Qigong can be described as a mind-body-spirit practice that improves one’s mental and physical health by integrating posture, movement, breathing technique, self-massage, sound, and focused intent. But does it really improve health?
The purpose of this review was to evaluate the effectiveness of Qigong in improving the quality of life and relieving fatigue, sleep disturbance, and cancer-related emotional disturbances (distress, depression, and anxiety) in women with breast cancer.
The PubMed, Cochrane Central Register of Controlled Trials, Web of Science, Sinomed, Wanfang, VIP, and China National Knowledge Infrastructure databases were searched from their inceptions to March 2020 for controlled clinical trials. Two reviewers selected relevant trials that assessed the benefit of Qigong for breast cancer patients independently. A methodological quality assessment was conducted according to the criteria of the 12 Cochrane Back Review Group for risk of bias independently. A meta-analysis was performed using Review Manager 5.3.
A total of 17 trials were found in which 1236 cases were enrolled. The quality of the included trials was generally low, as only 5 of them were rated high quality. 14 studies were conducted in China. The types of qigong included Baduanjin Qigong (9 trials), Chan-Chuang Qigong (1 trial), Goulin New Qigong (2 Trials), Tai Chi Qigong (2 Trials), and Kuala Lumpur Qigong (1 trial). The course of qigong ranged from 21 days to more than 6 months. Four trials compared qigong to no treatment, one sham Qigong, seven compared to other types of exercise, and 6 to usual care.
The results showed significant positive effects of Qigong on quality of life (n = 950, standardized mean difference (SMD), 0.65, 95 % confidence interval (CI) 0.23–1.08, P = 0.002). Depression (n = 540, SMD = −0.32, 95 % CI −0.59 to −0.04, P = 0.02) and anxiety (n = 439, SMD = −0.71, 95 % CI −1.32 to −0.10, P = 0.02) were also significantly relieved in the Qigong group. There was no significant benefit on fatigue (n = 401, SMD = −0.32, 95 % CI 0.71 to 0.07, P = 0.11) or sleep disturbance relief compared to that observed in the control group (n = 298, SMD = −0.11, 95 % CI 0.74 to 0.52, P = 0.73).
The authors concluded that this review shows that Qigong is beneficial for improving quality of life and relieving depression and anxiety; thus, Qigong should be encouraged in women with breast cancer.
No, this review does not show that Qigong is beneficial for improving quality of life and relieving depression and anxiety!
- Most primary studies were of very poor quality.
- Most were from China, and we know (and have often discussed) that such trials are most unreliable.
- No trial even attempted to control for placebo effects.
A better conclusion would therefore be something like this:
Even though most trials conclude positively, the value of Qigong can, for a range of reasons, not be determined on the basis of the evidence available to date.
On 7/10/2020, I discussed a study suggesting that homeopathy improves the quality of life and survival of cancer patients. Now, these data have been carefully scrutinized by a group of members of the „INH“ and „Initiative für Wissenschaftliche Medizin“.
By guest bloggers Norbert Aust and Viktor Weisshäupl
The first impression of the results of the study on the adjunctive homeopathic treatment of patients with non-small cell lung cancer (NSCLC) is that of a seemingly rigorous trial with valid results. But a more thorough review yields different insights:
- The methods and definitions were pre-determined in a protocol and seem to have been maintained up to the end. But the date given in the document pointing at some point in time before enrollment began is wrong and misleading: This protocol was first published by uploading it to the register only two months after data assessment was completed with outcomes presumably available.
- The data initially saved to the register are not in agreement with the information given in the published paper: important definitions were subjected to considerable modifications while the study was underway. None of these modifications are mentioned in the paper, neither a rationale nor a comment of their impact on the results was provided.
- Some of the modifications with presumably heavy impact on the results were introduced with the upload of the protocol only, that is two months after data collection was completed. These were (a) a massive extension of the exclusion criteria: the number increased from 1 during initial registration to 20 in the final paper. and (b) an equally massive reduction of the follow-up time for the primary endpoint from two years to 18 weeks.
- The paper discloses no reason why the additional exclusion criteria were introduced. Their selection seems arbitrary without any apparent necessity arising from the trial itself.
- The patients who did not meet the added criteria and were thus excluded are not mentioned in the publication. The CONSORT flow chart does not give information either of their number or of the point in time when they were excluded.
- The survival curves of the placebo and verum groups show some aspects that arise if the inter-group difference was due to the exclusion of unfavorable data.
- It is hard to imagine that, in this trial, the homeopathic preparations had strong effects on the patients’ health, while other rigorous studies or systematic reviews failed to notice such effects.
