Packages

Graph theme

Dataset

Data cleaning

## # A tibble: 6 x 14
##   subset autor   ano tipo_in_vivo_in… examen tipo_examen     n promedio    sd
##   <chr>  <chr> <dbl> <chr>            <chr>  <chr>       <dbl>    <dbl> <dbl>
## 1 preci… Zimm…  2017 In vivo          scann… CEREC Omni…    15     74.5  39.2
## 2 preci… Ender  2016 In vivo          scann… Cadent iTe…    15     68.1  18.9
## 3 preci… Ender  2016 In vivo          scann… 3Shape TRI…    15     47.5  21.4
## 4 preci… Ender  2016 In vivo          scann… 3Shape TRI…    15     42.9  20.4
## 5 preci… Ender  2016 In vivo          scann… CEREC Omni…    15     48.6  11.6
## 6 preci… Gan    2016 In vivo          scann… 3Shape TRI…    96     59.5  11.3
## # … with 5 more variables:
## #   subanalisis_a_tecnica_de_escaneo_del_fabricante_protocolo_interno <chr>,
## #   subanalisis_b_tipo_de_arco_superior_inferior <chr>,
## #   subanalisis_c_calidad <chr>, comentarios <chr>, validacion <chr>

PRECISION

Precision scanner

##                                          mean             95%-CI %W(random)
## Sim  -  2019  -  Carestream CS3500    34.0700 [30.0301; 38.1099]       10.5
## Ender  -  2015  -  CEREC Omnicam      35.5000 [25.5076; 45.4924]        9.4
## Ender  -  2015  -  Cadent iTero       36.4000 [17.4671; 55.3329]        7.1
## Malik  -  2018  -  CEREC Omnicam      36.5000 [26.6829; 46.3171]        9.4
## Ender  -  2016  -  3Shape TRIOS Color 42.9000 [32.5764; 53.2236]        9.3
## Ender  -  2016  -  3Shape TRIOS       47.5000 [36.6703; 58.3297]        9.2
## Ender  -  2016  -  CEREC Omnicam      48.6000 [42.7297; 54.4703]       10.2
## Malik  -  2018  -  3Shape TRIOS 3     49.9000 [33.8596; 65.9404]        7.8
## Gan  -  2016  -  3Shape TRIOS 3 POD   59.5200 [57.2616; 61.7784]       10.7
## Ender  -  2016  -  Cadent iTero       68.1000 [58.5355; 77.6645]        9.5
## Zimmermann  -  2017  -  CEREC Omnicam 74.5000 [54.6624; 94.3376]        6.9
## 
## Number of studies combined: k = 11
## 
##                         mean             95%-CI
## Random effects model 48.1001 [39.4623; 56.7380]
## 
## Quantifying heterogeneity:
##  tau^2 = 180.8012 [56.8587; 573.3893]; tau = 13.4462 [7.5405; 23.9455];
##  I^2 = 93.8% [90.8%; 95.9%]; H = 4.02 [3.29; 4.91]
## 
## Test of heterogeneity:
##       Q d.f.  p-value
##  161.75   10 < 0.0001
## 
## Details on meta-analytical method:
## - Inverse variance method
## - DerSimonian-Laird estimator for tau^2
## - Jackson method for confidence interval of tau^2 and tau
## - Untransformed (raw) means

Debido a la alta heterogeneidad (93.8%), es recomendable omitir el meta analisis de efectos aleatorios y dejar solo la predicción del intervalo de confianza de la precisión, que para los escáneres evalaudos va de 16 a 80. Si el umbral clínico es máximo 100, entonces todos están dentro del margen clínico.

Sesgo publicacion

## 
##  Linear regression test of funnel plot asymmetry
## 
## data:  precision_scanner
## t = -1.0381, df = 9, p-value = 0.3263
## alternative hypothesis: asymmetry in funnel plot
## sample estimates:
##      bias   se.bias intercept 
## -2.009667  1.935995 56.551307

