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There is significant noise claiming that flu shots are largely ineffective, especially against new strains of the flu (see, for example, this site). Both the arguments for, and against, flu shots, claim significant backing from existing research.

How reliable is the information? Are flu shots really effective enough to be worth the cost?

Mad Scientist
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blueberryfields
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3 Answers3

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Mark Crislip from the Science Based Medicine Blog has written a very nice overview of various aspects of flu vaccine effectiveness.

First, every year they have to make an educated guess which influenza strains will be circulating 9 months in the future. The better the guess, the better the protection the vaccine should provide. Some years they choose better than others. But often the match between the vaccine and the disease is not optimal, so vaccine efficacy can be decreased. The vaccine works best when there is a good antigentic match between the vaccine and circulating strain of influenza.

The flu vaccine is only effective for the specific strains of influenca it was targeted at. Those strains are adjusted every year, but creating the vaccines takes time, and sometimes an unexpected strain like the swine flu appears and the regular flu vaccines is not adapted to it.

Second, response to the vaccine is not 100%. The older and more immunoincompetent are the least likely to develop a good antibody response to the vaccine. In a bit of medical irony, the more likely a patient is to need protection from the vaccine, the less likely they are to get a protective antibody response from the vaccine.

No vaccine is perfect, but they don't have to work 100% of the time to save some lives.

If the vaccine is worth it is a more difficult question. If you're not one of the risk groups the benefit for you might be relatively small. But as Mark Crislip notes

In my mind that is the true benefit of the influenza vaccines: decreasing the morbidity and mortality of populations. The benefit for populations is derived through vaccinating individuals. That requires a bit of altruism on the part of those receiving the vaccine, as they may be getting vaccinated more for the benefit of others than for themselves.

If you're young and healthy you might not benefit that much, but your grandmother or your child cousin and anyone from a risk group you get in contact with is probably grateful if you vaccinate.

Your point that both sides claim to be backed by scientific studies is also adressed

Do flu vaccines work? It depends on what the meaning of is is. If you are simplistic and like binary answers, yes or no, then you can pick yes or pick no, and find studies to support your contention that the vaccine doesn’t work.

Mark Crislips conclusion is

Or you can look at the preponderance of data, with all the flaws, nuance, subtleties and qualifiers, and conclude the flu vaccine is of benefit. The vaccine decreases the probability of morbidity and mortality. It is a good thing.

which I can only fully agree with. It might not work 100% of the time and not in 100% of the people, but the flu vaccine saves lives and that is enough.

Mad Scientist
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  • "It might not work 100% of the time and not in 100% of the people, but the flu vaccine saves lives and that is enough." That's meaningless. It makes a difference between whether it saves 1% or whether it saves 99%. How well do those vaccines work? – Christian May 25 '12 at 17:40
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    @Christian it is hard to get solid numbers for the flu vaccine (which really should be called something other than a vaccine) for the reasons stated in the begging of the answer, they have to guess on the strain for that year, and its not really fair to attribute complications from other strains to a failure of that vaccine. The vaccines are FDA approved so they have proved to be somewhat effective against their targeted strain. – Ryathal May 25 '12 at 17:57
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    @Ryathal: If a person wants to know whether to get a flu vaccine it matters to how effective the vaccine happens to be. - Maybe it's not fair for the pharma company when the person actually expects to get no flu after getting the vaccine but that's life. - The fact that the numbers change from year to year doesn't mean that one can't pick a few years as examples. – Christian May 25 '12 at 18:01
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    @Christian what years are you going to pick though? A study like that can't be anything more than a commentary on how good pharma companies have been guessing during those years, and will likely be dismissed as heavily anti/pro vaccine biased based one the number of years included where the predicted strain was incorrect. A useful study to prove the vaccines effectiveness would expose people to the exact strain they were vaccinated for, but this is a useless study for evaluating whether one should get a flu vaccine since it doesn't represent reality. – Ryathal May 25 '12 at 18:14
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    @Ryathal: The fact that an answer wouldn't be perfect doesn't mean that you can't do better than it will work somewhere between 0% and 100% of the time. – Christian May 25 '12 at 18:32
  • @Ryathal "_A study like that can't be anything more than a commentary on how good pharma companies have been guessing during those years_" which is pretty much the question asked! "_and will likely be dismissed as heavily anti/pro vaccine biased based one the number of years included where the predicted strain was incorrect._" nice tactic to avoid just saying "we just have no data showing that the vaccine is in any way useful, but thanks for asking". – curiousguy Aug 25 '12 at 14:39
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Yes. Influenza vaccines do work but might not be as effective as they could be (or as advertised).