Altogether, it seems much more plausible to assume that the positive results were achieved by post hoc data manipulation, namely by omitting patients with unfavorable outcomes, than by rigorous and valid science. A retraction of the paper seems the only appropriate measure to avoid misleading the public.
Due to its outstanding results, the study about adjunct homeopathic treatment of non-small cell lung cancer patients was met among homeopaths with enthusiasm. However, in this article, we will show that the enthusiasm is unjustified because the results may not be based on a rigorous trial meeting established scientific criteria. Crucial definitions were modified, while the study was underway or even after data collection was completed. It stands to reason that this introduced bias in favor of homeopathy.
For this analysis, we considered the following sources of information :
- the text of the published paper (link)
- the data that were uploaded during registration (link)
- the history of changes of the registered data (link)
- the study protocol included in the registration (link)
As all of this information is readily available on the internet, it is easy to double-check our findings and verify our statements. We also submitted a letter to the editor of the Oncologist, the journal where the paper was published which has not yet been published (status 06-06-2021).
At first glance, the study meets the requirements for reliable evidence.
- There is a study protocol dated January 11, 2011, well before recruiting of participants started. It provides definitions that were used until the end.
- The study was registered at ClinicalTrials.gov before recruiting started.
- The methods of randomization and blinding are suitable to meet the requirements for a low risk of bias rating.
- The presentation of the paper follows the principles set out in the CONSORT-Statement.
- The paper was published in a peer-reviewed journal of some reputation.
The study yielded formidable results in favor of homeopathy: In the group that received the adjunctive homeopathic treatment, the quality of life improved continuously throughout the follow-up time, while the patients in the placebo group deteriorated. In addition, the median survival time was only about two-thirds compared to the patients in the homeopathy group. However, the impression of a valid study does not stand up to closer scrutiny when the history of changes is taken into account.
Changes in study parameters
Between the initial registration and data upload in January 2012 (Link), shortly before recruiting started in February 2012, and the publication in October 2020, multiple changes in essential study parameters occurred:
|Registration January 2012||Publication October 2020|
|Number of participants||600||150|
|Number of study arms||2||3|
|Number of exclusion criteria||1||20|
|Follow-up time for Quality of life||104 weeks (*)||18 weeks|
|Number of cancer types||3||1|
|(*) Derived from “Time Frame: 7 Years” minus the recruitment period of 5 years.|
Note the drastic reduction in the follow-up time for quality of life by more than 80 % which was defined as the primary endpoint. Furthermore, note the substantial increase in the number of exclusion criteria. Both issues will be discussed in more detail below.
In contrast to the requirements for a rigorous and valid trial, these modifications are not mentioned in the published paper, and no rationale is given as to why they became necessary. As a consequence, the authors do not discuss the possible impact these modifications may have had on the results.
The study protocol
A study protocol is available in the registration database. It was first uploaded on September 18, 2019, about two months after the end of data collection in July 2019 (Link). The document itself is dated January 11, 2011, which would place it about a year before the study was registered. However, this date is obviously wrong: there are substantial discrepancies between the parameters specified in the protocol and the data provided one year later during initial registration:
|Protocol, allegedly January 2011||Registration January 2012|
|Number of participants||300||600|
|Number of study arms||3||2|
|Number of exclusion criteria||9||1|
|Follow-up time for Quality of life||18 weeks||104 weeks (*)|
|Number of cancer types||1||3|
|(*) Derived from “Time Frame: 7 Years” minus the recruitment period of 5 years.|
We see no sensible explanation why the parameters given in the study protocol allegedly compiled in January 2011 are in line with the publication nine years later, but not with the registration only one year after the protocol was compiled. The only sensible conclusion seems to be that this protocol was not completed on the date indicated, but at a much later point in time, maybe just shortly before its upload (September 2019). This impression is corroborated by the information presented in the document that was not available on the date given: On page 10 the software package used in data analysis is referenced as “IBM SPSS statistics 25.0” while, at the beginning of 2011, when the protocol was allegedly compiled, the current version number of this package was 19 only.
A second clue: Also on page 10 there is a reference “(EORTC-QLQ-C30 remaining dimensions; SF-36; subjective well-being)25.” with the number 25 indicating some reference. And some references that is, but not in the protocol – this does not have any references – but in the published paper, where the 25 indicates a paper on the SF-36 questionnaire. So it stands to reason that the number in the protocol originates from some messed up copy and paste procedure from the draft of the paper. Which would indicate that the paper and the protocol were at least partially developed in parallel.
It seems therefore reasonable to assume, that the protocol was finished only shortly before it being uploaded in September 2019, that is two months after data collection was completed.
