4. False negatives for non‐falciparum and P. vivax by RDT type.
| Study | Test | Number of false negatives | % false negatives indicating 'no malaria' | % false negatives indicating 'P. falciparum' |
| Type 2 tests | ||||
| Ashton 2010 | ICT Combo | 37 | 22 | 78 |
| Bell 2001a | ICT Malaria trial 1 | 16 | 13 | 88 |
| Bell 2001b | ICT Malaria trial 2 | 6 | 67 | 33 |
| Fernando 2004 | ICT Malaria Pf/Pv | 29 | 100 | 0 |
| Harani 2006 | ICT Malaria Pf/Pv | 3 | 67 | 33 |
| Singh 2000a | ICT Malaria Pf/Pv | 13 | 62 | 38 |
| Singh 2010 | Malascan | 18 | 67 | 33 |
| Tjitra 1999 | ICT Malaria Pf/Pv | 8 | 75 | 25 |
| van den Broek 2006 | NOW malaria ICT | 72 | 67 | 33 |
| Wongsrichanalai 2003 | ICT Malaria Pf/Pv | 9 | 67 | 33 |
| van den Broek 2006 | OptiMAL‐IT | 34 | 74 | 26 |
| Median (range) | 67 (13 to 100) | 33 (0 to 88) | ||
| Pooled estimate (95% CI)* | 65 (43 to 81) | 35 (19 to 57) | ||
| Type 3 tests | ||||
| Ashton 2010 | Carestart | 37 | 22 | 78 |
| Ashton 2010 | Parascreen | 43 | 14 | 86 |
| Bendezu 2010 | Parascreen | 19 | 84 | 16 |
| Bharti 2008 | First response | 7 | 100 | 0 |
| Dev 2004 | Diamed OptiMAL | 3 | 100 | 0 |
| Eibach 2013 | CareStart | 3 | 100 | 0 |
| Elahi 2013 | Parascreen | 5 | 60 | 40 |
| Kosack 2013 | SD Bioline | 133 | 89 | 11 |
| Moges 2012 | Carestart | 38 | 89 | 11 |
| Ratsimbasoa 2007 | SD Malaria Antigen Bioline | 4 | 100 | 0 |
| Singh 2010 | Parascreen | 13 | 54 | 46 |
| Singh 2010 | First response | 9 | 33 | 67 |
| Singh 2010 | ParaHIT Total | 48 | 92 | 8 |
| Trouvay 2013 | SD Malaria Ag Pf/Pan | 18 | 78 | 22 |
| Yan 2013 | Pf/Pan Device | 24 | 25 | 75 |
| Median (range) | 84 (14 to 100) | 16 (0 to 86) | ||
| Pooled estimate (95% CI) | 74 (52 to 88) | 26 (12 to 48) | ||
| Type 4 tests | ||||
| Andrade 2010 | OptiMAL‐IT | 0 | 0 | 0 |
| Chayani 2004 | OptiMAL | 3 | 100 | 0 |
| Dev 2004 | SD Malaria | 2 | 100 | 0 |
| Kolaczinski 2004 | OptiMAL | 23 | 100 | 0 |
| Metzger 2011 | OptiMAL‐IT | 30 | 100 | 0 |
| Pattanasin 2003 | OptiMAL‐IT | 26 | 65 | 35 |
| Ratsimbasoa 2007 | OptiMAL‐IT | 2 | 100 | 0 |
| Ratsimbasoa 2007 | Carestart Malaria | 3 | 33 | 67 |
| Singh 2003 | OptiMAL (field) | 0 | 0 | 0 |
| Soto Tarazona 2004 | OptiMAL | 3 | 100 | 0 |
| Valecha 2003 | OptiMAL | 13 | 77 | 23 |
| Median (range) | 100 (0 to 100) | 0 (0 to 67) | ||
| Pooled estimate (95% CI) | 87 (79 to 92) | 13 (8 to 21) | ||
*The pooled estimates of the percentage of false negatives indicating 'no malaria' and the percentage of false negatives indicating 'P. falciparum' were computed by using a random effects logistic regression model for Type 2 and Type 3. A fixed effects logistic regression model was used for Type 4.
This table shows participants with non‐falciparum malaria monoinfection identified by microscopy who were negative by non‐falciparum monoinfection by RDT, by whether the RDT incorrectly identified the participant as not having malaria, or as having P. falciparum malaria.