| STATISTICAL TECHNIQUES OF APPLICATION TO THE RESULTS. CONCLUSIONS Analyzing the possibility of being able to carry out an put-analysis regarding the consumption of beer and its effects on the human health, implies a new selection of the 234 references.
- Second selection
In order to realize this second selection is continued using the criteria of selection previously indicated. In this case it is come to exclude 23 works, that represent a 9.8% almost (table 3) because either they turn on investigations realized in experimentation animal or will talk about methodology (standard drink unit)
|
Table 3. - Articles excluded in the second selection. Reasons for exclusion |
|
Reason for exclusion |
Number |
% |
|
Investigation animal experimentation |
21 |
9,01 |
|
Methodology (standard drink unit) |
2 |
0,86 |
|
Excluded |
23 |
9,87 |
After this second selection publication references are included in estudio210. The following step consists of asking for primary documents, that is to say complete articles regarding these references. These articles are characterized to present/display a great heterogeneity, and although in them problems of health and consumption of beer are approached, is necessary again to exclude a total of 162 articles, almost a 77.32%, due to the following reasons:
- Ecological studies that do not allow to release the data
- Investigations that lack control group
- “With regard to a case”
- Hiponatremias, relation with IMC (Index of Corporal Mass), deficit of Faith, etc. very diverse Investigations to each other and with different objectives that do not allow to draw global conclusions
- Consumption and immunology
- Relation of the consumption beer/alcohol with the behavior landlords
- Consumption of diverse types of alcohol, but released nonbeer
Systematic revision
The 48 selected articles, (22.86%) study more in detail and from the first moment it is shown that exists, taking care of the dependant variable or effect derived from the beer consumption, two dominant approaches in this type of investigations, that are, on the one hand the cardiovascular processes as as much cerebrovascular, and on the other hand the cancer.
An additional problem arises when, after realizing numerous claims we did not obtain that they send 24 articles to us (mainly regarding cancer and some to cardiovascular) reason why we are ourselves forced to continue only with the 24 articles on which we counted at this moment.
Table 4 shows the distribution of 24 analyzed articles and it is possible to be observed that practically 80% were original data and of them the greater percentage corresponds to effects on the morbidity/mortality by cardiovascular processes (47%), followed of the relation with diverse tumorlike processes (32%) and finally other effects (21%)
|
Number |
Type of publication |
% |
|
19 |
Original articles |
79,16 |
|
9
6
4 |
ECV
Cancer
Others
|
47,4
31,6
21,6
|
|
5 |
Revisions |
20,83 |
|
3
1
1 |
E.C.V
Cancer
Estrogens
|
60
20
20
|
| Table 4. Articles initially selected |
21% that there are including in the section of others correspond to 4 original articles that analyze the effect of the beer on the risk of maculopatía, the risk of hip fracture, the risks derived from the alcohol consumption generally and the beer in particular and a cross-sectional study that analyzes the relation with the subjective health respectively.
As far as revisions only one of them approach did not have relation with dominant them before mentioned, since it approaches the effect of the moderate alcohol consumption and the estrogen levels.
Systematic and quantitative revision
In view of the mentioned thing it is decided to continue from two perspective that they have as objective common to realize “a priori” a systematic and quantitative revision of the effects of the beer consumption:
- On morbidity/mortality by ECV
- On morbidity/mortality by Cancer
Next the results referred to these two revisions are exposed.
I. CONSUMPTION OF BEER AND MORBI/MORTALIDAD IN THE CARDIOVASCULAR DISEASE (E.C.V.)  Articles
- 1. - Mennen Li, Balkau B, Bowl S, Cacés and, Eschwége E (DESIR study group) Fibrinogen To possible Link between cardiovascular alcohol consumption and disease? Arterioscler Thromb Vasc Biol. 1999; 887-892
- 2. - Truelsen T, Gronbaek M, Schonohr P, Boysen G. Intake of to beer, to beer, wine and spirits and risk of stroke. The Copenhagen City heart study. Stroke. 1998; 29:2467 - 2472
- 3. - Wannamethee SG, Shaper Ag. Major Type of alcoholic drink and risk of coronary heart disease events and all-causes mortality. A.m. J Public Health. 1999; 89:685 - 690
- 4. - Gaziano JM, Hennekens CH, Godfried SL, Sesso HD, Glynn RJ, Breslow JL, Buring JE. Type of alcoholics beverage and risk of myocardial infarction. A.m. J Cardiol .1999; 83:52 - 57
- 5. - Hoffmeister H, Schelp FP, Mensink GBM, Dietz and, Böhning. The realtionship between alcohol consumption, health indicators and mortaly in the Germa'n population. Intern J Epidemiol. 1999; 28: 1066-1072
- 6. - Bobak M, Skodova Z, Marmot M. Effect of to beer drinking on risk of myocardial infarction: population based marry-control study. BMJ. 2000; 320: 1378-9
- 7. - Gronback M, You give to, Sorensen AUNT, Becker Or, Schnohr P, Jensen G, Mortality associated with moderate intakes of wine, to beer or spirits. BMJ 1995; 310: 1165-1169
- 8. - Renaud SC, Gueguen R, Siest G, Salamon R. Wine, to beer, and mortality in middle-aged men from eastern France. Arch Intern Med 1999;159: 1865-70
- 9. - Gronbaek M, Tjonneland To, Johansen D, Stripp C, Overvad K. Type of alcohol and drinking pattern in 56,970 Danish men and women. Eur J Clin Nutr. 2000; 54:174 - 76
RESULTS
In Table 5 the characteristics of these nine articles are detailed in which we observed the great variability of the same, from the years in which the data, the difference as far as age and sex of the studied subjects take shelter, the used design and mainly the differences as far as variables independent and dependant.