However, the obviously inaccurate date given in the protocol supports the impression that the study parameters were set a year before the study began and were consistently maintained during the course of the trial, which is not the case, as the above tables show.
Change in exclusion criteria
The initial registration data list pregnancy as the only exclusion criterion. But with the upload of the protocol, which took place two months after data collection was completed, the number of exclusion criteria was increased to nine, only to be enlarged once again in the final publication to the final number of twenty. It is beyond any doubt that at least the final increase of eleven criteria took place after the data collected from the patients were available. But all this is neither disclosed in the final paper nor is there any rationale given for this action.
The patients excluded by the additional criteria never appear anywhere, they are not included in the CONSORT-flow-chart, Fig 3 in the study. It is obvious that some patients were excluded: What was the reason to define such an abundance of criteria, if they were not to be applied? As a consequence, the CONSORT diagram seems to be incomplete which would be in violation of the CONSORT statement.
Thus, an unknown number of patients seems to have been excluded from the study by criteria defined at a time after data collection was completed with outcomes available. After all, eleven of the exclusion criteria were established even after the protocol had been uploaded, at least those were established well after the patients’ results were available.
This raises the question of why these exclusion criteria were introduced. One would assume that an intervention to treat stage III and stage IV lung cancer patients should be effective under the conditions that are usually present in such patients. One would expect that patients somewhat advanced in age, like in this study, usually suffer from some health problems, regardless of their cancer condition. What is the sense of excluding patients with hematological, hepatic, or renal pathology, with coronary heart disease or rheumatism? Homeopathy is claimed to be able to treat comorbidities based on the assessment of symptoms independent of what disease they belong to. And this apparently was the idea at the start of the trial where only pregnancy was specified as an exclusion criterion, while it was understood that elderly patients to be enrolled in the study would suffer from some additional medical problems.
On the other hand, not all health conditions that are associated with advanced age were excluded. Diabetes, hypertension, gastrointestinal diseases, or COPD were no reason to exclude any patient from participation. Only very few of the criteria are somewhat self-explanatory as to why they were defined as exclusion criteria, e.g. if a patient was unwilling to give her informed consent.
Altogether, the assumption seems reasonable that more patients had participated in the trial than accounted for in the publication, and that an unknown number of them were excluded according to criteria that were not present until after data collection was completed. If so, a substantial bias was introduced.
Median survival time
Here, we will focus on the comparison between the homeopathy and placebo groups and leave aside the third group not receiving any additional treatment at all.
If the favorable result in survival really was established by dropping unfavorable data, this might be recognized in some characteristics of the survival curves. Therefore, we modeled this situation starting with two random distributions somewhat tweaked to resemble the typical shape of natural survival functions.
This graph shows the two distributions (n = 80) defined in the range of 0 to 200 as thin lines. Both are very similar to each other with median survival at 27 weeks. If 15 of the 20 patients with the shortest survival are dropped from the thin blue line this would result in the solid blue line (“Hom”). If, on the other hand, 15 out of 20 patients with the longest survival are dropped from the other distribution this would yield the solid red line (“Plac”).
The new functions show some characteristic properties:
- In the red line, median survival drops by 8 weeks to 19 weeks.
- In the blue line median survival rises by 12 Weeks to 39 weeks.
- The difference between the two functions arises from of the first 12 weeks alone. With the blue line, 8 people died, with the red line 23 people died during the first 12 weeks. After week 12 up to week 80, the same number of fatalities occur in both groups (blue: 36, red: 37).
After week 80, the two functions start to converge, which is due to the fact that at some future point all the patients of both groups will be dead. The survival functions that are reported in the study show the same characteristics.
Assuming that homeopathy did not have any effect, both groups should show more or less identical survival functions. In the paper 10.1 months = 303 days is cited from literature as to be expected under conventional care, maybe with some margin to the better because the data that yielded this value of 10.1 months were more than six years old at the time of the trial. The survival functions allegedly found in the trial show:
- Median survival time with the placebo group is reduced by 46 days compared to conventional care alone.
- Median survival time with the homeopathy group is increased by 132 days compared to conventional care alone.
- The advantage of homeopathy arises within the first 9 weeks alone, where only two patients died (out of 51) in the homeopathy group compared to 11 (out of 47) in the placebo group. After this initial phase, the groups developed in parallel: By the end of the two-year follow-up time an additional 26 patients died with homeopathy, and about the same, namely 25 patients died with placebo.
