Título

ORIGINAL PAPER

JOURNAL OF THE FACULTY OF HUMAN MEDICINE 2020 - Universidad Ricardo Palma
DOI 10.25176/RFMH.v20i3.3170

PROGNOSTIC FACTORS AND SURVIVAL STUDY IN HIGH-GRADE GLIOMA IN A HOSPITAL IN LIMA, PERU

FACTORES PRONÓSTICOS Y ESTUDIO DE SUPERVIVENCIA EN GLIOMA DE ALTO GRADO EN UN HOSPITAL DE LIMA, PERÚ

Paul Méndez-Aguilar1,a, Victor Juan Vera-Ponce2,b

1 Universidad Nacional de Trujillo, Trujillo-Perú
2 Facultad de Ciencias de la Salud, Universidad Científica del Sur, Lima-Perú.
aNeurosurgeon.   bGeneral practitioner.

ABSTRACT

Introduction: Gliomas are primary tumors of the central nervous system. They are classified from grade I-IV, with high grade III and IV being the most frequent and with poor prognosis. Objective: To determine the prognostic factors of survival in patients with high-grade gliomas in a hospital in Lima, Peru. Methods: The medical records with high-grade glioma from 2010-2014 were retrospectively reviewed, ten variables were analyzed with Kaplan-Meier and Log Rank survival graphs and the Cox regression model. Results: Out of a total of 278 patients with high-grade gliomas, 136 were men and 142 women. The analysis of Progression-Free Survival (SLP) had a range of 5.6-80.3 (median 22.7) and the analysis of overall survival (PS) had a range of 4-83.2 (median 26, 2 months. The overall survival for the IV grade tumor was 15.7 months (95% CI 14.2-17.1); the III degree was 38.4 months (95% CI 35.8-40.9). The grade (PS: HR 15; SLP: HR 25.1); surgical treatment (PS: HR 0.6; SLP: HR 0.49), age (PS: HR 1.47; SLP: HR 1.7), adjuvant treatment (PS: HR 0.6; SLP: HR 0 , 58) and karnofsky (PS: HR 0.7) were correlated; while the Karnofsky for SLP does not (P = 0.146). Conclusion: age, functional status, surgical treatment, adjuvant treatment, and tumor grade are prognostic factors for PS. In contrast, for SLP the prognostic factors were age, surgical treatment, adjuvant treatment, and tumor grade.

Keywords: survival, progression-free survival, Karnofsky Performance Status, glioma (source MeSH NLM)

RESUMEN

Introducción: Introducción: Los Gliomas son tumores primarios del sistema nervioso central. Son clasificados del I-IV grado, siendo los de alto grado el III y IV los más frecuentes y de pobre pronostico. Objetivo: Determinar los factores pronósticos de supervivencia en pacientes por gliomas de alto grado en un hospital de Lima, Perú. Objetivo: Determinar los factores pronósticos de supervivencia en pacientes por gliomas de alto grado en un hospital de Lima, Perú. Métodos: Se revisaron retrospectivamente las historias clínicas con glioma de alto grado del 2010-2014, se analizaron diez variables; con graficas de supervivencia de Kaplan-Meier y Long-rank y el modelo de regresión de Cox. Resultados: De un total de 278 pacientes con gliomas de alto grado 136 fueron varones y 142 mujeres. El análisis de la Supervivencia Libre de Progresión (SLP) tuvo un rango de 5,6-80,3 (mediana 22,7) y el análisis de supervivencia global (PS) tuvo un rango de 4-83,2 (mediana 26,2) meses. La supervivencia global para el tumor de IV grado fue 15,7 meses (IC 95% 14,2-17,1); el III grado fue de 38,4 meses (IC 95% 35,8-40,9). El grado (PS: HR 15; SLP: HR 25,1); el tratamiento quirúrgico (PS: HR 0,6; SLP: HR 0,49), edad (PS: HR 1,47; SLP: HR 1,7), tratamiento adyuvante (PS: HR 0,6; SLP: HR 0,58) y karnofsky (PS: HR 0,7) tuvieron correlación; mientras el Karnofsky para SLP no (P=0,146). Conclusión: La edad, el estado funcional, el tratamiento quirúrgico, el tratamiento adyuvante y el grado del tumor son factores pronósticos de PS; en contraste, para SLP los factores pronósticos fueron la edad, tratamiento quirúrgico, tratamiento adyuvante y el grado del tumor.