These two reviews should cover the whats, whys and WTFs...


Cochrane Database of Systematic Reviews 2010

Vaccines for preventing influenza in healthy adults. Cochrane Database of Systematic Reviews 2010, Issue 7. Art. No.: CD001269.

Authors’ conclusions Influenza vaccines have a modest effect in reducing influenza symptoms and working days lost. There is no evidence that they affect complications, such as pneumonia, or transmission.

WARNING: This review includes 15 out of 36 trials funded by industry (four had no funding declaration). An earlier systematic review of 274 influenza vaccine studies published up to 2007 found industry funded studies were published in more prestigious journals and cited more than other studies independently from methodological quality and size. Studies funded from public sources were significantly less likely to report conclusions favorable to the vaccines. The review showed that reliable evidence on influenza vaccines is thin but there is evidence of widespread manipulation of conclusions and spurious notoriety of the studies. The content and conclusions of this review should be interpreted in light of this finding.

Plain Languange Summary

Vaccines to prevent influenza in healthy adults.

Over 200 viruses cause influenza and influenza-like illness which produce the same symptoms (fever, headache, aches and pains, cough and runny noses). Without laboratory tests, doctors cannot tell the two illnesses apart. Both last for days and rarely lead to death or serious illness. At best, vaccines might be effective against only influenza A and B, which represent about 10% of all circulating viruses. Each year, the World Health Organization recommends which viral strains should be included in vaccinations for the forthcoming season. Authors of this review assessed all trials that compared vaccinated people with unvaccinated people. The combined results of these trials showed that under ideal conditions (vaccine completely matching circulating viral configuration) 33 healthy adults need to be vaccinated to avoid one set of influenza symptoms. In average conditions (partially matching vaccine) 100 people need to be vaccinated to avoid one set of influenza symptoms. Vaccine use did not affect the number of people hospitalised or working days lost but caused one case of Guillian-Barré syndrome (a major neurological condition leading to paralysis) for every one million vaccinations. Fifteen of the 36 trials were funded by vaccine companies and four had no funding declaration. Our results may be an optimistic estimate because company-sponsored influenza vaccines trials tend to produce results favorable to their products and some of the evidence comes from trials carried out in ideal viral circulation and matching conditions and because the harms evidence base is limited.


The Lancet Infectious Diseases 2012

Findings, interpretation and some numbers from Osterholm et al (2012), Efficacy and effectiveness of influenza vaccines: a systematic review and meta-analysis, The Lancet Infectious Diseases, Volume 12, Issue 1, January 2012...

Findings
We screened 5707 articles and identified 31 eligible studies (17 randomised controlled trials and 14 observational studies). Efficacy of TIV was shown in eight (67%) of the 12 seasons analysed in ten randomised controlled trials (pooled efficacy 59% [95% CI 51–67] in adults aged 18–65 years). No such trials met inclusion criteria for children aged 2–17 years or adults aged 65 years or older. Efficacy of LAIV was shown in nine (75%) of the 12 seasons analysed in ten randomised controlled trials (pooled efficacy 83% [69–91]) in children aged 6 months to 7 years. No such trials met inclusion criteria for children aged 8–17 years. Vaccine effectiveness was variable for seasonal influenza: six (35%) of 17 analyses in nine studies showed significant protection against medically attended influenza in the outpatient or inpatient setting. Median monovalent pandemic H1N1 vaccine effectiveness in five observational studies was 69% (range 60–93).

Interpretation
Influenza vaccines can provide moderate protection against virologically confirmed influenza, but such protection is greatly reduced or absent in some seasons. Evidence for protection in adults aged 65 years or older is lacking. LAIVs consistently show highest efficacy in young children (aged 6 months to 7 years). New vaccines with improved clinical efficacy and effectiveness are needed to further reduce influenza-related morbidity and mortality.


Randomised controlled trials of trivalent inactivated vaccine (TIV) meeting inclusion criteria§

Vaccine efficacy (95% CI), n = Patients randomly allocated to receive TIV and placebo.

