stage III or stage IV cancer (Table 3), although 55% of all women were diagnosed in stage I–II compared to 45% of all males (p <0.001). Of the 618 patients who died within 6 months, 76% had stage III or IV disease compared to 12% of patients with stage I. Significant differences in six-month mortality were also noted in stage IV. For stage I patients, six-month mortality was 1.5%, compared to 5.3%, 10.1%, and 15.1% for stages IV A, IV B, and IV C, respectively (p <0.001). In total, a patient with stage IV C disease had a 10-times higher risk of dying within six months compared to stage I patients (Table 3).

TNM class

Higher T class correlated with worse prognosis. Seventy percent of all patients had a T1-2 tumor at diagnosis (Table 3). Only 2% of the patients with a T1-2 tumor died within six months compared to 7.7% of T3-4 patients. We found that a patient with T3-4 tumor had a 3 times higher risk of death within six months compared to T1-2 patients (p <0.001) (Table 3).

A total of 11,649 (61%) of all patients had no neck metastasis (N–) at diagnosis, whereas 6520 (39%) had one or more metastases in the neck at diagnosis (N+). The six-month mortality for N—patients was 2.9%, compared to 4.9% for N+ patients (p <0.001). In total, an N+ patient had a 1.68-fold higher risk of dying within six months compared to a N—patient (Table 3).

A total of 102 (0.6%) patients had distant metastasis (M1) and were still considered (at the MDT) to benefit from curative treatment. However, 3.6% of patients with M0 disease died within six months, compared to 14.7% of patients with a M1 disease (p <0.001). We found that M1 patients had a 4.36-times higher risk of dying within six months compared to M0 patients (Table 3).

Independent factors for death within six months after diagnosis

A multivariable Cox regression was carried out with death within six months as the dependent variable (Table 4). Patients diagnosed between the years 2008–2012 had a six-month mortality rate of 4.7% compared to 2.5% for patients diagnosed between 2017–2020, indicating a risk reduction of 53% (p <0.001) for death within six months (Table 4). Females had a 20% lower risk of dying within six months compared to males (p = 0.013). For every year older the patient was at diagnosis, a 4.8% (p <0.001) higher risk of dying within six months was observed.

Table 4. Multivariable Cox regression with death within six months of diagnosis as target variable for HNC patients undergoing curative-intended treatment.

Factor Hazard Ratio (95% CI) Significance
Year of diagnosis
2008–2012 - -
2013–2016 0.83 (0.69–1.00) 0.052
2017–2020 0.47 (0.40–0.61) <0.001*
TNM Score
T1-2 vs 3–4 2.90 (2.43–3.51) <0.001*
N+/0 1.60 (1.36–1.99) <0.001*
M+/0 2.30 (1.36–3.85) 0.002*
Sex
Male - -
Female .800 (0.67–0.95) 0.013*
Age Continuously 1.05 (1.04–1.06) < .001*
WHO Function
WHO 0 - -
WHO 1 2.38 (1.90–2.97) <0.001*
WHO 2 3.84 (2.99–4.91) <0.001*
WHO 3 7.87 (5.90–10.5) <0.001*
WHO 4 27.6 (16.5–46.2) <0.001*
WHO Missing 2.90 (2.21–3.81) <0.001*
Tumor Site
Oropharynx - -
Oral cavity 1.21 (0.95–1.53) 0.121
Larynx 1.13 (0.85–1.51) 0.397
Hypopharynx 1.58 (1.16–2.14) 0.003*
Nasopharynx 0.510 (0.21–1.24) 0.137
Sino nasal 0.984 (0.63–1.53) 0.943
Salivary Gland 0.890 (0.61–1.31) 0.555
Lip 0.629 (0.41–0.95) 0.029*
CUP 1.58 (0.95–2.64) 0.077
Ear 4.84 (0.67–34.9) 0.118

*significant differences in multivariable analysis

Patients with a WHO score of 1 had approximately 2.4-times greater risk of early death compared to WHO 0 patients (p <0.001). The risk of early death among WHO 4 patients was almost 28 times higher than for WHO 0 patients (p <0.001).