Palabras Clave: Supervivencia; Estado de ejecución de karnofsky; Glioma (fuente: DeCS BIREME).



INTRODUCTION

Glioma is a primary tumor of the central nervous system and is classified in grades I-IV according to histopathological criteria (1), according to 2007 WHO classification criteria, grades III-IV are called high grade (two). )

The term "high-grade glioma" includes several tumor names such as glioblastoma multiforme (GBM), anaplastic astrocytoma (AA), and anaplastic oligodendroglioma (OA). GBM is the most frequent tumor and corresponds to 80% of gliomas and the most aggressive, and affects approximately(2-3) people out of every 100,000 annually(3,4). However, the overall prognosis for glioma remains bad despite aggressive treatments, especially in patients with high-grade glioma, whose average survival time after surgery is only 12 to 15 months for glioblastoma and 2 to 5 years anaplastic glioma. (5,7)

Treatment of patients with high-grade gliomas remains a challenge for modern therapy. The prognosis of these patients is poor, the median patient survival after diagnosis is approximately 1 year(5,8). The need for histological diagnosis of tumor tissue in each case and the importance of decompression in symptomatic patients are well established, however, there is still controversy regarding the extent of surgical resection to be performed. Although many neurosurgeons recommend that gliomas can be resected as widely as possible (9,10), rigorous literature reviews have shown that there is little scientific evidence that aggressive surgical treatment significantly prolongs survival. (11,12)
br> The standard treatment for high-grade gliomas is multidisciplinary, but above all, the treatment is surgical(13,14). Total surgical resection is essential to increase patient survival, associated with chemotherapy and post-surgical adjuvant radiation therapy. In the past, surgical treatment was accompanied by important sequelae that led to low quality of life. Precisely, the maximum possible resection allows a better effect of radiotherapy in the control of the disease, increasing the survival of patients. Chemotherapy is part of the multidisciplinary management of gliomas, with an improvement in survival observed when associated with radiation therapy. (15,16)

Due to the fact that the survival factors in our environment are not yet clear, and the impact on health in the population is also uncertain, it is necessary to know a profile of patients with a greater and lesser chance of survival, for better decision-making, based on the evidence of our environment.

MÉTODOS .

Design and setting

Analytical, longitudinal, retrospective of survival. Performed in postoperative patients with high-grade glioma from the 2010-2014 period in the neurosurgery service of the Hospital Nacional Edgardo Rebagliati Martins.

Population and sample .

The population is all patients operated on for glioma, who were attended in the consulting room and emergency of the neurosurgery service of the Hospital Nacional Edgardo Rebagliati Martins.

Consecutive non-random sample. Information was collected from the medical records of the postoperative patients with high-grade glioma from the 2010-2014 period.

Inclusion criteria: 1) Patients older than 18 at the time of diagnosis; 2) Patients with a diagnosis of high-grade glioma confirmed by the pathological study, and 3) Patients who have undergone some type of surgical treatment.

Exclusion criteria: 1) Patients who have undergone more than one surgical intervention; and 2) Patients who have an incomplete imaging study; 3) Patients who have presented post-surgical complications inherent to the procedure, and 4) Incomplete medical records

Variables and instruments

Dependent variables

Independent variables

Procedures

Patient Selection:

In the database of the archive of medical histories the Hospital Nacional Edgardo Rebagliati Martins, 200 histories of patients with high-grade glioma who received surgical treatment, craniectomy plus tumor excision, was chosen between the years 2010-2014. All patients present histological confirmation of high-grade glioma, grade III, and IV according to the classification system of the World Health Organization.