Adults (18–64 years)

  • 75% (42 to 90), n = 728. Healthy adults aged 18–46 years (2004–05) Type A: drifted H3N2; type B: mixed lineage. Ohmit et al (2006)

  • 16% (–171 to 70), n = 1205. Healthy adults aged 18–48 years (2005–06) Type A: drifted H3N2; type B: lineage mismatch (1 isolate). Ohmit et al (2008)

  • 22% (–49 to 59), n = 6203. Healthy adults aged 18–64 years (2005–06) Type A: similar H3N2 and H1N1; type B: lineage mismatch. Beran et al (2009)

  • 62% (46 to 73), n = 7652. Healthy adults aged 18–64 years (2006–07) Type A: similar H3N2; type B: lineage mismatch. Beran et al (2009)

  • 68% (46 to 81), n = 1139. Healthy adults aged 18–49 years (2007–08) Type A: drifted H3N2; type B: lineage mismatch. Monto et al (2009)

  • 50%† (14 to 71), n = 3514. Healthy adults aged 18–49 years (2005–06) Type A: similar H3N2; type B: lineage mismatch. Jackson et al (2010)

  • 50%† (–3 to 75), n = 4144. Healthy adults aged 18–49 years (2006–07) Type A: similar H3N2; type B: mixed lineage. Jackson et al (2010)

  • 63% (one-sided 97·5% lower limit of 47%), n = 7576. Healthy adults aged 18–49 years (2007–08) Type A: mixed strains; type B: lineage mismatch. Frey et al (2010)

  • 76% (9 to 96), n = 506. Adults aged 18–55 years with HIV infection (2008–09) Type A: drifted H1N1; type B: not reported. Madhi et al (2011)

Children (6–24 months)

  • 66% (34 to 82), n = 411. Healthy children aged 6–24 months (1999–2000) Type A: similar H3N2 and H1N1; type B: not reported. Hoberman et al (2003)

  • –7% (–247 to 67), n = 375. Healthy children aged 6–24 months (2000–01) Type A: similar H3N2 and H1N1; type B: lineage match. Hoberman et al (2003)

  • Notes
    No studies were available for adults aged 65 years or older or children aged 2–17 years.
    § One other study by Loeb and colleagues23 met inclusion criteria and contained data for all age groups.
    † Our calculation.


Randomised controlled trials of live attenuated influenza vaccine (LAIV) meeting inclusion criteria

Vaccine efficacy (95% CI), n = Patients randomly allocated to receive LAIV and placebo.

Adults (>=60 years)

  • Overall 42% (21 to 57); 31% (–3 to 53) for patients aged 60–69 years; 57% (29 to 75) for patients aged >=70 years, n = 3242. Community-dwelling ambulatory adults aged >=60 years (2001–02). Type A: similar H3N2; type B: lineage match. De Villiers et al (2010)

Adults (18–49 years)

  • 48% (-7 to 74), n = 725. Healthy adults aged 18–46 years (2004–05). Type A: drifted H3N2; type B: mixed lineage. Ohmit et al (2006)

  • 8% (–194 to 67), n = 1191. Healthy adults aged 18–48 years (2005–06). Type A: drifted H3N2; type B: lineage mismatch (1 isolate). Ohmit et al (2008)

  • 36% (0 to 59), n = 1138. Healthy adults aged 18–49 years (2007–08). Type A: drifted H3N2; type B: lineage mismatch. Monto et al (2009)

Children (6 months–7 years)

  • 93% (88 to 96), n = 1602. Healthy children aged 15–71 months (1996–97). Type A: similar H3N2; type B: lineage match. Belshe et al (1998)

  • 87% (78 to 93), n = 1358. Healthy children aged 26–85 months (1997–98). Type A: drifted H3N2; type B: not reported (1 isolate). Belshe et al (2000)

  • 84% (74 to 90), n = 1784. Healthy children aged 26–85 months (1997–98). Type A: similar H3N2 and H1N1; type B: lineage match. Vesikari et al (2006)

  • 85% (78 to 90), n = 1119. Healthy children aged 6–<36 months attending day care (2001–02). Type A: similar H3N2 and H1N1; type B: mixed lineage. Vesikari et al (2006)

  • 72% (62 to 80), n = 1886. Healthy children aged 6–<36 months (2000–01). Majority of strains were similar (not reported by type). Bracco Neto et al (2009)

  • 68% (59 to 75), n = 3174. Healthy children aged 12–<36 months (2000–01). Type A: similar H3N2 and H1N1; type B: lineage match. Tam et al (2007)

  • 57% (30 to 74), n = 2947. Healthy children aged 12-<36 months (2001–02). Type A: similar H3N2 and H1N1; type B: mixed lineage. Tam et al (2007)

  • 64% (40 to 79), n = 1233. Healthy children aged 11–<24 months (2002–03). Type A: similar H1N1 and mixed H3N2; type B: mixed lineage. Lum et al (2010)

  • Notes
    No studies were available for adults aged 50–59 years or children aged 8–17 years.
    † Authors reported culture, RT-PCR, and RT-PCR/culture; we report RT-PCR/culture results.