The inevitable convergence of both functions apparently started outside the two-year follow-up. In other words, the survival functions given in the study for placebo and homeopathy treatments show characteristics that match what you would be expected, if two very similar functions were manipulated by dropping unwanted results, i.e. “good” survival data from placebo and “bad” survival data from homeopathy functions. After week 9, the two functions develop parallel to each other, indicating a lack of effect of homeopathy even though the treatment continued until the death of the patient or the end of the study. However, with ongoing effective treatment, the functions should continue to diverge. It seems implausible that homeopathy should be effective on a short time basis only, with a sudden complete loss of effectiveness later on.
Reduction of observation time
Quality of life was defined as the primary endpoint. On initial registration, it was specified that patients should be observed for the entire seven-year duration of the study which, allowing for the recruitment period of five years, results in a follow-up time of two years or 104 weeks for each individual patient. According to the information provided in the study, this was indeed done: “Patients were followed up every nine weeks until death” (or until the end of the study, of course), and questionnaires were completed to determine the quality of life.
The reduction of follow-up time from 104 to 18 weeks was first introduced when the protocol was uploaded. So it is obvious that this substantial reduction occurred after data collection was completed and that data from more than 80 % of the originally defined follow-up were omitted.
Incomplete outcome reporting, especially when a larger scope was defined at the beginning of the study, is considered a source of substantial bias and a major shortcoming in clinical trials: Maybe patients initially experienced an improvement in their quality of life due to whatever effect – but what were the results after this initial phase? Why were they omitted? Perhaps because they got worse than in the placebo group? The long-term development would have been a vital aspect for the evaluation of efficacy – and the study originally was designed to evaluate such long-term effects. Yet, the authors’ conclusions on the quality of life – notably: the primary outcome criterion – are based on less than 20 % of the follow-up in which a positive effect may have occurred due to bias or by chance. To extrapolate from this short time to the total period is not justified and may be misleading. A detailed review of the quality of life results is meaningless: they do not disclose any long-term effects and they are subject to bias caused by the post hoc exclusion of patients anyway.
The overall evidence on the effectiveness of homeopathy is not encouraging. The quintessence of all systematic reviews that have looked at homeopathy as a whole is that some marginal effect may be found, if all studies are included in the review, regardless of their quality. But this result is questionable due to the generally low quality of the primary studies (Link, in German). However, when quality is taken into account, the systematic reviews do not produce robust evidence for any positive effect beyond placebo. In addition, no review could identify a single condition in which homeopathy is of well-established therapeutic benefit.
This study on NSCLC contradicts the long-established and often-confirmed evidence. During the follow-up time for the patients who actually received the prescribed homeopathic preparations, the quality of life improved steadily in all subscales – even down to the patients’ financial situation – whereas the opposite was observed in the placebo patients. In addition, the mean survival time was about two-thirds longer for the homeopathy patients than for the placebo group.
After 200 years of clinical research into homeopathy, it seems unlikely that such a powerful effect of homeopathy should not have been noticed before. Another scenario seems to be much more plausible:
- The survival times of the placebo group were worse than the data from the literature. This could be due to the fact that patients with relatively good outcomes were excluded by the introduction of additional exclusion criteria.
- The survival times of the homeopathy group were considerably better than expected. This could also be due to the additional exclusion criteria, in that patients with poor outcomes were excluded retrospectively.
- The long time frame where the survival functions run in parallel from week 9 onwards until the end of the two years observation period indicates the lack of effect of the homeopathic treatment. The advantage occurring in the first nine weeks alone seems to be the result of unwanted data being dropped.
- In the case of quality of life (after all, not a “hard” criterion, but based on information from the patients ), the advantage in survival would have initially created a positive effect for the homeopathy group. Then, reporting was discontinued, once the initial positive effects presumably caused by the selective omission of patients had ended.
In conclusion, it seems likely that the substantial modifications of crucial study parameters that occurred after the study had been started and results had become available biased the results in favor of homeopathy. Therefore, this study does not meet strict scientific standards that were established to exclude any confounding factors or biases. If our analysis is correct, the results of this study are invalid, and the authors’ conclusions are not justified. Retraction of this study seems to be appropriate.
Reference Frass M, Lechleitner P, Gründling C et al. Homeopathic Treatment as an Add-On Therapy May Improve Quality of Life and Prolong Survival in Patients with Non-Small Cell Lung Cancer: A Prospective, Randomized, Placebo-Controlled, Double-Blind, Three-Arm, Multicenter Study. The Oncologist 2020;25:e1930–e1955 https://theoncologist.onlinelibrary.wiley.com/doi/epdf/10.1002/onco.13548
The Higher Administrative Court of Bremen has rejected as inadmissible the application for a judicial review by a Bremen physician against the deletion of the ‘HOMEOPATHY’-title from the further training regulations of the Bremen Medical Association (decision of June 2, 2021). Thus, the new regulation for postgraduate training of the Bremen Medical Association without the additional designation of homeopathy has been upheld.
