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Diseases of the century and their phytotherapy

Goroshetchenko, Clinical Research Center of the Russian Academy of Sciences, Chernogolovka, Moscow region, the Russian Federation

I. HISTORICAL REFERENCE

In the early 1970s, Karp A. Treskunov, a doctor-phytotherapist, and Vladimir A. Dubovitsky, a mathematician and programmer, created a computerized herbal therapy database (BPhD) at the Research Center of the Academy of Sciences (Chernogolovka, Moscow region, the USSR).

Initially, the database contained only information about patients’ symptoms, their intensity and herbal treatment results. The computer database administered non-selected kinetic parameters and life significance indicators (e.g. Untreated cancer – 100, common rhinitis – 5). The records also contained the information on the herbs taken and their concentrations. Only specific plants or individual compositions were prescribed; there were no standard tested collections. Herbal ointments were not used either. Tablet forms of herbal collections did not exist at that time. The data on patients contained their codes (IDs) only. Dates of birth, sex and other detailed patients’ information were absent. The collections were chosen individually, considering scanned literature and elementary knowledge of herbal healing. Phytotherapy had not been formed as a science yet. The data were stored on big hard disks and processed by the first Soviet electronic computer BESM-6. However, even then the scholars succeeded in obtaining a lot of valuable scientific data, for example, plant effects on symptoms, syndromes and diseases (2). The practical experience of those years (individual collections) is applied even now. Vladimir I. Vyrodov has continued enlarging this database since the beginning of the 1980s.ing of the 1980s.

After personal computers appeared, it became necessary to reorganize the database, expand the facts of gained experience and requirements of official health statistics. In 1989 Alexander V. Goroshetchenko, a senior associate of Cybernetics Institute of the Academy of Agricultural Sciences and a graduate of that institute started computerizing process in the sphere of herbal medicine. He has been leading the project to date. The statistical phytotherapy database has been increased from 725 up to 3600 computer medical cards (CMCPh). The amount of information on patients has considerably grown. The system functional capabilities have been also improved. The results of their phytotherapy research were published in more than 200 scientific articles and books in Russia, Germany and the USA. The main (most detailed) ones were issued in the collected articles of the conference in Richardson (USA) (3) and the conference in Chernogolovka (Russia) in 2000 (4). The indicated research is used both in practice (for computer selecting treatment options) and in theoretical studies (5).

Table 1 shows only main functions of the AWS system for a doctor-phytotherapist (AWS stands for automated work station), it is built basing on phytotherapeutical databases.

Table 1. The automated system functions used by a doctor-phytotherapist

Function

Short description

1

Filling in patient’s information

In practice, it is the maintenance of «Computer patient’s card», including some basic information about a patient, symptom descriptions and taken remedies (collections, ointments, tinctures, etc.)

2

Completing "Observations Diary"

During the treatment, the patient fills in a special form «Observations Diary». It allows tracking the herbal therapy process in its dynamics.

3

Reporting on patients

Obtaining different information about patients (diseases, dates of visits, prescriptions, ages, etc.)

4

Describing remedies prescribed

A brief description of herbs, collections, ointments, finished forms and tinctures

5

Reporting and reviewing «Typical Medical Records»

The formation and review of «Typical Medical Records». The review and analysis of the «Best» and the «Worst» medical records.

6

Scientific studies

Determining phytotherapy effectiveness considering diseases and age. Understanding time parameters (the processes dynamics). Summarizing data contained in the «Computer patient card» (allergies, hypo-/hypertension, men/women, etc.)

7

Astrological investigations

The analysis of a disease incidence and treatment efficiency depending on the patient’s date of birth. The analysis of herbal effectiveness for different Zodiac signs.

8

Statistical support

Input data on phytotherapy results (statistics)

9

Calculating «Computer prescriptions»

Selecting individual treatment variants, taking into account patient’s symptoms on the basis of:

  1. Charts of herbal effects on symptoms, syndromes and diseases
  2. Medical Records Archive
  3. The combination of computer and standard options for choosing a collection

10

Creating and reviewing «Efficiency charts»

The formation and review of charts showing the herbal effects on symptoms, syndromes and diseases, by allocation of independent groups: men, women, hypo-hypertension, acute/chronic diseases, etc.

11

Catalogue

Maintaining the Documentation Catalogue (books, magazines, CDs, etc.)

12

Record keeping

Maintaining the «Diary», accounting income and expense charges, ointments, materials, etc.