Acquisition of the variables:

The following data were obtained from the medical records of the patients: (1) Demographic Data (age and sex) and the ability to perform routine tasks (KFS) before the operation. (2)preoperative clinical symptoms: intracranial hypertension, irritation, and symptoms of nervous exhaustion and its duration. (3) Preoperative Magnetic Resonance Imaging (MRI): before the operation, MRI contrast was performed to determine if there was hemorrhage or necrosis of the tumor, tumor location, the extent of tumor invasion, and tumor size. The extent of tumor invasion is based on the number of lobes with high T2-weighted MRI signals(4). Treatment of: (a) surgical resection is the extent of tumor resection during operation by neurosurgeons and during the study of post-operative images analyzed by radiologists. Total resection of the tumor mass was less than 5% tumor residue (to protect important neurological functions). Subtotal resection was the removal of more than 80% of the tumor mass (b) Postoperative Radiotherapy is the postoperative radiotherapy which was given to patients at a routine dose: 40-60 Gy / 28 days to the tumor and edematous peripheral area 2 cm outside of it, plus 10 to 14 Gy applied to the region of the brain that surrounds 2 cm. (c) postoperative chemotherapy: standard chemotherapy (200 mg temozolomide / m2 body surface area) was administered 4-6 course of treatment and during radiotherapy, the temozolomide dose was halved. (5) Postoperative pathologic data: Based on pathologic examinations, patients were diagnosed with anaplastic astrocytoma, anaplastic oligodendroglioma, or anaplastic mixed glioma and with grades III and IV. (6) Follow-up data include disease outcomes with PS and SLP. Follow-up data was collected mainly when patients visited outpatient clinics and in telephone interviews with patients and / or family members. The rest of the data was obtained from medical records.

Study design:


Figure 1. Patient survival record.

Statistical analysis

The summary measures of the data were presented as means ± standard deviations for the parametric data and as medians with IQRs for non-parametric data. Statistical methods were performed with the SPSS v23.0 program. The Kaplan-Meier survival analysis, the logarithmic range method, and the Cox proportional hazards regression analysis were used to analyze the effect of the different variables with time on PS and SLP. A p-value of less than 0.05 was considered statistically significant.

Ethical aspects.

The data was collected by the study researchers. At the same time, permission was obtained from the hospital for the investigation. Finally, the information of the participants was delivered in a Microsoft Excel 2016 spreadsheet without biological identifiers, maintaining the confidentiality of the data.

RESULTS.

Of a total of 305 patients with high-grade gliomas, which were identified in the collected database, 278 patients met the inclusion criteria. Of these 136 were men and 142 women; the median age of the total was 51 years of age. The most frequent high-grade glioma was grade IV (51.4%). Most of the high-grade gliomas had supratentorial location (252 patients, 90.7%); 23.4% of the patients had their tumor located in eloquent areas; 65.5% of the patients had tumors with a diameter ≥ 5cm. The initial surgical treatment was resection in 95.7% of cases. Only 12 patients underwent biopsy. 174 (62.6%) patients presented a functional state greater than or equal to 70% on the Karnofsky scale. Headache was present in 69.1%. Furthermore, 20.5% of the patients presented with Idiopathic intracranial hypertension (IIH). In the adjuvant treatment, 83.5% received radiotherapy and 60.8% received chemotherapy. The analysis of PFS time had a range of 5.6-80.3 with a mean of 22.7 months and the analysis of the follow-up of survival time had a range of 4-83.2 and a mean of 26.2 months .

Tumor grade, Karnofsky scale, surgical treatment, age, and adjuvant treatment were significantly associated with the PS that can be seen in Table No. 2 and Figure No. 1. The PS for the IV degree tumor was 15.7 months (95% CI 14.2-17.1) and for the III degree it was 38.4 months (95% CI 35.8-40.9); the patients under 60 years of age had a long PS of 32.6 months (P =0.015); for patients with a Karnofsky scale greater than 70%, they also presented 32.6 months of PS (95% CI 29.5-35.6); the patients with surgical treatment underwent total resection of the tumor, subtotal and biopsy, which had a PS of 30.8, 28.6 and 7.3 months, respectively; adjuvant radiotherapy/chemotherapy treatment had long PS (p <0.001). In the multivariate analysis, the tumor grade was the variable that had the highest correlation with PS (HR=1 5.5; p<0.001); while surgical treatment, age, adjuvant treatment, and karnofsky also correlated with PS (p=0 .07, p=0 .025, p=0.018, and p=0 .035 respectively) Table 4.