“We are very pleased that the Court shares our legal opinion and has rejected the plaintiff’s application,” said Heike Delbanco, Chief Executive Officer of the Bremen Medical Association. “This is also a clear signal for other German medical associations where comparable lawsuits against the removal of homeopathy from the canon of additional designations are pending.”
The Assembly of Delegates of the Medical Association had decided in September 2019 on a new training regulation, which – unlike the previous regulation – no longer provided for the postgraduate training in homeopathy. After the expiry of a transitional period, the qualification of homeopathy can therefore no longer be acquired at the Bremen Medical Association; however, titles already acquired can continue to be held.
A physician from Bremen, who holds the title of homeopathy, brought an action before the Higher Administrative Court against the cancellation of the additional title. He claimed that the removal of the additional designation from the continuing education regulations interfered with his fundamental right to freedom of profession and his fundamental right to property and complained of a violation of the general principle of equality. The medical association considered the action inadmissible.
The Higher Administrative Court now rejected the application, since a violation of the plaintiff’s rights could not be recognized. The plaintiff can continue to use his title HOMEOPATHY also under the new regulations.
The expectations presented by him – in particular, the expectation to find suitable practice representatives and to be able to sell his practice on retirement at a profit – do not justify any legal positions protected by fundamental rights and consequently also no obligation of the Bremen Medical Association to enable physicians to obtain the additional title of homeopathy in future.
As several further medical associations in Germany have banned homeopathy in the same way as Bremen and were consequently also taken to court by homeopathy enthusiasts, one can be optimistic that these cases will also go against homeopathy.
“I don’t take chemicals,
I prefer natural herbal remedies!”
How often have we heard such statements? They are usually pronounced with an air of smug superiority and condescending pity towards those poor consumers who swallow paracetamol, ibuprofen, or other chemicals when having a headache or other health problem.
But the air of superiority seems misplaced because these ‘herbivores’ actually consume many more chemicals than the ‘chemivores’. What those who swear by ‘non-chemical’ medicines ignore is the fact that herbal remedies are packed with many different chemicals.
Below I have listed the main active chemical compound of some very well-known herbal remedies:
- Calendula (Calendula officinalis L.): flavonoids, triterpene alcohols, triterpene saponins, carotenoids, polysaccharides, essential oil
- Chamomile (Matricaria recutita L.): essential oil, sesquiterpenes, dicycloethern
- Echinacea (Echinacea purpurea): polysaccharides, caffeic acid derivatives, alkamides, polyacetylenes, essential oil.
- Eucalyptus (Eucalyptus globulus Labill.): cineole, euglobales, macrocarpales
- Garlic (Allium sativum L.): alliin [(+)- S-allyl-L-cystein sulfoxide], allicin (allyl 2- thiosulphate propane)
- Hops (Humulus lupulus L.): phloroglucinol derivates, essential oil
- Lavender (Lavandula angustifolia Mill.): linalyl acetate and linalool, tannins
- Liquorice (Glycyrrhiza glabra L.): triterpenoid, flavonoids, isoflavones, polysaccharides
- Peppermint (Mentha x piperita L.): menthol, menthone, menthyl acetate, tannins, flavonoids
- Valerian (Valeriana officinalis L.): essential oil, sesquiterpene acids, iridoids, lignans, caffeic acid derivatives, alkaloids
Whenever I explain this to a ‘herbivore’ (here defined as a person who prefers herbal to conventional medicine), she is initially taken aback but, as soon as she has recovered from the shock, she regains their superior attitude and says: “Ah yes, but these are natural chemicals; they cannot do any harm, you know.”
“No, I don’t know!” I then reply, “There are two errors in what you just said: firstly, many chemicals that plants produce are highly poisonous – in fact, some of the most potent toxins we know come from plants – and secondly there is no difference between a chemical XY produced by a plant and the same chemical produced in a factory.”
At this stage, we usually change the subject or part our ways.
Tai chi is a form of exercise that combines deep breathing and relaxation with meditative, slow movements. Originally developed as a martial art in 13th-century China, tai chi is now practised around the world as a health-promoting exercise. Despite its popularity, its therapeutic value is not clear.
This randomized, assessor-blinded trial examined the therapeutic efficacy of tai chi for the management of central obesity. A total of 543 participants with central obesity were randomly assigned in a 1:1:1 ratio to:
- a control group with no exercise intervention (n = 181),
- conventional exercise consisting of aerobic exercise and strength training (EX group) (n = 181),
- a tai chi group (TC group) (n = 181). Interventions lasted 12 weeks.