 

II. INTRODUCTION

Academician K.A.Treskunov’s school has been operating since 1964. It is supported by Doctor Karp A. Treskunov himself, Olga K. Shirokova, a certified Doctor of High Category and Natalia V. Komarova, a neurologist and phytotherapist. Alexander V. Goroshetchenko, a mathematician and programmer, provides phytotherapy database maintenance and scientific data processing. Besides, the school has plenty of followers and students, who use the knowledge obtained at this school in practice.

According to the Ministry of Health and Social Development (1), 2.3 million people died in Russia in 2006. The main causes of death were:

Table 2. Main causes of death in 2004 – 2006

No.

Disease

2004

2006

Growth

thousand people

%*

thousand people

%*

thousand people

%*

1

Cardiovascular

1282,9

55,8

1292,0

56,1

9,1

0,3

2

Accidents, poisoning, injuries

317,1

13,8

305,0

13,2

-12,1

-0,6

3

Neoplasms

289,4

12,6

287,0

12,4

-2,4

-0,2

4

Respiratory diseases

92,2

4,0

92,0

4,0

-0,2

0

5

Digestive diseases

84,4

3,7

92,0

4,0

7,6

0,3

6

Other diseases

No data

233,0

10,2

 

 

* - % columns (2004, 2006) contain the shares calculated from the total number of deaths.

The indicated diseases are quite common among their patients in the real school practice. According to the Computer phytotherapy database, the statistical number (BPhD. Statistics) of consulted patients (3600 in total) is distributed as follows.

Table 3. The total number of consulted patients

No.

Disease

Total

Sex

Pressure

Stage

Patients

Men

Women

n/a

Hyper

Hypo

Norm

Acute

Chronic

1

Cardiovascular

673

252

307

114

252

84

337

352

321

2

External causes

899

247

589

63

95

86

718

270

629

3

Malignant neoplasms

854

255

598

1

78

55

721

109

745

4

Respiratory diseases

616

160

344

112

91

60

465

289

325

5

Digestive diseases

1918

295

980

643

355

374

1189

1372

544

The study considered 10 to 15 dominant diseases of each type. Malignant neoplasms were evaluated not by specific kinds but by exposure types, i.e. untreated cancer, PT – phytotherapy, RS – surgery, CT- chemotherapy, RT – radiation therapy. The authors published the complete data on studies of each disease type both in books (5) and separate articles (3,4 and others).

The external causes in this study are: wounds, ulcers, thermal burns, cranial trauma (closed), toxicity, addiction, spinal traumas, spinal fractures, radiation burns, bone fractures and pathologies of broken bones.

III. PROBLEM STATEMENT

One of the main indicators used in the evidence-based medicine is survivorship. According to the World Health Organization, it is the leading indicator of the herbal medicine effectiveness. Our data are quite accurate, considering the people who disappeared. The Computer phytotherapy database stores timing parameters of "Medical Records" and allows determining survival parameters easily. It is worth clarifying the method of compiling survivorship tables. The number of deaths in each observation periodtion period (is added to the number of deaths in the previous periodous period (D-1). The number of oncopatients with an unknown treatment result is given only for a particular period of observation. So, the number of survivals in the period t (Surv t) is connected to the number of survivals in the previous period (Surv t-1) and can be expressed by:

(1) Surv t = Surv t-1 - (D + D-1) + the number of unknown results

At the same time, we have new calculation opportunities which could not be done before because of their complexity.

During the study process, we analyzed such parameters as statistic and dynamic phytotherapy efficiency and the rate of treatment.

Although the final description is of expert’s nature, and some data cannot have their quantitative evaluation, their main indicators are expressed in numbers (5). Moreover, the processed data were verified by statistical criteria (5) (Student's test, confidence limits, etc.).

The study considered the disease types indicated in Table 2.