A patient with a tumor localized in the hypopharynx had a 1.58-times higher risk of dying within six months compared to a patient with a tumor in the oropharynx (p = 0.003). Patients with a T3/4 tumor had a 2.9-times higher risk of dying within six months compared to T1/2 patients (p <0.001). It was found that patients with neck metastasis at diagnosis had a 1.6-times higher risk of dying within six months compared to patients without nodal involvement (p <0.001). Distant metastasis at diagnosis gave a 2.3-times higher risk of dying within six months (p = 0.002) (Table 4).

These results form a risk profile where year of diagnosis, higher age, male sex, hypopharyngeal tumor, advanced TNM class, and higher WHO score constitute risk factors for early death.

Discussion

This real-world, population-based, Swedish nationwide study, including 16,786 patients with HNC and curative treatment intent demonstrated that year of diagnosis, higher age, higher TNM class, male sex, higher WHO class, and a tumor in the hypopharynx were independent risk factors for death within six months of diagnosis. This study is a unique contribution to the knowledge of early death in patients with HNC, highlighting the significant reduction of 6-month mortality of 53% from 2008 to 2020. The effects of standardized protocols to ensure that all patients receive adequate treatment without unnecessary delays might have contributed to this reduction.

Throughout the study period, patients with curative treatment intent (n = 16,786) had 3.7% six-month mortality overall. Jensen et al. reported a 7.1% six-month mortality rate in a Danish nationwide study including 11,419 HNC patients between 2000 and 2017 treated with curatively intended radio- or chemoradiotherapy. The same author studied a series of 2209 HNC patients between 2010 and 2017 from multiple centers and found a non—cancer-specific six-month mortality of 4.4% following treatment with radiotherapy [24, 25]. Nieminen et al. reported a six-month mortality of 11.4% in a subgroup of 317 HNC patients undergoing microvascular reconstruction [26]. As patients with HNC comprise a heterogenous population, the early mortality rate differs if subpopulations of patients are analyzed. Studies looking merely at treatment with radiotherapy, or at microvascular reconstruction contain pre-selected patient cohorts likely affecting the rate of early death. Our study includes all surgical and oncological treatment options for patients with curative treatment intent and all T classes. Patients undergoing treatment with a free flap and microvascular reconstruction typically have at least a T2 tumor [17], indicating a disease with a higher risk of early death.

In the present study, men had a higher risk of early death, in accordance with the findings by Kouka et al. in their series of 8288 German HNC patients [27]. Other studies have not shown a sex-dependent rate of early death in HNC patients [12, 24]. In this study there is an uneven distribution between sexes regarding tumor stage and site; for example, only 23.5% of hypopharyngeal cancer patients were female, which can partly explain the better prognostic outcome for females.

Other studies have suggested that estrogen could have a beneficial impact on survival after HNC [2831], however that correlation was not analyzed here. In consistency with other studies [8, 12, 24, 26, 27, 32, 33], we saw that higher age and performance status correlated with an increased rate of early death. Furthermore, a hypopharyngeal tumor location, higher stage, and advanced T class were confirmed as significant independent risk factors for six-month mortality, in accordance with previous findings [12, 32, 34, 35].

Our study has revealed that the six-month mortality decreased throughout the 2008–2020 period. The reasons are most likely multifactorial. Sweden implemented standardized diagnostic work ups in 2015, which led to faster diagnoses and shortened waiting times before treatment for HNC patients. The same year, national guidelines for HNC treatment were published, leading to a national standardized consensus regarding diagnostic work-up and treatment [18]. Furthermore, oropharyngeal cancer derived from HPV is increasing [2, 7, 3638], and has a better prognosis compared to HPV-negative tumors [39, 40]. The substantial increase in HPV-positive cancers and the decreased prevalence of daily smokers in Sweden (12% in 2008 to 8% in 2020), contributing to less HPV-negative HNC cases can be part of the explanation as to why six-month mortality is decreasing for HNC patients [4143].