Outcomes were assessed at baseline, week 12, and week 38. The primary outcome was waist circumference (WC). Secondary outcomes were body weight; body mass index; high-density lipoprotein cholesterol (HDL-C), triglyceride, and fasting plasma glucose levels; blood pressure; and incidence of remission of central obesity.
The adjusted mean difference in WC from baseline to week 12 in the control group was 0.8 cm (95% CI, -4.1 to 5.7 cm). Both intervention groups showed reductions in WC relative to control (adjusted mean differences: TC group vs. control, -1.8 cm [CI, -2.3 to -1.4 cm]; P < 0.001; EX group vs. control: -1.3 cm [CI, -1.8 to -0.9 cm]; P < 0.001); both intervention groups also showed reductions in body weight (P < 0.05) and attenuation of the decrease in HDL-C level relative to the control group. The favorable changes in WC and body weight were maintained in both the TC and EX groups, whereas the beneficial effect on HDL-C was only maintained in the TC group at week 38.
The authors concluded that Tai chi is an effective approach to reduce WC in adults with central obesity aged 50 years or older.
This is a decent trial with an odd conclusion: it is not just the Tai chi intervention but both types of exercise that yield significantly positive effects on the primary outcome measure. So, why did the authors not conclude exercise is an effective approach to reduce WC in adults with central obesity aged 50 years or older?
Could it be that such a conclusion would have meant stating the obvious?
The delivery man was sweating heavily, and when he handed over the two packages I realized why: they weighed like lead. They contained the new edition of The Oxford Textbook of Medicine.
It comes in 4 large volumes, is over 6000 pages long, and has several hundred contributors who include the foremost experts in their fields (and costs a bomb). On Amazon, it is advertised as the foremost international textbook of medicine. Unrivalled in its coverage of the scientific aspects and clinical practice of internal medicine and its subspecialties, it is a fixture in the offices and wards of physicians around the world, as well as being a key resource for medico-legal practitioners. Accessible digitally with regular updates, as well as in print, readers are provided with multiple avenues of access depending on their need and preference.
More comprehensive, more authoritative, and more international than any other textbook; Oxford Textbook of Medicine focuses on offering both perspective and practical guidance on clinical management and prevention of disease…
I think that describes the book rather well. But why, you rightly ask, did I receive a copy, and why do I write about it here? The simple reason is, that I contributed a chapter. My contribution is just 6 pages long (does that mean the importance of so-called alternative medicine [SCAM] to healthcare is 1/1000th of the total?), but I am nevertheless not half proud of it. Here is a nice quote from my chapter:
When used as a true alternative to mainstream medicine, CAM can become a hazard to patients even if the treatment itself is without risk. In many countries, including the United Kingdom, CAM is practised mostly by healthcare professionals who are not medically trained, often in the absence of stringent regulation, leading many to be concerned that vulnerable patients may be exploited.
I believe this to be the most important message about SCAM and I am pleased that it is expressed in one of the world’s most important textbooks.
This systematic review and meta-analyses explored the strength of evidence on efficacy and safety of Ayurvedic herbs for hypercholesterolemia. Methods: Literature searches were conducted and all randomized controlled trials on individuals with hypercholesterolemia using Ayurvedic herbs (alone or in combination) with an exposure period of ≥ 3 weeks were included. The primary outcomes were total cholesterol levels, adverse events, and other cardiovascular events.
A total of 32 studies with 1386 participants were found. They tested three Ayurvedic herbs:
- Allium sativum (garlic),
- Commiphora mukul (Guggulu),
- Nigella sativa (black cumin).
The average duration of intervention was 12 weeks. The meta-analysis of the trials showed that
- Guggulu reduced total cholesterol and low-density lipoprotein levels by 16.78 mg/dL (95% C.I. 13.96 to 2.61; p-value = 0.02) and 18.78 mg/dL (95% C.I. 34.07 to 3.48; p = 0.02), respectively.
- Garlic reduced LDL-C by 10.37 mg/dL (95% C.I. -17.58 to -3.16; p-value = 0.005).
- Black cumin lowered total cholesterol by 9.28 mg/dL (95% C.I. -17.36, to -1.19, p-value = 0.02).
Reported adverse side effects were minimal.
The authors concluded that there is moderate to high level of evidence from randomized controlled trials that the Ayurvedic herbs guggulu, garlic, and black cumin are moderately effective for reducing hypercholesterolemia. In addition, minimal evidence was found for any side effects associated with these herbs, positioning them as safe adjuvants to conventional treatments.