Interpretación: no hay sesgo de publicación para la precisión de los scanners

Precisión impresion

##                                             mean               95%-CI
## Malik  -  2018  -  Silicona por adicion  21.7000 [ 16.9668;  26.4332]
## Malik  -  2018  -  Silicona por adicion  21.7000 [ 16.9668;  26.4332]
## Zimmermann  -  2017  -  Alginato        162.2000 [126.1179; 198.2821]
## Ender  -  2016  -  Alginato             162.2000 [126.1179; 198.2821]
## Ender  -  2016  -  Alginato             162.2000 [126.1179; 198.2821]
##                                         %W(random)
## Malik  -  2018  -  Silicona por adicion       23.8
## Malik  -  2018  -  Silicona por adicion       23.8
## Zimmermann  -  2017  -  Alginato              17.4
## Ender  -  2016  -  Alginato                   17.4
## Ender  -  2016  -  Alginato                   17.4
## 
## Number of studies combined: k = 5
## 
##                         mean              95%-CI
## Random effects model 95.2041 [66.3804; 124.0278]
## 
## Quantifying heterogeneity:
##  tau^2 = 901.2828 [1114.9481; >41385.4084]; tau = 30.0214 [33.3908; >203.4340];
##  I^2 = 97.7% [96.3%; 98.5%]; H = 6.53 [5.17; 8.23]
## 
## Test of heterogeneity:
##       Q d.f.  p-value
##  170.34    4 < 0.0001
## 
## Details on meta-analytical method:
## - Inverse variance method
## - DerSimonian-Laird estimator for tau^2
## - Jackson method for confidence interval of tau^2 and tau
## - Untransformed (raw) means

Sesgo publicacion

VERACIDAD

Veracidad scaners

##                                        mean             95%-CI %W(random)
## Malik  -  2018  -  3Shape TRIOS 3   87.1000 [80.1755; 94.0245]       16.7
## Gan  -  2016  -  3Shape TRIOS 3 POD 80.0100 [76.4533; 83.5667]       16.9
## Ender  -  2015  -  Cadent iTero     32.4000 [26.1767; 38.6233]       16.8
## Sim  -  2019  -  Carestream CS3500  28.0900 [26.6279; 29.5521]       16.9
## Malik  -  2018  -  CEREC Omnicam    80.3000 [69.6941; 90.9059]       16.5
## Ender  -  2015  -  CEREC Omnicam    37.3000 [24.7657; 49.8343]       16.3
## 
## Number of studies combined: k = 6
## 
##                         mean             95%-CI
## Random effects model 57.5296 [31.2901; 83.7691]
## 
## Quantifying heterogeneity:
##  tau^2 = 1059.4818 [297.1007; 6432.5742]; tau = 32.5497 [17.2366; 80.2033];
##  I^2 = 99.5% [99.3%; 99.6%]; H = 13.93 [12.28; 15.79]
## 
## Test of heterogeneity:
##       Q d.f.  p-value
##  969.75    5 < 0.0001
## 
## Details on meta-analytical method:
## - Inverse variance method
## - DerSimonian-Laird estimator for tau^2
## - Jackson method for confidence interval of tau^2 and tau
## - Untransformed (raw) means

Sesgo publicacion

muy pocos estudios para hacer el análisis de meta bias (sesgo de publicación)

Veracidad impresion

##                                            mean             95%-CI %W(random)
## Ender  -  2015  -  Alginato             37.7000 [ 7.1094; 68.2906]        1.0
## Sim  -  2019  -  Polivinilsiloxano      28.4900 [27.2843; 29.6957]       72.7
## Malik  -  2018  -  Silicona por adicion 24.3000 [19.3038; 29.2962]       26.2
## 
## Number of studies combined: k = 3
## 
##                         mean             95%-CI
## Random effects model 27.4842 [24.3776; 30.5909]
## 
## Quantifying heterogeneity:
##  tau^2 = 3.0755 [0.0000; >100.0000]; tau = 1.7537 [0.0000; >10.0000];
##  I^2 = 31.5% [0.0%; 92.9%]; H = 1.21 [1.00; 3.75]
## 
## Test of heterogeneity:
##     Q d.f. p-value
##  2.92    2  0.2324
## 
## Details on meta-analytical method:
## - Inverse variance method
## - DerSimonian-Laird estimator for tau^2
## - Jackson method for confidence interval of tau^2 and tau
## - Untransformed (raw) means

Aquí si se puede hacer un ma debido a que la heterogeneidad es baja

Sesgo publicacion

muy pocos estudios para hacer el análisis de meta bias (sesgo de publicación)