It is reasonable to speculate that a number of variables not registered in SweHNCR have improved the diagnostic work-up, treatment, and care of patients with HNC. Neck dissection was implemented 2015 in Sweden as the standard treatment for oral cavity cancer patients with a depth of invasion of the primary tumor exceeding 3 millimeters and N0 status [18]. This change is likely contributing to more active treatment of occult metastasis, and therefore to improved survival rates. It is also likely that novel innovative therapy has had an impact on early mortality. Since 2008, there have been several improvements in oncological treatments such as a change in external radiotherapy from using 3D conformal radiotherapy to intensity-modulated radiotherapy and volumetric modulated arc radiotherapy, shifts from neoadjuvant high-dose cisplatin regimens to concomitant cisplatin. Concomitant cetuximab treatment was proven to be less effective than concomitant cisplatin, and was excluded from routine treatment [44]. The rise of checkpoint inhibitors in the treatment of cancer have altered the prognosis for many different types of cancers [45]. However, it should be pointed out that cancer immunotherapy is only used in patients receiving palliative treatment for HNC [17]. New diagnostic tools have been increasingly available for accurate HNC diagnosis. The implementation of sentinel node biopsies in Sweden could also have contributed to identifying more contra- or bilateral metastases [46]. Moreover, the use of Positron Emission Tomography with 2-deoxy-2-[fluorine-18] fluoro- D-glucose integrated with Computed Tomography, FDG-PET/CT has improved the detection of regional and distant metastases [47, 48]. Altogether, this study suggests that standardized and rapid diagnostic work-up and treatment, together with other factors, contributes to fewer HNC patients dying within six months of diagnosis.

The limitations of the study includes its retrospective setting [49], the fact that important parameters influencing overall survival, such as comorbidities, alcohol consumption, HPV status, and smoking habits were not recorded in the early years of SweHNCR. Actual cause of death was not reported in the register, nor were data on occupational exposures, socioeconomic factors, oral hygiene, complications to treatments, and gene mutations; all factors which could influence early mortality [1, 33, 50, 51].

Compensating for several of the study’s limitations is the large population of 16,786 consecutive HNC patients with curative treatment intent, and the homogeneity of healthcare provided to all Swedes. The results in this study can be used to identify patients at high risk of early death, and thus to improve therapeutical decision making and more personalized HNC management.

Conclusion

This first European population-based analysis of trends in six-month mortality among HNC patients with curative treatment intent is based on registry data comprising 16,786 patients. The study provides generalizable epidemiological data on early mortality and survival of curative HNC patients, in a single-payer funded healthcare setting. The mean time to treatment was significantly decreased between the years 2008 and 2012 compared to 2017–2020. Encouragingly, the present results show that early mortality has decreased from 4.7% (2008–2012) to 2.5% (2017–2020) in Sweden. Female patients had a 20% lower risk of death within six months compared to male patients.

Increased age at diagnosis, male sex, higher WHO function class, advanced TNM class, and tumor in the hypopharynx were independent risk factors for death within six months.

Acknowledgments

We would like to thank Mats Fredriksson, statistician at Linköping University, for excellent statistical guidance.

Data Availability

All data are owned by a third party organization. The Swedish Head and Neck cancer Registry (SweHNCR) and Regional Cancer Center Väst owns the data. The SweHNCR contains data on almost 99% of all Head and Neck cancer patients in Sweden. The registry started in 2008. The Registry contains data on sex, age, TNM score, WHO score, smoking habits, date of diagnosis, date of death, stage, tumor site, treatment given, treatment intent, date of treatment, time from diagnosis to treatment. The authors did not receive any special privileges accessing the data that other researchers would not have. To access the data please file a formal application via this link. https://cancercentrum.se/samverkan/vara-uppdrag/kunskapsstyrning/kvalitetsregister/datauttag/ Questions regarding the Registry and access to data can be e-mailed to: arvid.widenlou.nordmark@regionvasterbotten.se.