For the following reasons, I fail to see how these conclusions can be justified:
- Too many of the included studies are of poor quality.
- Only for garlic are there a sufficient number of trials for attempting to reach a generalizable conclusion.
- Giving garlic to patients with hypercholesterolemia is hardy Ayurvedic medicine.
- Even the effect of the best-tested herbal remedy, garlic, is not as large as the effects of conventional lipid-lowering drugs.
- Conclusions about the safety of medicines purely on the basis of RCTs are unreliable.
- The affiliations of the authors include the College of Integrative Medicine, Maharishi International University, Fairfield, USA, the School of Science of Consciousness, Maharishi University of Information Technology, Noida, India, and the Maharishi International University, Fairfield.
Research can be defined as the process of discovering new knowledge. There are three somewhat overlapping types of research:
- Exploratory research is research around a problem that has not yet been clearly defined. It aims to gain a better understanding of the nature of the issues involved with a view of conducting more in-depth research at a later stage.
- Descriptive research creates knowledge by describing the issues according to their characteristics and population. It focuses on the ‘how’ and ‘what’, but not on the ‘why’.
- Explanatory research is aimed at determining how variables interact and at identifying cause-and-effect relationships. It deals with the ‘why’ of research questions and is therefore often based on experiments.
The motivation behind doing research in medicine does, of course, vary but essentially it should be to help advance our knowledge and thus create progress.
I have been a researcher in several areas of medicine: physical medicine and rehabilitation, blood rheology, so-called alternative medicine (SCAM). My kind of research was mostly the explanatory type, i.e. formulating a research question and trying to answer it. Looking back at my ~40 years as an active researcher, I find remarkable differences between doing research in SCAM and the other subjects.
The process of discovering new knowledge is rarely contentious. New knowledge may be useful or useless but it should not generate contention. Of course, there can be debates about the reliability of the findings; this is entirely legitimate, helpful, and necessary. We always need to make sure that results are valid, reproducible, and true. And of course, the debates about the quality of the data can generate a certain amount of tension. Such tensions are stimulating and must be welcomed. I have been lucky to have experienced them in all areas of the research I ever touched.
The tension I experienced while doing SCAM research, however, was of an entirely different nature – so much so that I would not even call it ‘tension’; it was outright hostility. While doing non-SCAM research, it had never been in doubt that my research was honestly aimed at creating progress, this issue became the focal point after I had started SCAM research.
- When my research showed that homeopathy might not be effective, I got PERSONALLY attacked by homeopaths.
- When my research showed that homeopathy might not be safe, I got PERSONALLY attacked by homeopaths.
- When my research showed that chiropractic might not be effective, I got PERSONALLY attacked by chiropractors.
- When my research showed that chiropractic might not be safe, I got PERSONALLY attacked by chiropractors.
- When my research showed that acupuncture might not be effective, I got PERSONALLY attacked by acupuncturists.
- When my research showed that acupuncture might not be safe, I got PERSONALLY attacked by acupuncturists.
- When my research showed that herbalism might not be effective, I got PERSONALLY attacked by herbalists.
- When my research showed that herbalism might not be safe, I got PERSONALLY attacked by herbalists.
- Etc., etc.
Essentially, doing SCAM research felt like doing research not FOR but AGAINST the will of those who should have had the most interest in it.
As I said, one way to describe research is as a process of discovering new knowledge and creating progress. The main difference between doing research in SCAM and non-SCAM areas is perhaps this: in medicine, almost everyone is interested in discovering new knowledge and creating progress, while in SCAM hardly anyone shares this interest. In SCAM, I now tend to feel, research is not understood as a tool for finding the truth, but one for generating more business. To put it even more bluntly: medicine, in general, is open to research and its consequences hoping to make progress; SCAM is mostly anti-science and not interested in progress.
To me, the answer seems obvious: the truth or progress would be bad for the business of SCAM.
Prince Charles has claimed that people struggling to return to full health after having the coronavirus should practice yoga. This is what the GUARDIAN reported about it on Friday:
In a video statement on Friday to the virtual yoga and healthcare symposium Wellness After Covid, the heir apparent said doctors should work together with “complementary healthcare specialists” to “build a roadmap to hope and healing” after Covid. “This pandemic has emphasised the importance of preparedness, resilience and the need for an approach which addresses the health and welfare of the whole person as part of society, and which does not merely focus on the symptoms alone,” Charles said. “As part of that approach, therapeutic, evidenced-informed yoga can contribute to health and healing. By its very nature, yoga is an accessible practice which provides practitioners with ways to manage stress, build resilience and promote healing…”
… Charles, who has previously espoused the benefits of yoga, is not the only fan in the royal family. His wife, the Duchess of Cornwall, has said “it makes you less stiff” and “more supple”, while Prince William has also been pictured doing yogic poses. In 2019, the Prince of Wales said yoga had “proven beneficial effects on both body and mind”, and delivered “tremendous social benefits” that help build “discipline, self-reliance and self-care”.