Table No. 3 and Figure No. 2. show the SLP analysis. The SLP for the IV degree tumor was 11.3 months (95% CI 10.3-12.2) while for the III degree it was 32.8 months (95% CI 29.4-36.1); for the PS it was 15.7 months (95% CI: 14.2-17.1) and 38.4 months (95% CI 35.8-40.9) respectively. In univariate analysis, SLP varies significantly with tumor grade, surgical treatment, age, Karnofsky scale, and adjuvant treatment. Patients with a cut point at 60 years had a significant variation in PFS (p= 0.01).

The multivariate analysis shown in Table 4 indicates that the tumor grade, surgical treatment, age, and adjuvant treatment were significantly correlated with PFS (p <0.001, p<0.001, p=0 .01 and p=0 .02 respectively) but no correlation was shown with the assessment of functional status (karnofsky scale).

Table 1. General characteristics of patients with high-grade glioma from the 2010-2014 period.

Variable

n

%

Age

 

 

14-30

35

12.6

31-60

150

54.0

61 and older

93

33.5

Mean

49

 

Sex

 

 

Male

136

48.9

Female

142

51.1

Location of the Tumor

 

 

Supratentorial

 

 

Frontal

58

20.9

Parietal

60

21.6

Occipital

10

3.6

Temporal

52

18.7

More than 1 affected area

72

25.9

Thalamus and Basal ganglia

18

6.5

Infratentorial

 

 

Brain stem

2

0.7

Cerebellum

6

1.7

Karnofsky

 

 

≥ 70

174

62.6

<70

104

37.4

Eloquent area

 

 

No

213

76.6

Yes

65

23.4

Tumor resection

 

 

Total

179

64.4

Subtotal

87

31.3

Biopsy

12

4.3

High-grade tumor

 

 

Grade IV

144

51.8

Grade III

134

48.2

Tumor diameter

 

 

<5 cm

96

34.5

≥ 5 cm

182

65.5

Symptoms

 

 

Seizures

84

30.2

Headache

192

69.1

Hemiparesis

85

30.6

Aphasia

50

18.0

Dysarthria

44

15.8

IIH

57

20.5

Others

52

18.7

Adjuvant treatment

 

 

RT/QT

162

58.3

RT

71

25.5

NO RT

45

16.2

Table 2. Median overall survival by a group of patients with high-grade glioma from the 2010-2014 period.

Variable

Median (months)

95% CI

p **

Degree of Tumor

 

 

 

Grade IV

15.7

14.2 - 17.1

<0.001

Grade III

39.4

35.8 - 40.9

 

Gender

 

 

 

Male

36.4

20.2 - 32.5

0.59

Female

30.8

24.1 - 37.4

 

Clinical Manifestations

 

 

 

Seizures

32.1

26.8 - 37, 3

0.54

IIH

29.5

21.1 - 35.4

0.82

Karnofsky

 

 

 

≥ 70%

32.6

39.5 - 35.6

0.005

<70%

21.4

13.0 - 37.8

 

Tumor Diameter

 

 

 

≥ 5 cm

24.7

17.3 - 32.0

0.54

<5 cm

30.8

26.1 - 35.4

 

Type of surgical treatment

 

 

 

Total

30.8

25.0 - 36.5

<0.001

Subtotal

20.60

18 , 2 - 38.9

 

Biopsy

7.3

4.6 - 9.9

 

tumor

 

 

 

Supratentorial location

29.6

24.6 - 34.5

0.56

Basal ganglia and thalamus

22.8

8.1 - 37.4

 

Infratentorial

12 , 3

7.4 - 17.1

 

Age

 

 

 

<60 years

32.6

29.2 - 35.9

0.015

≥ 60 years

22.4

17.5 - 27.2

 

Eloquence

 

 

 

Yes

32.8

27.4 - 38.1

0 , 43

No

26.4

21.3 - 31.4

 

Adjuvant Treatment

 

 

 

RT / QT

32.9

30.1 - 35.6

<0.001

RT

26.4

14.2 - 38.5

 

