Antidepressants are well established for use in the treatment of depression, but new research by Keele University has shown that they can potentially prevent the condition in people who are at high risk of developing depressive illness.
The study, led by Professor Saeed Farooq, found that using antidepressants as a pre-emptive measure could help to prevent depression in patients considered to be at high risk of developing the condition, for example following stroke or heart attack.
This is the first study to examine the effects of all available medicine-based interventions in preventing depression, with Professor Farooq and his colleagues looking at the results of a number of previous studies in this field to assess how effective these treatments are.
The 28 studies they analyzed considered a number of possible medical interventions for patients at high risk of developing depression, including antidepressants, hormone replacement therapies, and selenium, a mineral that has been linked to depression.
The majority of the studies examined the effect of antidepressants in preventing depression associated with a stroke, Hepatitis C, or other physical conditions.
The analysis found that antidepressants were significantly more effective at preventing depression in these patients, compared to those who were given placebos.
While the researchers have said the results are promising, Professor Farooq said that further studies are needed using proper research designs. Most studies the researchers examined had relatively short follow-up periods, which is crucial as observation over a longer period of time is needed to establish the effectiveness of preventative treatments.
Professor Farooq added that this approach is not yet ready for use in routine clinical practice but needs to be tested in larger, well designed studies. He stressed that funding agencies such as Medical Research Council UK need to prioritize research using pharmacological agents in preventing rather than treating depression.
Professor Farooq said: “Our study represents a major public health advance for preventing depression and we are not aware of any research that has shown such a significant effect of antidepressants in preventing depression. If the findings are confirmed in future studies this will help to prevent a colossal burden of disease caused by depressive illness worldwide.”
Major depressive disorder is estimated by the WHO to affect more than 300 million people globally, making the disorder the leading cause of disability worldwide.1 The lifetime prevalence of major depressive disorder is between 10% and 20%.2 3
Antidepressants are commonly used to treat depression. We provide a narrative review on the evidence on the effects of antidepressants compared with placebo in patients with a primary diagnosis of major depressive disorder.
We do not consider the effects of antidepressants in patients with a primary somatic disorder or the effects of antidepressants for other disorders than major depressive disorder.
Sources and selection criteria
Two investigators (JCJ and CG) independently searched the Cochrane Library, BMJ Best Practice and PubMed up to June 2019 with the search terms ‘depression’ and ‘antidepressants’ targeting narrative and systematic reviews published in English since 1990.
We included any review assessing benefits and harms of any antidepressant compared with placebo in adults. We additionally searched references of the identified articles and, where relevant, we included recommendations from guidelines. We have not published a protocol before performing the literature search, which is a limitation.
How is major depressive disorder diagnosed?
The diagnosis of major depressive disorder in clinical practice is based on the presence of certain symptoms according to the diagnostic criteria outlined in either the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) or the International Classification of Diseases-10th Revision.4 5
These two sets of diagnostic criteria are largely comparable. The diagnosis of depression as it is defined by these diagnostic criteria does not build on any aetiological or pathophysiological framework. The assessment according to the diagnostic criteria might be supported by a structured interview, such as the Mini-International Neuropsychiatric Interview or the Structured Clinical Interview for DSM.6 7
The conduct of these interviews may take 15–60 min. There are no objective tests and no laboratory test (eg, blood tests, MRI scans) for depression or for validating the diagnosis.
Antidepressant use is considerable, especially in the Western world, and is on the rise in several countries.8 Data from the National Health and Nutrition Examination Survey published in 2017 showed that during 2011–2014 about one in eight people aged 12 and over in the USA reported taking antidepressants during the previous month.9
Antidepressant use increased nearly 65% over a 15-year time frame,9 and more than 60% of people in the USA taking antidepressants have been taking them for more than 2 years.9
Antidepressants for major depressive disorder, either alone or in combination with psychotherapy, are recommended by the UK National Institute for Health and Care Excellence (NICE), the American Psychiatric Association, as well as guidelines.10–16
Furthermore, psychiatrists and general practitioners worldwide routinely use antidepressants in the treatment of depression.