These LIMITATIONS are the following:
Dependant variable. It is contemplated:
- ECV in a case Any ECV except Apoplexy (3)
- Mortality by Coronary ECV and
Independent variable: Consumption of beer, generally bottles day, but the grams of alcohol vary in the different cases, from 8 or 10 g to the 18 g
Reference level: The “drinkers of beer” are not always teetotallers, can consume other types of alcohol. This can give rise to a slant of bad classification.
Factors of confusion: They can be many and very varied, from consumption of tobacco, basic diseases, lipidic landlords….
Design of the study: In its great majority they are cohorte studies. There is one of cases and controls. In Table 6 are those studies of which it was possible to be extracted the data to try to calculate “a global” effect.
It is to stand out that the study of Bobak and cabbages is of cases and controls and the one of Gronback of 1995 talks about to the same cohorte studied by Truelsen in 1998. The last mentioned study is only included since it talks about morbidity.
Next they are to the obtained results when analyzing the combination of the data before mentioned with program META-ANALYST, using the method of fixed effects of PETO.
In the first place the analysis of the three studies of Cohorte is realized, and we can see that the global effect obtained to combine the populations coming from the three studies (cohorte of 34,345 subjects) is a OR of 0.89 (0,81-0,97) that less indicates that the not exposed cohorte of exposed ill than the one of, but c 2 of heterogeneity is significant, which indicates to us that they are heterogenous studies and that therefore they are not due to combine. (1. Analysis cohortes). The graphical representation sample of expressive form the obtained global OR.
Later it was come to analyze the four studies, the three of previous cohortes and the one of cases and controls, in this case the global OR is very similar to obtained previously the 0.87 (0,80-0,95), heterogeneity c 2 is significant also in this case since now the degrees of freedom are three since 4 studies are combined. (2. Analysis cohortes and cases and controls)
In this graphical representation the smaller precision of the study of cases and controls is observed of evident form (its ampler limits of confidence)
- ANALISIS-COMBINACIÓN OF COHORTE STUDIES
|
Put: fixed effects model (Peto) |
|
|
|
|
Experiment |
Control |
Odds |
95% CI |
|
| Nº |
Study |
Year |
Obs |
Tot |
Obs |
Tot |
Ratio |
low |
high |
Z |
| 1 |
Truelsen |
1998 |
547 |
8610 |
286 |
4718 |
1.05 |
0.91 |
1.22 |
0.66 |
| 2 |
Wannamethee |
1999 |
497 |
4101 |
404 |
2759 |
0.80 |
0.69 |
0.92 |
-3.03 |
| 3 |
Renaud |
1999 |
364 |
10139 |
178 |
4018 |
0.80 |
0.66 |
0.96 |
-2.34 |
| |
Total pts = |
34345 |
1408 |
22850 |
868 |
11495 |
0.89 |
0.81 |
0.97 |
|
|
For Chi-square heterogeneity = 8.3086 |
2 degrees of freedom |
- ANALISIS-COMBINACIÓN OF STUDIES OF COHORTE AND CASOS/CONTROLES
|
Put: fixed effects model (Peto) |
|
|
|
|
|
Experiment |
Control |
Odds |
95% CI |
|
| Nº |
Study |
Year |
Obs |
Tot |
Obs |
Tot |
Ratio |
low |
high |
Z |
| 1 |
Truelsen |
1998 |
547 |
8610 |
286 |
4718 |
1.05 |
0.91 |
1.22 |
0.66 |
| 2 |
Wannamethee |
1999 |
497 |
4101 |
404 |
2759 |
0.80 |
0.69 |
0.92 |
-3.03 |
| 3 |
Renaud |
1999 |
364 |
10139 |
178 |
4018 |
0.80 |
0.66 |
0.96 |
-2.34 |
| 4 |
Bobak |
2000 |
169 |
839 |
30 |
93 |
0.49 |
0.29 |
0.82 |
-2.70 |
| |
Total pts = |
35277 |
1577 |
23689 |
898 |
11588 |
0.87 |
0.80 |
0.95 |
|
|
For Chi-square heterogeneity = 13.2330 |
3 degrees of freedom |
Conclusions of the retrospective put-analysis
One concludes that the moderate alcohol consumption is related to a smaller risk of E.C since the alcohol induces to changes in lipidic and hemostatic factors.