END OF QUOTE
Yoga is a complex subject because it entails a host of different techniques, attitudes, and life-styles. There have been numerous clinical trials of various yoga techniques. They tend to suffer from poor study design as well as incomplete reporting and are thus no always reliable. Several systematic reviews have summarised the findings of these studies. A 2010 overview included 21 systematic reviews relating to a wide range of conditions. Nine systematic reviews arrived at positive conclusions, but many were associated with a high risk of bias. Unanimously positive evidence emerged only for depression and cardiovascular risk reduction. There is no evidence that yoga speeds the recovery after COVID-19 or any other severe infectious disease, as Charles suggested.
Yoga is generally considered to be safe. However, a large-scale survey found that approximately 30% of yoga class attendees had experienced some type of adverse event. Although the majority had mild symptoms, the survey results indicated that patients with chronic diseases were more likely to experience adverse events. It, therefore, seems unlikely that yoga is suited for many patients recovering from a COVID-19 infection.
The warning by the Vatican’s chief exorcist that yoga leads to ‘demonic possession’ might not be taken seriously by rational thinkers. Yet, experts have long warned that many yoga teachers try to recruit their clients into the more cult-like aspects of yoga.
Perhaps the most remarkable expression in Charles’ quotes is the term ‘EVIDENCE-INFORMED‘. It crops up regularly when Charles (or his advisor Dr. Michael Dixon) speaks or writes about so-called alternative medicine (SCAM). It is a clever term that sounds almost like ‘evidence-based’ but means something entirely different. If a SCAM is not evidence-based, it can still be legitimately put under the umbrella of ‘evidence-informed’: we know the evidence is not positive, we were well-informed of this fact, we nevertheless conclude that yoga (or any other SCAM) might be a good idea!
In my view, the regular use of the term ‘evidence-informed’ in the realm of SCAM discloses a lack of clarity that suits all snake-oil salesmen very well.
 Ernst E, Lee MS: Focus on Alternative and Complementary Therapies Volume 15(4) December 2010 274–27
 Matsushita T, Oka T. A large-scale survey of adverse events experienced in yoga classes. Biopsychosoc Med. 2015 Mar 18;9:9. doi: 10.1186/s13030-015-0037-1. PMID: 25844090; PMCID: PMC4384376.
The Indian AYUSH ministry has a track record of doing irresponsible stuff. Now they have published guidelines for treating Mucormycosis (black fungus) with homeopathy. Allow me to show you the crucial passages of their announcement:
… With the increasing cases of special variety of fungal infection, Mucormycosis (black fungus) the present information have been prepared with experience of senior clinicians in treating specific fungal infections and researchers of the system, for efficient treatment of suspected and diagnosed cases of Mucormycosis with Homoeopathy. This condition requires hospital based treatment under supervision and Homoeopathic medicines can be prescribed in an integrated manner. Since mostly immune compromised patients get this infection, strict monitoring of blood sugar and other vitals is required…
As a system with holistic approach, homoeopathy medicines may be selected based on the presenting signs and symptoms of each patient(4). Fungal infections are amenable to homoeopathic treatment. Various research studies undertaken on various fungi in-vitro model showed that homoeopathy medicine could prevent the growth of the fungus(5-8). Clinical studies have shown encouraging results on fungal infections (9-10). The medicines given here are suggestive based on their clinical use.
Note: -Apart from these lists of medicines any other medicine and any other potency may be
prescribed based on the symptom similarity in each case.
END OF QUOTE
Mucormycosis (black fungus) is a disease of immunocompromised patients. Five types can be differentiated:
- rhinocerebral (most common),
- gastrointestinal (rare).
Rhinocerebral mucormycosis commonly causes headaches, visual changes, sinusitis, and proptosis. Pulmonary mucormycosis commonly presents as a cough. Late diagnosis may result in dissemination, leading to high mortality. Treatment consists of amphotericin B, surgery, and immune restoration.
It is believed that the current surge of mucormycosis in India has an overall mortality rate of 50% and is triggered by the use of steroids which are often life-saving for critically ill Covid-19 patients. It almost goes without saying that homeopathy has not been shown to be effective against this (or any other) condition. As to the AYUSH ministry, the less they interfere with public health in India, the better for the survival of patients, I fear.