Vaccine effectiveness of seasonal influenza vaccine in studies meeting inclusion criteria

Vaccine efficacy (95% CI), n = Patients randomly allocated Vaccine effectiveness against medically attended influenza.

  • All patients aged 6–59 months admitted to hospital, seen in emergency department or by primary-care doctors for acute respiratory illness (2003–05). Eisenberg et al (2008)

    • 44% (–42 to 78), n = 927 patients (2003–04).
    • 57% (28 to 74), n = 1502 patients (2004–05).
  • All patients aged 6–59 months admitted to hospital, seen in emergency department (inpatient) or by primary-care doctors (outpatient) for acute respiratory illness (2003–05). Szilagyi et al (2008)

    • 12% (–120 to 60), n = 4760 inpatients (2003–04).
    • 52% (–100 to 90), n = 696 outpatients (2003–04)
    • 37% (–50 to 70), n = 4708 inpatients (2004–05).
    • 7% (–80 to 50), n = 742 outpatients (2004–05).
  • Residents recommended for vaccination by ACIP with acute respiratory illness. Belongia et al (2009)

    • 10% (–36 to 40), n = 818 patients. Age <24 months, >=65 years, or high-risk (2004–05).
    • 21% (–52 to 59), n = 356 patients. Age <24 months, >=50 years, or high-risk (2005–06).
    • 52% (22 to 70), n = 932 patients. Age <59 months, >=50 years, or high risk (2006–07).
  • All patients aged >=9 years presenting with ILI to sentinel primary-care practitioners. Skowronski et al (2009)

    • 47% (18 to 65), n = 841.
  • Cohort of patients aged 6–35 months presenting with ILI enrolled in a randomised controlled trial for antivirals (2007–08). Heinonen et al

    • 72% (35 to 88), n = 340.
  • All patients >=65 years old presenting with ILI (2008–09). Savulescu et al (2010)

    • 79% (–26 to 96), n = 103.
  • All patients >=65 years old presenting with ILI (2008–09). Kissling et al (2009)

    • 59% (15 to 80), n = 292.
  • All patients aged 6–59 months presenting with ILI (2008). Kelly et al (2011)

    • 68%§ (26 to 86), n = 289.
  • Adults aged > 50 years admitted to hospital with respiratory symptoms or non-localising fever (2006–09). Talbot et al (2011)

    • 57% (–44 to 87)†, n = 168 patients (2006–07).
    • 56% (–63 to 88)†, n = 68 patients (2007–08).
    • 73% (–15 to 94)†, n = 181 patients (2008–09).
  • Notes
    ACIP = Advisory Committee on Immunization Practices.
    ILI = influenza-like illness.
    § Controls tested negative for influenza but positive for other respiratory viruses.
    † Vaccine effectiveness against hospitalisation.


The Bottom Line

The more restrictive selection criteria for study inclusion used by Osterholm and colleagues led to some differences in results from the most recent Cochrane review. The new meta-analysis estimated a pooled inactivated vaccine efficacy against influenza infection in adults of 59% (95% CI 51–67), compared with estimated efficacy in healthy adults of 73% (54–84) in the Cochrane review for years when circulating and vaccine strains were well-matched and 44% (23–59) in years when they were not.

The median vaccine effectiveness of the monovalent pandemic vaccine against medically attended pH1N1 influenza was 69%, whereas in another study effectiveness was estimated to be 90% (95% CI 48–100) against hospital admission due to laboratory-confirmed pH1N1 infection. However, other studies have reported lower vaccine effectiveness for the same outcome. In Australia in 2010, when pH1N1 influenza made up 79% of documented infections, vaccine effectiveness against hospital admission was 49% (13–70). A study undertaken in the Navarra region of Spain in 2010–11 estimated vaccine effectiveness against hospital admission to be 58% (16–79) with a cohort analysis and 59% (4–83) with a test-negative design (J Castilla, Public Health Institute Navarra, Spain; personal communication).

...snip...

Now might also be an appropriate time to use revised estimates of the most probable effectiveness of influenza vaccines to re-examine the effectiveness and cost-effectiveness of some policy options. This re-examination would need to be done in conjunction with studies that, similar to the new meta-analysis of the effect of influenza vaccines, use highly specific laboratory-confirmed outcomes to assess influenza burden.