Funding Statement

This study was supported in the form of funding by Region Östergötland (Grant No. SC-2018-00231-53) awarded to CT, Region Östergötland (Grant No. SC-2018-00231-46) awarded to LF, Cancerfonden (Grant No. 2018/502) awarded to GL, and Finska Läkaresällskapet (Grant No. AM2023) awarded to AM.

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Chung-Ta Chang

15 Jan 2024

PONE-D-23-41780Six-month mortality has decreased for patients with curative treatment for head and neck cancer in SwedenPLOS ONE

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Reviewer #1: This retrospective cohort study of patients in Sweden with HNC analyzed the incidence of different HNC cancers and the trends in early death during the time period of 2008-2020. The study results are important and deserve to be published after major revision of the article.

Strengths include the large database contributing substantial N for analyses and, I assume, the amount of clinical detail available on the patients. The ethical statements are sufficient. I found the decline in 6-month mortality interesting and encouraging. However, it is important to note that although there was a statistically significant decline in 6-month mortality post-diagnosis, overall, it remained low for curative approach treatment for HNC across all periods.

The statistical and analytic methods appear appropriate but are not well presented in the Methods, Tables, Results, or Figures. This hinders both the ability to review the methods and any future efforts to replicate the findings. For example, there should be baseline characteristics tables for each cohort (at least in the Supplemental), separate from the analytic results tables, so that the populations can be fully understood. The distribution of treatments received over time across cohorts should be reported. All Kaplan-Meier charts should contain risk tables underneath them per best reporting standards.

In general, there is low precision in the writing that needs to be improved, including missing citations and use of vague language. I noted numerous factual statements lacking a citation and insufficient explanations of statements for a general, not explicitly clinical audience of this journal. The Methods section in both the abstract and the main article are missing essential details, including a clear statement of the outcomes assessed, the comparisons performed, and the explicit inclusion/exclusion criteria. All outcomes and comparisons need to be fully described in the Methods. The separation of the cohorts by the years chosen needs to be rationalized.

Clarity and organization overall need improvement and the article would benefit from English language editing for grammar and flow. The authors are encouraged to include subheadings in the Results that improve the ease of reading, beginning with 'Patient Characteristics' and then one for each outcome assessed. All tables and figures should include appropriate captions describing the comparison displayed, defining abbreviations, notes, etc.

Previous literature on the topic of early death in HNC should be mentioned in the Introduction with better precision in terms of years, outcomes, regional populations, trends over defined periods, etc. The current treatment guidelines for HNC in Sweden should be briefly mentioned in the Introduction, as well as the gap in knowledge leading to the rationale for this study. The Discussion needs to highlight the unique contributions of this study in comparison with prior findings, which is currently not clear.

Throughout, it should be clarified that this is a study in a population of Swedish patients (vs. European or HNC patients generally). This is important as Sweden has a single-payer healthcare system and likely different available treatments for HNC compared to other nations. The impact of the advent of targeted or immunotherapy for HNC in Sweden should be discussed in the context of improved survival. The generalizability of the study findings to other regions and HNC population as a whole should be addressed in the Discussion. The limitations section should be more comprehensive and include the general limitations of retrospective cohort studies.

Reviewer #2: The authors aimed to identify risk factors for early death among patients with curative treatment, and to analyze whether the risk of early death changed over the years. In general, this is a well-written article. However, there are still some points need to be addressed.

1. In the Statistics section, the authors mentioned “… and Fisher’s exact test was used for tables with dichotomous variables (Sex, TNM score, and death).” Why these three variables were tested by Fisher’s exact test but not chi-square test?

2. In the Statistics section, the authors mentioned “Exact binomial confidence intervals were estimated forproportions. …..” Please correct “forproportions” to “for proportions.”