NO RT

12.6

10.7 - 14.4

 

Table 3. Median progression-free survival by groups of patients with high-grade glioma for the period 2010-2014

Variable

Median (months)

95% CI

p **

Degree of Tumor

 

 

 

Grade IV

13.3

10.3 - 12.2

<0.001

Grade III

32.8

29.4 - 36.1

 

Gender

 

 

 

Male

20.4

12.2 - 29.5

0.61

Female

24.8

17.9 - 31.6

 

Clinical Manifestations

 

 

 

Seizures

28.6

21.5 - 35.6

0.57

IIH

25.7

14.2 - 37.1

0.961

Karnofsky

 

 

 

≥ 70%

29.7

25.1 - 34.2

0.045

<70%

14 , 6

9.9 - 19.2

 

Tumor Diameter

 

 

 

≥ 5 cm

20.8

14.1 - 27.5

0.62

<5 cm

27.9

21.7 - 34.0

 

Type of surgical treatment

 

 

 

Total

28.3

25 , 0 - 36.5

<0.001

Subtotal

20.4

8.9 - 31.8

 

Biopsy

-

-

 

Tumor location

 

 

 

Supratentorial

24.8

18.8 - 30.7

0.58

Basal ganglia and thalamus

20.4

14.5 - 25.7

 

Infratentorial

10.0

5.4 - 14.5

 

Age

 

 

 

<60 years

28.6

23.4 - 33.7

0.01

≥ 60 years

15.4

9.5 - 21.2

 

Eloquence Area

 

 

 

Yes

28.3

18 , 9 - 37.6

0.465

No

22.6

15.5 - 29.6

 

Adjuvant Treatment

 

 

 

RT/QT

30.4

28.5 - 32.2

<0.001

RT

14.9

11.1 - 18, 6

 

NO RT

9

7.6 - 10.3

 

* * 95% CI: 95% confidence interval. RT: radiotherapy. RT / QT: a combination of radiotherapy and chemotherapy. No RT: No radiation therapy. IIH: Idiopathic intracranial hypertension
** P-value obtained through the Log Rank test

Table 4. Multivariate analysis with the COX proportional hazards ratio model for progression-free survival (SLP) and overall survival (PS).

 

SLP

PS

Variable

HR Adjusted

95% CI

P **

HR Adjusted

95% CI

P **

Tumor

 

 

 

 

 

 

Grade IV

Ref.

 

 

Ref.

 

 

Grade III

25.1

14.6 - 42.9

<0.001

15.5

9.4 - 25.4

<0, 01

Surgical Treatment

 

 

 

 

 

 

Total

Ref.

 

 

Ref.

 

 

Subtotal

0.49

0.33 - 0.70

<0.001

0.6

0.41 - 0.87

0.07

Age

 

 

 

 

 

 

<60 years

Ref.

 

 

 

 

 

≥ 60 years

1.7

1.23 - 2.44

0.02

1.47

1.4 - 2.07

0.025

Adjuvant Treatment

 

 

 

 

 

 

RT / QT

Ref.

 

 

Ref.

 

 

RT

0.58

0.41 - 0.81

0.02

0.667

0.47 - 0.93

0.018

Karnofsky

 

 

 

 

 

 

≥ 70%

Ref.

 

 

Ref.

 

 

<70%

1.3

0.91 - 1.88

0.146

0.7

0.52 - 0.97

0.035

 

* 95% CI: 95% confidence interval. HR: Hazard Ratio. RT: radiotherapy. RT / QT: a combination of radiotherapy and chemotherapy.
** p-value obtained through the Log Rank test

Figure 2. Survival charts showing overall survival (PS) by tumor grade (A), Adjuvant Treatment (B), age (C), Surgical Treatment (D), Karnosfsky (E) and Tumor location (F).

Figure 3. Graphics of survival showing progression-free survival (PFS) by tumor grade (A), Adjuvant Treatment (B), age (C), Surgical Treatment (D), Karnofsky (E), and Tumor location (F).