Several different antidepressants exist (see box 1).17 Selective serotonin reuptake inhibitors (SSRIs) are the most widely prescribed class of antidepressants and are often first-line treatment for depression.18
Box 1 – Types of antidepressants
- Selective serotonin reuptake inhibitors (eg, citalopram, escitalopram, fluoxetine, paroxetine and sertraline).
- Serotonin-norepinephrine reuptake inhibitors (eg, venlafaxine, duloxetine and milnacipran).
- Tricyclic antidepressants (eg, amitriptyline, imipramine and nortriptyline).
- Atypical antidepressants (eg, mirtazapine, agomelatine and bupropion).
- Monoamine oxidase inhibitors (eg, isocarboxazid and phenelzine).
How much difference should antidepressants make?
The effect of antidepressants on depression is, in clinical trials, most often measured by assessing the effect on the severity of depressive symptoms on a scale, such as the 17-item Hamilton Depression Rating Scale (HDRS) (range 0–52 points).
The HDRS is the most commonly used depression rating scale and is the recommended scale by psychiatrists worldwide. NICE previously suggested that a three-point difference on the HDRS or a 0.5 standardised mean difference (SMD) met the criteria for clinical significance (minimally important difference).19
NICE no longer presents these thresholds for clinical significance on their website and these thresholds have been criticised. Nevertheless, these thresholds have since been used in several studies assessing the effects of antidepressants.20 21 Furthermore, the 0.5 SMD threshold was originally proposed by Cohen (as a minimum for a ‘moderate’ effect) and has been used as a minimally important difference in several studies across medical specialties.22
The above-mentioned thresholds suggested by NICE were not empirically based and are presumably too small.23 One study has shown that an SSRI-placebo mean difference of up to three points on the HDRS corresponds to a clinical judgement of ‘no change’ in the person’s condition.23
Based on these data, a more stringent criterion of clinical significance has been recommended.24 Thus, global clinical ratings of ‘minimal improvement’ correspond to approximately a seven-point change on the HDRS23 or an SMD of 0.875.
These have been proposed as empirically derived thresholds for a minimally important difference.24 It should, however, be noted that these empirically derived thresholds do not necessarily provide a precise estimate of what patients consider the smallest worthwhile effect of antidepressants.
Nevertheless, these suggested thresholds for clinical significance need to be considered when interpreting the results of reviews on depression; as mentioned all available evidence shows that a difference of, for example, two HDRS points must be regarded as a minimal effect and is presumably undetectable by the average patient with depression.23
However, although the available evidence (based on the available assessment scales) shows that the average effect on depressive symptoms is minimal, theoretically and in clinical practice some patients might benefit significantly from antidepressants.
Nevertheless, if the averaged effect is minimal and close to zero effect and some patients benefit significantly from antidepressants, then there has to be a comparable proportion of patients who are significantly harmed by antidepressants—otherwise the averaged effect would not be close to zero effect. Moreover, we have not identified any studies that identify clearly who will respond to antidepressants and who will not.
Trialists often dichotomise the HDRS scale, that is, transforming the HDRS score between 0 and 52 into a binary score, for example when responders are compared with non-responders based on a criterion of ≥50% improvement on the HDRS (yes/ no).
However, several publications have shown that such transformation of continuous data into two groups (dichotomisation) is problematic due to several methodological limitations of dichotomisation, and dichotomisation has been shown to produce biased results.25 26
Furthermore, a person who improves by ≥50% is called a responder, whereas one who improves by 49% is called a non-responder, thus inflating the apparent difference between these patients.26
Conversely, a person who improves by ≥50% is categorised as being the same as a person whose symptoms disappear completely, and one with 49% improvement is considered the same as a person showing no improvement at all.
It will depend on how data are distributed, but even though a larger proportion of participants cross the arbitrary cut-point in the antidepressant group (which has a slightly lower mean HDRS score than the control group) compared with the control group (often HDRS below 8 for remission and 50% HDRS reduction for response), the effect measured on the HDRS might still be limited to a few HDRS points (eg, 3 HDRS points) or less.
If data are distributed differently or other cut-off points are chosen, a ‘true’ difference between two groups might not be detected when assessing these dichotomised outcomes. Hence, when assessing such dichotomised outcomes, there is a considerable risk of overestimating benefit, but there is also a risk of not detecting a ‘true’ effect.
