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. 2016 Dec 12;11(12):e0166736. doi: 10.1371/journal.pone.0166736

Table 2. Characteristics of studies reviewed with pneumococcal pneumonia as endpoint.

First Author, year Country$ Vaccine Study design Case definition Data source Age * groups Years of baseline data Baseline measure (Rates p. 100,000) Years of post PCV introduction data Percent change/effectiveness Statistical Significance (95% CI or p-value)
Afonso, 2013 [25] Brazil (5 capitals) PCV-10 Interrupted time series ICD10 codes J12-18 Secondary Hospitalization Data 2-24m Jan05-Aug11 Belo Horizonte 164.3 1 40 27.4–50.9
Curitiba 79.0 37.6 22.7–49.6
Recife 130.4 49.3 33.1-61-6
São Paulo 124.7 13.4 -1.42–26.02
Porto Alegre 29.1 23.5 -0.2–41.6
Suarez, 2016 [24] Peru PCV-10 Interrupted time series ICD10 codes J12-18 –(inpatients and outpatients) Secondary Data <12m Jan06-Dec08 58.0 2 20.6 10.9–29.5
Death due to pneumonia (ICD10 codes J12-18) 8 2 35.0 8.6–53.8
Becker-Dreps, 2013 [33], 2014[21] Nicaragua (León Department) PCV-13 Interrupted time series X-ray confirmed pneumonia Hospital population based surveillance <12m Jan08-Dec10 6440& 2 33 25–41
12-23m 2490& 26 19–33
24-59m 27 19–34
Diaz, 2016 [22] Chile PCV-10 Nested case control ICD10 codes J13-18 Secondary Hospitalization Data 2-23m 2010/2012#a 13,210 cases and 52,840 controls 2#b 20.7 17.3–23.8
Death due to pneumonia (ICD10 codes J13-18) Secondary Hospitalization Data 2-23m 2010–11#a 36 cases and 144 controls 2#b 71.5 9–91.8
Hortal, 2014 [17] Uruguay (2 municipalities) PCV-13 Before-after X-ray confirmed pneumonia Hospital population based surveillance <12m 2001–2004 2604& 4 8.8 NS
12-23m 2383& 37.8 <0.001
24-35m 1349& 24 <0.05
<60m 1542& 20.4 <0.001
Hortal, 2014 [34], 2015 [18] & Uruguay (2 municipalities) PCV-13 Cohort X-ray confirmed pneumonia Hospital population based surveillance 0-35m 2010#a 1048& vaccinated; 5679& non vaccinated 3#b 84.6 NR
Sgambatti, 2014 [28], 2016 [35] Brazil (Goiania municipality) PCV-10 Before-after X-ray confirmed pneumonia Hospital based surveillance <12m 2007–2009 678.8 3 25.3 24.6–26.1
12-23m 480.2 25.1 24–26
24-35m 240.8 11.9 11.3–12.7
Clinical pneumonia
<12m 287.1 12.6 12.3–12.9
12-23m 215.1 14.2 13.7–14.6
24-35m 100.9 7.4 7.1–7.8
Scotta, 2014 [27], Pinto, 2013, [36] Brazil PCV-10 Before-after ICD10 codes J12-J18 Secondary Hospitalization Data <12m 2002–2009 2 10.4 NR
12-35m 14.2 NR
<48m 2800& 12.7 NR
Gentile, 2014 [38], 2015 [30], 2015 [37] Argentina (Pilar municipality) PCV-13 Before-after X-ray confirmed pneumonia (inpatients and outpatients) Hospital population based surveillance <12m 2003–2005 1922& 1 44.6 24.6–59.3
12-23m 931& 57.9 31.1–74.2
24-59m 321& 18.8 NS
<60m 750& 39.6 25.0–51.3
Gaiano; 2013 [29], Vizzotti, 2014 [39], 2014 [40] Argentina PCV-13 Before-after Clinical pneumonia—(inpatients and outpatients) Secondary data <12m 2011 2880 1 28.06 26.5–29.6
12-24m 2370 30.34 28.9–31.8
Rearte, 2015 [31] ABSTRACT ONLY Argentina (Concordia municipality) PCV-13 Before-after X-day confirmed pneumonia (inpatients and outpatients) Hospital population based surveillance <60m 2002–2005 732 1 50.7 33–64
Andrade, 2015 [26] POSTER ONLY Brazil PCV-10 Interrupted time series ICD-10 codes J12-J18 Secondary Hospitalization Data 2-23m 2005–2009 Not shown 3 16.6 1.0–32.1 -
2-11m 13.6 20 3.0–24.3 2.3
12-23m 20.2 381 0.7
24-60m 14.4 28.1
Minamisava et al., 2014 [23] ABSTRACT ONLY Brazil PCV-10 Interrupted time series Death due to pneumonia (ICD10 codes J12-J18) Mortality Information System 2-23m 2005–2009 Not shown 2 15.5 -7.2–38.2

* Age groups with results of interest for this study; # VT-PCV-13; & rates per person-years

$: When not specified otherwise, country of study refers to nationwide data.

#a: Start of case detection

#b: duration of follow-up/case detection

&: This study reports on the same data/study population as the above (Hortal, 2014) [17] using different study method and considering 2010–2013 as opposed to 2009–2012 post–vaccine period data in the analysis