Table 1.
The table displays for each included study.
Study | Disease | Sensor | Case | Control | Sensitivity | Specificity |
---|---|---|---|---|---|---|
Mommers [26], 2020 | Aneurysm and recurrent hernia | Metal-oxide | 64 a | 74 | 0.81 | 0.73 |
Wong [27], 2019 | Appendicitis | Conductive polymer | 5 | 45 | 0.8 | 0.8 |
Montuschi [28], 2010 | Asthma | Quartz microbalances | 30 | 21 | 0.87 | 0.95 |
Barash [29], 2015 | Breast cancer | Gold nanoparticles and carbon nanotubes | 169 | 82 | 0.88 | 0.83 |
Yang [5], 2021 | Breast cancer | Carbon nanotubes | 70 b | 18 a | 0.86 b | 0.97 b |
Fielding [30], 2020 | Bronchial and laryngeal cancer | Carbon nanotubes | 42 | 13 | 0.95 | 0.69 |
Amal [6], 2016 | Colorectal cancer | Gold nanoparticles and carbon nanotubes | 20 b | 36 b | 0.94 b | 0.91 b |
Shafiek [31], 2015 | COPD | Carbon nanotubes | 124 | 30 | 0.69 | 0.75 |
Binson [10], 2021 | COPD and lung cancer | Metal-oxide | 70 | 144 | 0.81 | 0.94 |
Welearegay [32], 2018 | Cutaneous leishmaniasis | Metal nanoparticles | 28 a | 28 | 0.96 | 1 |
Welearegay [33], 2019 | Echinococcosis | Metal nanoparticles | 36 | 40 | 0.97 | 0.98 |
van Dartel [34], 2020 | Epilepsy | Metal-oxide | 74 | 110 | 0.76 | 0.67 |
Broza [8], 2019 | Gastric cancer | Gold nanoparticles | 102 | 1065 | 0.82 | 0.79 |
Xu [35], 2013 | Gastric cancer | Gold nanoparticles and carbon nanotubes | 37 | 93 | 0.89 | 0.9 |
Leja [36], 2021 | Gastric cancer | Gold nanoparticles | 47 | 105 | 0.92 | 0.86 |
Umapathy [37], 2019 | Haemodialysis | Metal-oxide | 21 | 17 | 0.86 | 0.29 |
Gruber [38], 2014 | Head and neck cancer | Nanomaterial-based sensor | 22 | 19 | 0.77 | 0.9 |
Leunis [39], 2014 | Head and neck cancer | Metal-oxide | 36 | 23 | 0.9 | 0.8 |
Hakim [9], 2011 | Head-and-neck cancer and lung cancer | Gold nanoparticles | 36 a | 52 | 1 | 0.92 |
Finamore [40], 2018 | Heart failure | Quartz microbalances | 30 b | 39 b | 0.8 b | 0.82 b |
Moor [11], 2021 | Interstitial lung disease | Metal-oxide | 322 | 48 | 1 | 1 |
De Vincentis [12], 2016 | Liver cirrhosis | Quartz microbalances | 58 | 56 | 1 | 0.98 |
Zaim [41], 2021 | Liver cirrhosis | WO3 nanowires | 22 | 32 | 0.97 | 1 |
Gasparri [42], 2016 | Lung cancer | Quartz microbalances | 72 | 74 | 0.88 | 1 |
Huang [4], 2018 | Lung cancer | Carbon nanotubes | 56 | 188 | 0.92 | 0.93 |
Hubers [43], 2014 | Lung cancer | Carbon nanotubes | 38 | 39 | 0.87 | 0.43 |
Kononov [44], 2020 | Lung cancer | Metal-oxide | 19 b | 17 b | 0.95 b | 1 b |
Rocco [45], 2016 | Lung cancer | Quartz microbalances | 23 | 77 | 0.86 | 0.95 |
Shlomi [46], 2017 | Lung cancer | Gold nanoparticles and carbon nanotubes | 16 | 30 | 0.75 | 0.93 |
Tan [47], 2016 | Lung cancer | Metal-oxide | 12 | 13 | 0.83 | 0.88 |
Broza et al. [48], 2017 | Multiple sclerosis | Gold nanoparticles | 128 | 58 | 0.76 | 0.81 |
Nakhleh et al. [49], 2015 | Parkinson’s disease | Gold nanoparticles and carbon nanotubes | 16 | 37 | 0.81 | 0.76 |
Ionescu et al. [50], 2011 | Multiple sclerosis | Polycyclic aromatic hydrocarbons and single-wall carbon nanotubes | 34 | 17 | 0.85 | 0.71 |
Amal et al. [51], 2015 | Ovarian cancer | Gold nanoparticles and carbon nanotubes | 48 | 48 | 0.85 | 0.65 |
Raspagliesi et al. [7], 2020 | Ovarian cancer | Metal-oxide | 86 | 114 | 0.98 | 0.95 |
Yang et al. [52], 2018 | Pneumoconiosis | Carbon nanotubes | 34 | 64 | 0.68 | 0.84 |
Nakhleh et al. [53], 2016 | Preeclampsia | Gold nanoparticles | 31 | 31 | 0.92 | 0.91 |
Broza et al. [54], 2018 | Rhinosinusitis | Gold nanoparticles and carbon nanotubes | 17 | 30 | 0.76 | 0.8 |
Zamora-Mendoza et al. [55], 2022 | SARS-CoV-2 | Carbon nanotubes | 42 | 30 | 0.97 | 1 |
Shan et al. [14], 2020 | SARS-CoV-2 | Gold nanoparticles | 41 | 57 | 1 | 0.81 |
Wintjens et al. [56], 2020 | SARS-CoV-2 | Metal-oxide | 57 | 162 | 0.86 | 0.54 |
Tsai et al. [57], 2021 | Small airway dysfunction | Carbon nanotubes | 12 | 60 | 0.92 | 0.95 |
Chen et al. [13], 2020 | Ventilator-associated pneumonia | Carbon nanotubes | 33 | 26 | 0.72 | 0.77 |
Schnabel et al. [58], 2015 | Ventilator-associated pneumonia | Metal-oxide | 33 | 53 | 0.88 | 0.66 |
a Included data from the model for two disease outcomes. b Data derived from a test database.