Hence, dichotomised outcome results, such as ‘response’ or ‘remission’, should not be used to assess statistical or clinical significance and should be interpreted with caution.
The HDRS has been questioned as an ‘interval scale’, that is, that the distance between any two consecutive points is the same wherever you are on the scale.27 It must also be noted that when other assessment scales are used (eg, Beck Depression Inventory, Montgomery-Åsberg Depression Rating Scale, Hamilton six-item scale), the results correspond to the HDRS results, that is, statistically significant results with questionable importance to the average patient.28
It is possible that the HDRS should be considered ordinal scaled data where the distance between any two consecutive points cannot be said to be the same as the difference between two consecutive points elsewhere on the scale.27
It has been argued that the HDRS is psychometrically and conceptually flawed.29 Consequently, it may be argued that it is not even possible to assess the clinical relevance of a given HDRS score, and that the evidence base is thus fundamentally flawed due to the reliance on the HDRS.
New trials using more clinically relevant outcome scales, in addition to better designs, would be needed to demonstrate that antidepressants offer more benefit than harm before antidepressants should be used in the treatment of depression.
In summary, it is of utmost importance to consider the clinical relevance of statistically significant results when assessing the effects of antidepressants and to assess effect sizes based on non-dichotomised scores.
How good are antidepressants?
Several reviews have assessed the effects of antidepressants compared with placebo for depression.30 All these previous reviews show that antidepressants have statistically significant effects on depressive symptoms.
The vast majority of the previous reviews were non-systematic reviews (according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)), that is, narrative reviews.31 We will in the following paragraphs describe two of the largest and recently published systematic reviews.31
In 2017 we published a systematic review (according to PRISMA) where all relevant databases were searched, both beneficial and harmful effects were systematically assessed, and a predefined assessment of the clinical significance of antidepressants was performed.28
That review found, as all other previous reviews have shown, that SSRIs compared with placebo had a statistically significant effect on depressive symptoms.28 The effect size of SSRIs (1.94 HDRS points, 95% CI −2.50 to −1.37; or −0.23 SMD, 95% CI −0.31 to −0.14) was, however, below the predefined threshold for clinical significance (the above-mentioned NICE criteria) and far from ‘minimal improvement’ (eg, seven-point change on the HDRS or an SMD of 0.875).
The few trials assessing long-term effects showed that such effects seemed even smaller than the short-term effects. There were almost no data on suicidal behaviour or quality of life. We found that SSRIs significantly increased the risk of both serious and non-serious adverse events.
All the included trials in the review were at high risk of bias, so there is a great risk that the results of the review overestimate the beneficial effects and underestimate the harmful effects of SSRIs.32–34 We concluded that the harmful effects of SSRIs seem to outweigh the possible small beneficial effects. Our Grading of Recommendations Assessment, Development and Evaluation (GRADE) assessment of the certainty of the evidence: very low certainty (http://www.gradeworkinggroup.org/).
A large network meta-analysis was recently published in The Lancet.35 The authors included placebo-controlled and head-to-head trials of 21 commonly used antidepressants, including SSRIsBox 2.
The authors recorded all outcomes as close to 8 weeks as possible, that is, only short-term results were assessed. The authors also assessed ‘acceptability’ (treatment discontinuation measured by the proportion of patients who withdrew for any reason) and the proportion of patients who dropped out early because of adverse events, but these outcomes are difficult to interpret clinically—patients might, for example, continue taking antidepressants even if they experience serious adverse effects.
Neither serious nor non-serious adverse events were assessed in the network meta-analysis. The results regarding benefit were virtually identical with previous reviews and showed that overall antidepressants compared with placebo seemed to reduce depressive symptoms with a statistically significant effect (SMD 0.30, 95% credibility interval 0.26 to 0.34).
Such an effect size is presumably without any clinical relevance.24 Baseline depression severity was high (HDRS 25.7). A major limitation of the review was that only 18% of the included trials were assessed at low risk of bias, so there is a great risk that the results of the review overestimate the beneficial effects and underestimate the harmful effects of antidepressants.32–34
Our GRADE assessment of the certainty of the evidence: very low certainty.
As mentioned, several other reviews have been published generally confirming that antidepressants have statistically significant effects, but only a few of these reviews assessed the clinical significance of the review results.