II CONSUMPTION OF BEER AND CANCER Articles
- 1. - Gronbaek M, Becker Or, Johansen D, Tonnesen H, Jensen G, Sorensen AUNT. Population based cohort study of the association between alcohol intake and cancer of to upper disgestive trat. BMJ. 1998; 317: 844-848
- 2. - Woodson K, Albanian D, Tangrea JA, Rautalahti M, Virtamo J, Taylor PR. Association and between alcohol lung cancer in the alpha-tocopherol, beta-carotene cancer prevention study in Finland. Cancer Causes & Control 1999; 10: 219-226
- 3. - Schuurman Ag, Goldbohm RA, goes to der Brandt PA. To prospective cohort study on consumption of alcoholics beverages in relation to prostate cancer incidence. (The Netherlands). Cancer Causes & Control 1999; 10: 597-605
- 4. - Prescott and, Grobaek M, Becker Or, Sorensen AUNT. Alcohol intake and risk of lung cancer: tipe of alcoholic beverage. A.m. J Epidemiol 1999; 149: 463-70
- 5. - Zhang and, Kreger SEES, Dorgan JF, Splansky GL, Cuppels, Ellison RC. Alcohol consumption and risk of breast cancer: the Framingham Study. A.m. J Epidemiol. 1999; 149: 93-101
- 6. - Pohlabeln H, Jöckel KH, Bolm-Audorff U. Non-occupational risk factors for cancer of to lower urinary tract in Germany. Eur J Epidemiol. 1999; 15: 411-419
- 7. - Gronbaek M, Tjonneland To, Johansen D, Stripp C, Overvad K. Type of alcohol and drinking pattern in 56,970 Danish men and women. Eur J Clin Nutr. 2000; 54:174 - 76
Revision
1. - Dennis LK. For Put combining relative risk of alcohol consumption and prostate cancer. The prostate. 2000; 42: 56-66
A total of 8 articles has been reviewed systematically in which the dependant variable is a tumorlike process. The design of 8 publications is very heterogenous:
- 5 Studies of prospective cohortes
- 1 Study of cases and controls nested
- 1 Study of cases and controls compared
- 1 Put-analysis
In Table 7 the most excellent data of the different studies have been reflected.
Results We think that the data of the possible studies referred by different limitations cannot be combined:
- The dependant variable is not the same in all:
- 2 study prostate cancer (2/8)
- 2 study lung cancer (2/8)
- 1 studies breast cancer (1/8)
- 1 studies cancer of digestive tract superior (1/8)
- 1 studies cancer of urinary tract (1/8)
- 1 studies mortality by cancer generally
- The independent variable (alcohol consumption - beer) is related to the tobacco consumption closely, being therefore a variable to control in the analysis, fact that on the other hand, cannot be realized in a metanálisis, because they do not detach the data to me based on this consumption.
- Another fact that could influence in the effect of the beer in the health is that until 1990 the beer that was consumed in Europe and the USA had a level of 2 to 10 ms g/l of nitrosaminas, whereas at the moment the concentration to handicapped to the 0.4 m g/l.
- The reviewed studies are heterogenous as far as the group of not exposed to the beer consumption, since studies consider only to the teetotallers, whereas others combine teetotallers with nondrinkers of beer but of wine or espiritosas drinks.
CONCLUSIONS Cardiovascular disease.
Of all regarding original articles, it is deduced that:
- In the majority of the studies the beer consumption acts like a protection factor since the exposed ones (consuming) become ill less than not exposed, said this with the maximum caution by the methodologic limitations before mentioned
- In view of these results he would be very advisable to determine the effects of the consumption of beer in the Spanish population
- With respect to the revisions:
- In this case also the data aim at the character of protection factor of the beer consumption which comes to result in the necessity, aimed previously, to quantify the effect of the moderate consumption of beer in the Spanish population.
- We have to mention that the applied techniques have not allowed us to follow you rule characteristic basic of any put-analysis, between which they emphasize as we said in the introduction to realize a specific exhaustive search these processes and to establish an a priori protocol of quality, evaluating the same of individual articles.
For this reason, a commentary can be done final saying that he would be of great interest to resolve these questions and to carry out a work that to confir to me of a prospective form that the beer consumption can act like a cardiovascular protection factor.
|