DISCUSSION

Glioblastoma multiforme (IV degree tumor) is the most aggressive primary neoplasm of the central nervous system. This neoplasm occurs mainly between 60 and 70 years old. In the present study, the median age of the patients was 51 years, which is consistent with the studies by McGirt and Liang. (17,18)with a median of 54 years. Furthermore, patients with a range greater than or equal to 60 years had lower average survival. Similar data were found in the studies by Yong-jian (19)and Lacroix for age ≥ 65 years (20)and lower progression-free survival .

Men represent the largest number of patients with high-grade glioma; however, in our study, there was no correlation with PS or SLP. (8,19,21) .

As the most frequent clinical manifestation in our study was a headache, followed by seizures and motor deficit (13,22,23), however, none of them was related to patient survival; unlike Liang's study, in which he found an association in survival, by separating symptoms that do or do not belong to the picture of intracranial hypertension.

In our study, the Karnofsky scale (KFS) was used to assess the functional state of the patient, which was considered a good functional state at a KFS≥70, which was the most frequent and was correlated with better survival (median of 32, 6 months) (24), other studies such as Lacroix and Chaichana reported similar results but with a KFS ≥80(20,23). No association was found regarding PFS .

IV grade tumors, called glioblastoma multiforme, are the tumors with the shortest survival time, so in our study, the PS was 15.7 months, these are corroborated in the literature with many studies (17,18,20,22-25)and in terms of PFS was 11.3 months, similar to the results of Ahmadloo (22) in a series of 223 patients; III degree tumor, called anaplastic gliomas, the survival was 38.4 months and PFS was 32.8, similar findings to the Nuño study(26); According to the data from our study, the grade of the tumor is a strong prognostic factor .

The location of the tumor is another of the variables that have been evaluated in our study, where tumors of the supratentorial location were the most frequent, and of these tumors that had more than 1 affected area, the parietal and frontal region were the most frequent. affected (18), however, there was no correlation with the PS or the SLP (22,23,27), unlike Kumar, who found an association between the location of the tumor (parietal lobe) and survival(4). In our study we also evaluated the location of the tumor in an eloquent area, most of the tumors were not in these areas and there was also no correlation with PS and PFS, similar results exist in the literature (20,23). Few studies take the variable diameter of the tumor with a cut point between 4 or 5 cm in diameter, our study used the latter, without finding a correlation (19,22,24).

As for the treatment of tumors, the surgical option remains the choice for the management of this pathology, with total or near-total resection providing the best PS (median of 30.8 months) when compared to the subtotal (median of 20.6 months) or biopsy (median of 7 months) In addition, it forms a good prognostic factor (23,24).similar to most studies; thus, it also influences PFS with a median of 28.3 and 20.4 for total and subtotal resection, respectively (22,23).. Adjuvant treatment with radiotherapy and chemotherapy or a combination of these improves the average survival and PFS, as well as being a good prognostic factor (22,23).; at this point in reference, it coincides with many of the published studies .

There are some limitations to the study to consider. First, the study population is only from a hospital, so extrapolating all these results to the population may not be completely recommended; however, since the hospital is a place where most cases arrive from all over the country, some inference can be made, and the results should not vary in the magnitude of the result. Then, we can consider Berkson's bias, which tells us about the impact of working with people enrolled in a hospital; But, as this is a single-arm study, looking only at the prognostic factors for high-grade glioma, its impact on the outcome should not be significant. .

CONCLUSION: .

According to the data in our study, age, functional status, surgical treatment, adjuvant treatment, and tumor grade are prognostic factors for overall survival in patients with high-grade glioma. In contrast to progression-free survival, prognostic factors were age, surgical treatment, adjuvant treatment, and tumor grade.