Nevertheless, if the effect estimates from the previous reviews are related to, for example, the NICE criteria (see ‘How much difference should antidepressants make?’ section), then the previous reviews confirm that antidepressants generally have minimal beneficial effects on depressive symptoms.
Even though there is no valid evidence showing beneficial effects of antidepressants for depression, we cannot exclude that the evidence is showing beneficial effects for other conditions than major depressive disorder.
Limitations of current evidence for antidepressants
The primary limitation of all the available evidence on the effects of antidepressants is that the majority of previous trials assessing the effects of antidepressants have been at high or unclear risk of bias.28 33–35
Even if the trials used matching placebo, due to easily recognised adverse events in the experimental group and lack of adverse effect in the control groups, some patients might be able to figure out if they received an antidepressant or a placebo, which might compromise blinding and hence valid assessment of subjective symptoms.
Trials at high or unclear risk of bias tend to overestimate benefits and underestimate harms.30 32–34 36–41 Despite biases inflating beneficial effects of review results, they still show only negligible differences between antidepressants and placebo on depressive symptoms, and the ‘true’ effect of antidepressants might not even be statistically significant.
The evidence base for antidepressants is also limited by low generalisability due to inclusion of highly selected patients. Results from a large trial conducted in a clinical setting (the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial) showed that 77.8% of the patients in the STAR*D trial would have been excluded in conventional clinical trials.42
The patients in this trial showed a low improvement on the HDRS of 6.6 points after 3 months of treatment with an SSRI, compared with a mean improvement of 14.8 points on the HDRS in conventional comparator trials that, like the STAR*D trial, do not include placebo controls.43
These data indicate that, in a clinical setting, the benefit of antidepressants is low and that the exclusion criteria typically used in randomised clinical trials lead to inflated effect estimates.
Industry involvement in research and the possible implications
Lundh et al39 showed that industry involvement by the manufacturing company leads to more favourable results and conclusions than sponsorship by other sources. Industry-sponsored studies showed more often benefits, relative risk (RR) 1.27 (95% CI 1.17 to 1.37), and more often favourable conclusions, RR 1.34 (95% CI 1.19 to 1.51).39
Ebrahim et al30 identified 185 eligible meta-analyses assessing the effects of different antidepressants, and in the meta-analyses including an author who was an employee of the manufacturer of the assessed drug, these were 22-fold less likely to have negative statements about the drug than other meta-analyses.
The above-mentioned systematic review assessing the effects of SSRIs (see ‘How good are antidepressants?’ section) also concluded that the vast majority of the included trials (39 out of 43 trials) with useful data were at high risk of ‘for profit’ bias.28
That review found no significant effect of SSRIs on the HDRS in trials at low risk of ‘for profit’ bias, whereas the beneficial effects were statistically significant in trials at high or unclear risk of ‘for profit’ bias.28
As a substantial proportion of research concerning antidepressants is prone to ‘for profit bias’, the results of previous results likely overestimate benefit and underestimate harm.30 39
This needs to be considered when interpreting the available research results.
Whom to treat?
One small individual patient data meta-analysis found support for increasing benefit with increasing severity of depression,20 but three larger individual patient data meta-analyses did not find any such effect of antidepressants compared with placebo on depression severity .44–46
Other studies have found support for increasing benefit with increasing severity of depression,21 but the effects size even for patients with the most severe depression was still minimal.21
Thus, it appears that there is no clear evidence to support the notion that antidepressants would be of more benefit in severe depression compared with mild or moderate depression.
How long to treat?
Most trials and reviews have only assessed short-term effects (approximately 4–8 weeks) of antidepressants. The long-term effects of antidepressants are unclear. There are very few data on the long-term effects of antidepressants (eg, after 1 year).
A recently published review assessing results after 24 weeks showed that the longer-term effects of antidepressants (SMD 0.34) seem as small as the short-term effects.47
A clinical practice guideline from NICE showed similar results (SMD 0.28).19 It is possible that long-term treatment with antidepressants may even worsen outcomes.48 Given the absence of evidence for benefits, there is thus no supporting evidence for long-term treatment with antidepressants.
What are the harms?