Most importantly: Always discuss healthcare issues with your doctor...not the internet.

Rusty
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    @Christian Are those the numbers you were looking for? – Rusty May 26 '12 at 13:25
  • "_Influenza vaccines do work but might not be as effective as they could be (or as advertised)._" Seriously? "**There is no evidence that they affect complications, such as pneumonia, or transmission**." How is that "working"? To me that's complete failure. IOW, the risk is not worth it - by a long shot. "_Always discuss healthcare issues with your doctor...not the internet._" The Internet seems more informed about the failures or limits of some vaccines (HPV, Hep B, influenza) than most doctors reading the same propaganda. – curiousguy Aug 25 '12 at 14:42
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From the CDC website.

Why do estimates of influenza vaccine effectiveness vary widely?

Estimates of influenza vaccine effectiveness are affected by several factors, including the specific study biases discussed above, the match between the vaccine influenza strains and the circulating strains, host factors and the sample size of a specific study. As noted above, the specificity of the outcome measured in a study has an important influence on the observed effectiveness. As more data are collected globally from annual studies that estimate effectiveness for RT-PCR confirmed influenza, it is expected that our estimates will become more refined. However, vaccine effectiveness will always vary from season to season, based upon the degree of similarity between the viruses in the vaccine and those in circulation, as well as other factors. In years when the vaccine strains are not well-matched to circulating strains, vaccine effectiveness is generally lower. In addition, host factors also affect vaccine effectiveness. In general, influenza vaccines are less effective among people with chronic medical conditions and among people age 65 and older, as compared to healthy young adults and older children.

 

Adults 65 years or older

Only one large randomized, controlled trial of influenza vaccine has been conducted among an elderly population. During the 1991-1992 influenza season, a group of Dutch people 60 years of age and older not living in long-term care facilities (e.g., nursing homes) was studied (Govaert et al., 1994). In this study, vaccine efficacy was 58% in preventing clinically-defined influenza with serologic confirmation of infection. There are no published studies of the efficacy or effectiveness of influenza vaccines in preventing laboratory-confirmed, serious outcomes of influenza such as hospitalization, primarily because the size of the study would be large, and therefore, such a study is very expensive to conduct. Published observational studies conducted among people 65 and older not living in long-term care facilities have used non-specific outcomes, such as pneumonia hospitalizations or all-cause mortality. These studies may be subject to substantial confounding and selection bias, and they use outcomes in which the proportion of illness associated with influenza virus infections vary by season (as other respiratory viruses can cocirculate). As a result, it is difficult to interpret the results of these studies.

 

Adults 65 years or older in long-term care facilities

All residents of long-term care facilities s (e.g., nursing homes) should receive annual influenza vaccination, as outbreaks of influenza can be explosive and result in substantial morbidity and mortality among residents of such facilities. There is evidence that vaccination prevents respiratory illnesses during periods of influenza circulation for elderly nursing home residents. For example, one study conducted during the 1991-1992 influenza season found that vaccination was associated with a 34% reduction in total respiratory illnesses and a 55% reduction in pneumonia during the two-week peak of influenza activity (Monto, 2001). In addition, one study conducted in UK nursing homes found that vaccinating health care workers decreased deaths during periods of influenza activity during one season with substantial influenza circulation, but not during the next year, when influenza activity was low throughout the winter (Hayward, 2006).

 

Children

In a four-year randomized, placebo-controlled study of inactivated and live influenza vaccines among children aged 1–15 years, vaccine efficacy was estimated at 77% against influenza A (H3N2) and 91% against influenza A (H1N1) virus infection (Neuzil et al., 2001). A two-year study of children aged 6–24 months found that the vaccine was 66% effective in preventing laboratory-confirmed influenza in one year of the study (Hoberman et al., 2003). Only children who were fully vaccinated (i.e., had either two doses if not previously vaccinated, or one dose if previously vaccinated) versus unvaccinated children were included in the analysis. In the other year of this study, few cases of influenza occurred, making it difficult to assess the vaccine's efficacy (Hoberman et al., 2003). Children younger than 9 years of age who have not been vaccinated previously are recommended to receive two doses of vaccine the first year they get vaccinated. In subsequent years, they need only one dose. This recommendation was made because many children younger than 9 years of age have not been infected with influenza viruses previously, and a booster dose is needed for them to produce a protective immune response.

emphasis mine in all cases

There are plenty more studies on the website but this answer is long enough already, but all studies I looked at showed vaccines were effective, though some where by fairly small margins.

Ryathal
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