Author's contribution: The authors participated in the genesis of the idea, project design, data collection and interpretation, analysis of results, and preparation of the manuscript of the present research work.
Funding sources:Self-financed.
Conflicto de interés: The authors declare that they have no conflict of interest.
Received:June 26,2020
Approved:July 12, de 2020


Correspondence: Víctor Juan Vera Ponce.
Address: Universidad Ricardo Palma. Av. Alfredo Benavides 5440, Santiago de Surco, Lima-Perú.
Telephone number: + 51 940072431
E-mail: victor_jvp@hotmail.com


BIBLIOGRAPHIC REFERENCES

    1. Prabhu VC, Khaldi A, Barton KP, Melian E, Schneck MJ, Primeau MJ, et al. Management of diffuse low-grade cerebral gliomas. Neurol Clin. 2010;28(4):1037–59. DOI: https://doi.org/10.1016/j.ncl.2010.03.022
    2. Wen PY, Kesari S. Malignant gliomas in adults. N Engl J Med. 2008;359(5):492–507. DOI: 10.1056/NEJMra0708126
    3. Bradley D, Rees J. Updates in the management of high-grade glioma. J Neurol. 2014;261(4):651–4. DOI: https://doi.org/10.1007/s00415-013-7032-x
    4. Kumar N, Kumar P, Angurana SL, Khosla D, Mukherjee KK, Aggarwal R, et al. Evaluation of outcome and prognostic factors in patients of glioblastoma multiforme: A single-institution experience. J Neurosci Rural Pract. 2013;4(Suppl 1):S46–55. DOI: 10.4103/0976-3147.116455
    5.Sanai N, Alvarez-Buylla A, Berger MS. Neural stem cells and the origin of gliomas. N Engl J Med. 2005;353(8):811–22. DOI: 10.1056/NEJMra043666
    6. Nazzaro JM, Neuwelt EA. The role of surgery in the management of supratentorial intermediate and high-grade astrocytomas in adults. J Neurosurg. 1990;73(3):331–44. DOI: https://doi.org/10.3171/jns.1990.73.3.0331
    7. Quigley MR, Maroon JC. The relationship between survival and the extent of the resection in patients with supratentorial malignant gliomas. Neurosurgery. 991;29(3):385–8. DOI: https://doi.org/10.1227/00006123-199109000-00008
    8. Markert JM. The role of early resection vs biopsy in the management of low-grade gliomas. JAMA. 2012;308(18):1918–9. DOI: 10.1001/jama.2012.14523
    9. Puiggròs C, Lecha M, Rodríguez T, Pérez-Portabella C, Planas M. El índice de Karnofsky como predictor de mortalidad en pacientes con nutrición enteral domiciliaria. Nutrición Hospitalaria. 2009;24(2):156–60. Available at: http://scielo.isciii.es/scielo.php?pid=S0212-16112009000200008&script=sci_arttext&tlng=en
    10. Louis DN, Ohgaki H, Wiestler OD, Cavenee WK, Burger PC, Jouvet A, et al. The 2007 WHO Classification of Tumours of the Central Nervous System. Acta Neuropathol. 2007;114(2):97–109. DOI: https://dx.doi.org/10.1007%2Fs00401-007-0243-4
    11. Stewart LA. Chemotherapy in adult high-grade glioma: a systematic review and meta-analysis of individual patient data from 12 randomised trials. Lancet. 2002;359(9311):1011–8. DOI: https://doi.org/10.1016/S0140-6736(02)08091-1
    12. Walker MD, Green SB, Byar DP, Alexander E, Batzdorf U, Brooks WH, et al. Randomized comparisons of radiotherapy and nitrosoureas for the treatment of malignant glioma after surgery. N Engl J Med. 1980;303(23):1323–9. DOI: 10.1056/NEJM198012043032303
    13. Nitta T, Sato K. Prognostic implications of the extent of surgical resection in patients with intracranial malignant gliomas. Cancer. 1995;75(11):2727–31. DOI: https://doi.org/10.1002/1097-0142(19950601)75:11%3C2727::AID-CNCR2820751115%3E3.0.CO;2-H
    14. Hess KR. Extent of resection as a prognostic variable in the treatment of gliomas. J Neurooncol. 1999;42(3):227–31. DOI: https://doi.org/10.1023/A:1006118018770