3. In Table 1, the authors had shown “Age continuous (mean(sd)) was 66.1 (12.6). Please delete the redundant word of ” continuous”.

4. In Table 2, the “Total patients” column is redundant and the numbers are wrong. Please correct or delete this column. Moreover, the authors should also show the “Stage” as variable to see if any difference in these three groups.

5. In the “Independent factors for death within six months after diagnosis” section, the authors mentioned “A 67-year-old patient had a 4.8% higher risk of dying within six months than a patient who was 66 years old.” Please revised this sentence to correct sentence.

6. In Table 4, the authors should mention that it is calculated by male vs female or female vs male in factor “Sex”. Moreover, the authors should also include “Stage” as factor in multivariable Cox regression analysis since this factor is also significantly different in univariate analysis.

7. In Figure 3 and 4, the authors should also mark the p values in these figures.

**********

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Reviewer #1: No

Reviewer #2: No

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Attachment

Submitted filename: PONE-D-23-41780_reviewer_comments.pdf

pone.0296534.s001.pdf (1.8MB, pdf)
PLoS One. 2024 Apr 16;19(4):e0296534. doi: 10.1371/journal.pone.0296534.r002

Author response to Decision Letter 0


20 Feb 2024

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: No

We wish to thank the Reviewers for reviewing our work so thoroughly. Revisions have been made throughout the manuscript and appear highlighted in the revised paper.

Thank you for highlighting the issue of raw data. Data are owned by a third party, the Regional Cancer Center Väst and can be accessed through a formal application to them via the following link: https://cancercentrum.se/samverkan/vara-uppdrag/kunskapsstyrning/kvalitetsregister/datauttag/

Reviewer #2: Yes

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Reviewer #1: No

Revisions have been made as requested and can be visualized in the document with tracked chances.

We would like to point out that a language revision has been carried out twice, first by CBG consult before submission in November 2023 and also after after our revisions in February 2024.

Reviewer #2: Yes

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: This retrospective cohort study of patients in Sweden with HNC analyzed the incidence of different HNC cancers and the trends in early death during the time period of 2008-2020. The study results are important and deserve to be published after major revision of the article.

Strengths include the large database contributing substantial N for analyses and, I assume, the amount of clinical detail available on the patients. The ethical statements are sufficient. I found the decline in 6-month mortality interesting and encouraging. However, it is important to note that although there was a statistically significant decline in 6-month mortality post-diagnosis, overall, it remained low for curative approach treatment for HNC across all periods. The statistical and analytic methods appear appropriate but are not well presented in the Methods, Tables, Results, or Figures. This hinders both the ability to review the methods and any future efforts to replicate the findings.

For example, there should be baseline characteristics tables for each cohort (at least in the Supplemental), separate from the analytic results tables, so that the populations can be fully understood.

Thank you for the excellent remarks.

Table 2 has been extended to now contain age group distribution between the three different cohorts, highlighted in Table 2.

The distribution of treatments received over time across cohorts should be reported.

Table 2 has been expanded to include the distribution of treatment in the three cohorts.

All Kaplan-Meier charts should contain risk tables underneath them per best reporting standards.

Thank you for this clarifying remark. Risk tables have now been added to the Kaplan-Meier charts in Fig 3 and 4a-c.

In general, there is low precision in the writing that needs to be improved, including missing citations and use of vague language. I noted numerous factual statements lacking a citation and insufficient explanations of statements for a general, not explicitly clinical audience of this journal.

Thank you for pointing this out. These issues have been addressed throughout the manuscript and changes are marked in yellow. References have been added as requested by the Reviewer 1 and language improvements have been made for clarification accordingly.

The Methods section in both the abstract and the main article are missing essential details, including a clear statement of the outcomes assessed, the comparisons performed, and the explicit inclusion/exclusion criteria.