We defined the following characteristics (individual, cumulative and average)

1. Statistic phytotherapy efficiency in case of one separate disease (type of disease), as

(2) Es = (PC + 0.7 * SI + 0.5 * CI – DE) / TOTAL,

where,

PC – the number of practically treated patients

SI – the number of patients with significant improvements

CI – the number of patients with some improvements

DE – the number of patients with the state deterioration

TOTAL – the number of patients with the disease

2. Dynamic phytotherapy efficiency in case of a separate symptom, syndrome or disease, as

(3) Ek = ((Wd – Wp)/Wd)/(Ts/Tl),

where,

Wd – the symptom severity before treatment (scaled 1-3)

Wp – the symptom severity after treatment (scaled 3-0)

Ts – the symptom duration (scaled 1-3: 3 months and more - chronic, from 1 to 3 months (2) - subacute, 1 month – acute)

Tl – the symptom treatment time (scaled 1-3, like Ts)

To perform the comparative calculation, the statistic and dynamic efficiencies are normalized and converted into percentage by the formula:

(4)Es' = Es*100

(5)Ek'= Ek*100/3

3. The phytotherapy speed is calculated as:

Where,

- PC and SI are the numbers of patients who were practically treated or had significant improvements after one (1), two (2) or three (3) months

- Nz is the total number of patient treated or improved (without patients with certain improvements or deteriorations, or unchanged conditions)

TOTAL – overall number of patients

IV. CALCULATION RESULTS

To calculate survival rates for oncopatients and make our statistics processing reliable, we identified four independent groups of patients (Table 4)

Group 1 – patients treated by phytotherapy (PT) together with radical surgery (RS), chemotherapy (CT) or/and radiation therapy (RT); there were 150 patients in this group (33% in the total number of patients).

Group 2 – patients treated by phytotherapy (PT) together with RS (radical surgery), but without CT or/and RT. There were 92 such patients (20%).

Group 3 – patients treated by phytotherapy (PT) together with CT or/and RT, but without RS. There were 127 of such patients (28% of the total number).

Group 4 - patients treated by phytotherapy (PT) without RS, CT, RT and so-called «refusers». There were 82 of such patients (19% of the total number).

Table 4 contains the data on oncopatients’ survivorship; the percentage of herbal therapy for all four groups is included. The study is based on the Computer database and was partly published in the journal «Practical Phytotherapy» (7)

Table 4. Summarized data on the treatment dynamics (survivorship) for different groups of oncopatients

Group No.

Total

Time of observation

Up to 1 year

1-3 years

3-5 years

Over 5 years

Survived

Died

N/A

Survived

Died

N/A

Survived

Died

N/A

Survived

Died

N/A

1

150

140

-

12

125

12

3

93

19

25

77

21

14

2

92

87

1

4

80

6

2

58

10

18

47

14

7

3

127

114

3

10

100

14

3

68

24

22

57

27

8

4

82

63

11

8

46

28

-

25

36

13

17

36

8

All groups:

451

404

15

34

351

60

8

244

89

78

198

98

37

Group No.

Total

Survivorship in percentage

Up to 1 year

1-3 years

3-5 years

Over 5 years

Survived

%

Survived

%

Survived

%

Survived

%

1

150

140

93

125

83

93

62

77

51

2

92

87

95

80

87

58

63

47

51

3

127

114

90

100

79

68

54

57

45

4

82

63

77

46

56

25

30

17

21

All groups:

451

404

90

351

78

244

54

198

44

The study «Survivorship» was conducted not only for the treatment types but also for some specific diseases. Table 5 contains the data on survivorship for the patients with PT together with RS, CT and RT, in separate classes of oncological diseases.

Table 5. The number of patients from Group 1: the treatment by herbal therapy in combination with RS, CT and RT

Oncology of

Up to 1 year

1-3 years

3-5 years

Over 5 years

Surv

Died

N/A

Surv

Died

N/A

Surv

Died

N/A

Surv

Died

N/A

Uterus, ovaries, adnexa

41

-

1

39

2

-

28

5

8

26

5

2

Breast

40

-

2

39

1

-

33

2

5

27

2

5

Melanoma

10

-

-

9

-

1

7

-

2

5

-

2

Stomach

5

-

-

2

3

-

3

2

-

-

3

-

Colon

10

-

3

10

-

-

8

-

2

6

-

2

Lungs

7

-

2

7

-

-

5

-

2

5

-

-

Liver (incl. Mt)

5

-

-

2

2

1

2

2

-

2

2

-

Kidney

3

-

-

3

-

-

2

-

1

2

-

-

Rectum

2

-

-

2

-

-

1

-

1

1

-

-

Prostate

3

-

-

2

1

-

1

2

-

-

3

-

Lymphogranulomatosis

2

-

-

2

-

-

2

-

-

1

-

1

Gallbladder

1

-

-

1

-

-

1

-

-

-

-

1

Brain

5

-

1

3

1

1

1

2

-

-

3

-

Femur osteosarcoma

2

-

-

2

-

-

2

-

-

2

-

-

Esophagus

3

-

-

2

1

-

2

1

-

-

2

-

Penis

1

-

-

1

-

-

1

-

-

-

1

-

Peritoneal carcinomatosis

-

-

1

-

-

-

-

-

-

-

-

-

TOTAL:

140

-

10

125

12

3

93

19

25

77

21

14

If we take the aggregated data on all the oncology diseases, around 31.6% of patients died or were in the critical condition by the end of the treatment (please compare with 55% of untreated patients and up to 80% with lymphogranulomatosis + CT+RT).