    15. van Rijn J, Heimans JJ, van den Berg J, van der Valk P, Slotman BJ. Survival of human glioma cells treated with various combinations of temozolomide and X-rays. Int J Radiat Oncol Biol Phys. 2000;47(3):779–84. DOI: https://doi.org/10.1016/S0360-3016(99)00539-8
    16. Bauman GS, Gaspar LE, Fisher BJ, Halperin EC, Macdonald DR, Cairncross JG. A prospective study of short-course radiotherapy in poor prognosis glioblastoma multiforme. Int J Radiat Oncol Biol Phys. 1994;29(4):835–9. DOI: https://doi.org/10.1016/0360-3016(94)90573-8
    17. McGirt MJ, Mukherjee D, Chaichana KL, Than KD, Weingart JD, Quinones-Hinojosa A. Association of surgically acquired motor and language deficits on overall survival after resection of glioblastoma multiforme. Neurosurgery. septiembre de 2009;65(3):463–9; discussion 469-470. DOI: https://doi.org/10.1227/01.NEU.0000349763.42238.E9
    18. Liang H-K, Wang C-W, Tseng H-M, Huang C-Y, Lan K-H, Chen Y-H, et al. Preoperative prognostic neurologic index for glioblastoma patients receiving tumor resection. Ann Surg Oncol. noviembre de 2014;21(12):3992–8. DOI: https://doi.org/10.1245/s10434-014-3793-4
    19. Zhu Y, Zhu X, Wang S, Shen F, Shen H, Liu W. A multivariate analysis of the prognostic factors of grade III gliomas. Chin Med J. 2008;121(12):1072–5. Available at: https://insights.ovid.com/pubmed?pmid=18706219
    20. Lacroix M, Abi-Said D, Fourney DR, Gokaslan ZL, Shi W, DeMonte F, et al. A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival. J Neurosurg. 2001;95(2):190–8. DOI: https://doi.org/10.3171/jns.2001.95.2.0190
    21. Lovatón Espadín, Rolando Eladio. Sobrevida asociada a la resección quirúrgica de los gliomas de alto grado operados en el Departamento de Neurocirugía del Hospital Edgardo Rebagliati Martins en el periodo 2011-2012 [Bachelor Thesis]. [Lima]: Facultad de Medicina. Escuela de postgrado UNMSM; 2014. Available at: https://docplayer.es/15800822-Universidad-nacional-mayor-de-san-marcos.html
    22.Ahmadloo N, Kani A-A, Mohammadianpanah M, Nasrolahi H, Omidvari S, Mosalaei A, et al. Treatment outcome and prognostic factors of adult glioblastoma multiforme. J Egypt Natl Canc Inst. marzo de 2013;25(1):21–30. DOI: https://doi.org/10.1016/j.jnci.2012.11.001
    23. Chaichana K, Parker S, Olivi A, Quiñones-Hinojosa A. A proposed classification system that projects outcomes based on preoperative variables for adult patients with glioblastoma multiforme. J Neurosurg. 2010;112(5):997–1004. DOI: https://doi.org/10.3171/2009.9.JNS09805
    24.Laws ER, Parney IF, Huang W, Anderson F, Morris AM, Asher A, et al. Survival following surgery and prognostic factors for recently diagnosed malignant glioma: data from the Glioma Outcomes Project. J Neurosurg. 2003;99(3):467–73. DOI: https://doi.org/10.3171/2009.9.JNS09805
    25. Lamborn KR, Chang SM, Prados MD. Prognostic factors for survival of patients with glioblastoma: recursive partitioning analysis. Neuro-oncology. 2004;6(3):227–35. DOI: https://doi.org/10.1215/S1152851703000620
    26. Nuño M, Birch K, Mukherjee D, Sarmiento JM, Black KL, Patil CG. Survival and prognostic factors of anaplastic gliomas. Neurosurgery. 2013;73(3):458–65; quiz 465. DOI: https://doi.org/10.1227/01.neu.0000431477.02408.5e
    27. Akman F, Cooper RA, Sen M, Tanriver Y, Kentli S. Validation of the Medical Research Council and a newly developed prognostic index in patients with malignant glioma: how useful are prognostic indices in routine clinical practice? J Neurooncol. 2002;59(1):39–47. DOI: https://doi.org/10.1023/A:1016353614525

http://www.scielo.org.pe/scielo.php?script=sci_serial&pid=2223-2516&lng=en&nrm=iso


¿Quieres dejar tu comentario o sugerencia sobre este articulo?

--> CLICK AQUI <---