Thank you for addressing this matter. In our nation-wide study we excluded all patients below the age of 18 years. This exclusion criterion was added to the Abstract and the main article. All patients above the age of 18 with a head and neck cancer diagnosis were included. Merely data for 1,5% of the patients were missing. Unfortunately, it is not known why these patients were missing or who they were, but it can be speculated that they were patients having for example T1 lip cancer, and thus having been surgically treated by another specialist than an ENT-doctor/Head and Neck surgeon. Other specialists are not as well informed about the registration of head and neck cancers in the SweHNCR and can thereby miss to register their case. Palliative patients were not included in the statistical analysis since this paper focused on patients with curative treatment intent, as shown in Fig 1.

Fig 1 has clarified this by adding colored boxes in the flow chart and addressing the inclusion of patients with curative treatment intent only. This is now also described in the Figure Legends.

All outcomes and comparisons need to be fully described in the Methods. The separation of the cohorts by the years chosen needs to be rationalized.

This has been addressed in Table 2, as described above. A rationale for the separation of the cohort has been added to the methods section. This separation with 5, 4, and 4 years in the groups seems logical since a 24% incidence increase in HNC during the time period was noted.

Clarity and organization overall need improvement and the article would benefit from English language editing for grammar and flow.

As stated above, English language revision was carried out before submission and again before re-submission.

The authors are encouraged to include subheadings in the Results that improve the ease of reading, beginning with 'Patient Characteristics' and then one for each outcome assessed.

For clarity reasons all headings have been reviewed and subheadings were added on page 4 “Data Source”, and page 6 “Epidemiology”. Style and font size of headings were corrected to add clarification to the subsections.

All tables and figures should include appropriate captions describing the comparison displayed, defining abbreviations, notes, etc.

All tables and figures were revised according to the instructions given by Reviewer 1.

Previous literature on the topic of early death in HNC should be mentioned in the Introduction with better precision in terms of years, outcomes, regional populations, trends over defined periods, etc.

Population-based studies on early death are scarce, which is why we wish to address this subject in our large, nationwide population. We wish to thank the Reviewers for revising our work so thoroughly. Revisions have been made throughout the manuscript and the references on early death defined as, death within six months in HNC are added in the second paragraph on page 3.

The current treatment guidelines for HNC in Sweden should be briefly mentioned in the Introduction, as well as the gap in knowledge leading to the rationale for this study.

Thank you for pointing out this important view. The Introduction has been revised according to the Reviewers’ comments, and highlighted in the manuscript on page 3.

The Discussion needs to highlight the unique contributions of this study in comparison with prior findings, which is currently not clear.

The unique contribution of this study is now emphasized in the Discussion subsection on page 15.

Throughout, it should be clarified that this is a study in a population of Swedish patients (vs. European or HNC patients generally). This is important as Sweden has a single-payer healthcare system and likely different available treatments for HNC compared to other nations. The impact of the advent of targeted or immunotherapy for HNC in Sweden should be discussed in the context of improved survival.

Both the Introduction and the Discussion sections have been revised to underscore that the cohort is Swedish.

Targeted therapy/ immunotherapy in Sweden is currently only used in the palliative setting. This study excludes palliative patients, emphasized in the Methods, and Discussions sections.

The generalizability of the study findings to other regions and HNC population as a whole should be addressed in the Discussion.

Thank you – a discussion on the generalizability has been added in the last sentence of the Discussion section, on page 18.

The limitations section should be more comprehensive and include the general limitations of retrospective cohort studies.

We added the limitation of a retrospective study design according to the Reviewers’ request on page 18, including a reference elaborating on the weaknesses of a retrospective setting (Talari et al).

Reviewer #2: The authors aimed to identify risk factors for early death among patients with curative treatment, and to analyze whether the risk of early death changed over the years. In general, this is a well-written article. However, there are still some points need to be addressed.

1. In the Statistics section, the authors mentioned “… and Fisher’s exact test was used for tables with dichotomous variables (Sex, TNM score, and death).” Why these three variables were tested by Fisher’s exact test but not chi-square test?