The calculated efficiency and rate of the «diseases of the century» are given without any separate illness details, which complicates the calculation

Table 6. Comparative parameters for the efficiency and rate of the «diseases of the century»

No

Group of diseases

Efficiency, %

Treatment duration, months

Average

Min

Max

Average

Min

Max

1

Cardiovascular

73,4

57

91

2,72

1,84

3,69

2

External causes

82,2

66

91

1,72

1,33

3,06

3

Malignant neoplasms

68,4

45

80

4,12

1,53

8,96

4

Respiratory diseases

70,3

54

89

2,81

1,41

4,00

5

Digestive diseases

75,9

60

87

2,54

1,91

3,10

As expected, the lowest treatment effectiveness and the maximal therapy duration are specific for malignant tumors; the highest efficiency and the minimum treatment time – for illnesses caused by external accidents: injuries, poisoning, fractures, etc. However, phytotherapy greatly improves cancer treatment results. The Russian Ministry of Health (1988) reported that more than 600 thousand people were diagnosed with an oncological illness annually and 39% of them died within 1 year. Compared to the data from the Ministry of Health, the efficiency of curing oncology with herbal medicine comprises 45 to 80 per cent, which is significantly better than the reported results.

It is interesting to compare the dynamic and statistic values of the phytotherapy efficiency for bronchial asthma, for example.

Table 7 represents the description of a typical herbal therapy pattern for bronchial asthma (computerized data). It also includes the values of the dynamic efficiency (symptom range and average)

Table 7. Typical «Medical Record». Bronchial asthma. Men (92 patients)

Symptom, syndrome, ailment

Number of patients

Ts

Wd

Wp

Tl

Ek

Cough

92

2,91

2,57

0,26

1,72

50,79

Bronchospasm

82

2,90

2,80

0,20

1,63

55,09

Reduced quality of life

70

2,89

2,66

0,23

1,74

50,44

Suffocation

68

2,88

2,74

0,15

1,53

59,44

Shortness of breath

60

2,87

2,73

0,13

1,63

55,65

Allergy reactions

60

2,87

2,63

0,37

1,80

45,69

Chronic bronchitis

52

2,85

2,54

0,31

1,81

46,12

Dry whistling wheeze

18

3,00

2,50

0,33

1,78

48,75

 

 

 

 

 

 

51,50

List of Literature:

1. «Codex of health and longevity. Older age group» (group of authors), «Medicine», Мoscow, 2006.

2. Treskunov K.A., Dubovitsky V.A. Use of quantitative methods and computers in the fourth phase of the clinical plants study // Abstracts from the All-Union Conference: Actual problems of assessing chemical compounds pharmacological activity. Medical Manufacture publishing house, Moscow, 1981, p. 57-58.

3. Goroshetchenko A.V., Treskunov K.A. and Martirosyan D.M. Cardiovascular Disease Phytotherapy: Informational Aspect. // Functional Foods for Cardiovascular Diseases. D&A Inc., 2005, p. 114-130.p. 114-130

4. Goroshetchenko A.V. Phytotherapy of Bronchopulmonary Diseases. Informational Aspect.// Scientific conference materials: Phytotherapy, laser therapy, biologically active substances of natural origin (BAVEP) in the XXI century. Chernogolovka (RF), December 5-6, 2000. ogolovka (RF)

5. Treskunov K.A. Phytotherapist’s Notes, parts 1- 4. Demiurg-Art, Moscow, 2002-2006.

6. Sergienko V.I., Bondareva I.B. Mathematical Statistics in Clinical Trials. GEOTAR-MED, Moscow, 2001.

7. Treskunov K.A., Treskunova O.K., Komarov B.A., Goroshetchenko A.V., Pilipenko I.I. and Glebov V.I. Medicinal Plants and Chitosan Therapy in Oncology: Long-Term Results.

8. Practical phytotherapy. #3 2003.