It has been shown that SSRIs, the most commonly used antidepressants, increase the risk of both serious and non-serious adverse events.28 Even though the increased relative risk of a serious adverse event is quite large, the absolute risk of a serious adverse event is still small, while SSRI adverse events not considered severe are more common.
During long-term use of SSRIs, the most troubling adverse effects seem to be gastrointestinal problems, sleep disturbances and sexual dysfunction,49 of which the latter, in some patients, may be persistent even after stopping treatment.50 Additionally, the risk of birth defects seems to be increased in infants of women treated with some SSRIs during pregnancy.51
Adverse effects of other types of antidepressant than SSRIs (eg, serotonin-norepinephrine reuptake inhibitors and tricyclic antidepressants (TCAs)) are not thoroughly assessed in systematic reviews, but they may, theoretically, be more severe.
Non-randomised studies have, for example, shown that TCAs can cause seizures as well as death due to the slowing of intraventricular conduction, leading to complete heart block or ventricular arrhythmias.49 Moreover, because the evidence base consists of short-term trials, it is likely that the current estimates of adverse effects of antidepressants are underestimated.49 The focus on short-term follow-up results is problematic in general as a large proportion of patients report taking antidepressants for years.9
Withdrawal symptoms after SSRIs typically occur within a few days from drug discontinuation and last a few weeks, also with gradual tapering, but the withdrawal symptoms might include late onset and longer persistence of disturbances and may be easily misidentified as signs of impending relapse.52
There are many similarities between the withdrawal symptoms associated with SSRIs and the withdrawal symptoms associated with antidepressants such as venlafaxine and duloxetine.52 A recently published review found that a significant proportion of people who experience withdrawal symptoms after treatment with antidepressants do so for more than 2 weeks and that it is not uncommon for people to experience withdrawal for several months.53
Withdrawal symptoms may be alleviated by reinstating treatment with the antidepressant that triggered the symptoms, and it may for this, and many other reasons, be difficult for some patients to stop taking antidepressants once the treatment has started.52
Withdrawal symptoms might also explain why some studies have alleged to show that the risk of relapse seems to be reduced if antidepressants are continued instead of not continued.54 55 Withdrawal symptoms might be the reason why patients who do not continue antidepressants might do worse compared with patients who continue antidepressants.
Combination of antidepressants and psychotherapy
Antidepressants in combination with psychotherapy are recommended for major depressive disorder by both NICE and the American Psychiatric Association, as well as other guidelines.5 13 14 16 56 57 A non-systematic review showed that adding antidepressants to psychotherapy seemed to have a statistically significant effect, but again the effect was minimal and below the NICE criteria (SMD 0.35; 95% CI 0.24 to 0.45; p<0.001).10
At long-term follow-up, no difference between psychological and combined treatments was found.10 Two other reviews have shown similar results.58 59 The effects of adding antidepressants to psychotherapy seem negligible just as the effects of antidepressants when used as the only therapy.
Other treatment options?
For persons with depression, a range of options other than antidepressants could be considered when informing patients about treatment choices. Such options involve different forms of psychotherapy, addressing social and psychological issues, physical health, and lifestyle.
Choosing between treatment options should be based on careful information about the benefits and harms of each treatment option and alternative treatment options.
International guidelines, as a first step, recommend sleep hygiene institution and implementing lifestyle changes, such as adopting regular exercise,14 16 smoking cessation and a healthy diet,14 16 tapering of drugs that can lower mood, and addressing substance use if relevant16 – although it must be noted that the evidence behind these suggested interventions is lacking.60
Nevertheless, addressing and acknowledging social causes of depression should in all cases be part of the management of depression. Unemployment61 and increase in material hardship, such as financial strain, deprivation and poverty,62 which are interrelated, increase the risk of depression.
Thus, unemployment increases the risk of experiencing conditions that contribute to and perpetuate psychological distress, such as relative poverty, financial stress, loss of personal control and autonomy, and poor social support.61
While such determinants of depression should effectively be addressed on a societal level, their recognition may for the individual be important in the process of seeking ways to alleviate depression.
Importantly, evidence indicates that a reduction in depressive symptoms may not be the single most important outcome to patients, but rather factors such as the ability to participate in everyday activities and return to work.63 64
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