Sex, TNM score, and death were analyzed using Chi-square test, and the Statistics section was revised according to the Reviewers’ suggestion.

2. In the Statistics section, the authors mentioned “Exact binomial confidence intervals were estimated for proportions. …..” Please correct “forproportions” to “for proportions.”

This has been corrected, thank you for pointing it out.

3. In Table 1, the authors had shown “Age continuous (mean(sd)) was 66.1 (12.6). Please delete the redundant word of ” continuous”.

This has been corrected, thank you for pointing it out.

4. In Table 2, the “Total patients” column is redundant and the numbers are wrong. Please correct or delete this column. Moreover, the authors should also show the “Stage” as variable to see if any difference in these three groups.

Thank you for this valuable comment. The “Total patients” column has been deleted and Table 2 was revised and now contains data on stage, Age, and Treatment.

5. In the “Independent factors for death within six months after diagnosis” section, the authors mentioned “A 67-year-old patient had a 4.8% higher risk of dying within six months than a patient who was 66 years old.” Please revised this sentence to correct sentence.

We agree with the Reviewer 2 that this sentence was redundant and have now removed it from the manuscript.

A 67-year-old patient had a 4.8% higher risk of dying within six months than a patient who was 66 years old

6. In Table 4, the authors should mention that it is calculated by male vs female or female vs male in factor “Sex”.

Thank you for pointing out this mistake.

The calculation is performed as female vs male, and male having hazard ratio set to 1. This has been corrected in Table 4 by adding two new rows including male and female, and is now highlighted in the revised manuscript.

Moreover, the authors should also include “Stage” as factor in multivariable Cox regression analysis since this factor is also significantly different in univariate analysis.

TNM and stage are overlapping factors in a multivariable analysis, since they both describe the severity of the disease. Furthermore, stage is derived from the TNM classification. We chose TNM classification over stage in the multivariable analysis, because TNM gives a more detailed risk stratification in the multivariable analysis. We wanted to keep the possibility of showing that an advanced T-class had a higher hazard ratio for death within 6 months than regional metastasis, something that stage could not discriminate.

7. In Figure 3 and 4, the authors should also mark the p values in these figures.

P-values have been added to the figure legends in Figures 3 and 4a-c.

Figure 2 has also been revised according to Reviewers’ remarks. Axis legend has been enlarged and numerical data were added in Fig 2a.

Attachment

Submitted filename: response to reviewers.docx

pone.0296534.s002.docx (29.4KB, docx)

Decision Letter 1

Chung-Ta Chang

26 Feb 2024

Six-month mortality has decreased for patients with curative treatment intent for head and neck cancer in Sweden

PONE-D-23-41780R1

Dear Dr. Talani,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

Chung-Ta Chang

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Chung-Ta Chang

2 Apr 2024

PONE-D-23-41780R1

PLOS ONE

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Attachment

    Submitted filename: PONE-D-23-41780_reviewer_comments.pdf

    pone.0296534.s001.pdf (1.8MB, pdf)
    Attachment

    Submitted filename: response to reviewers.docx

    pone.0296534.s002.docx (29.4KB, docx)

    Data Availability Statement

    All data are owned by a third party organization. The Swedish Head and Neck cancer Registry (SweHNCR) and Regional Cancer Center Väst owns the data. The SweHNCR contains data on almost 99% of all Head and Neck cancer patients in Sweden. The registry started in 2008. The Registry contains data on sex, age, TNM score, WHO score, smoking habits, date of diagnosis, date of death, stage, tumor site, treatment given, treatment intent, date of treatment, time from diagnosis to treatment. The authors did not receive any special privileges accessing the data that other researchers would not have. To access the data please file a formal application via this link. https://cancercentrum.se/samverkan/vara-uppdrag/kunskapsstyrning/kvalitetsregister/datauttag/ Questions regarding the Registry and access to data can be e-mailed to: arvid.widenlou.nordmark@regionvasterbotten.se.


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