the diagnostic accuracy of pooled testing from multiple individuals for the detection CORD-Papers-2022-06-02 (Version 1)

Title: The diagnostic accuracy of pooled testing from multiple individuals for the detection of Chlamydia trachomatis and Neisseria gonorrhoeae: a systematic review
Abstract: OBJECTIVES: Molecular testing for Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) is costly. Therefore we appraised the evidence regarding pooling samples from multiple individuals to test for CT/NG. METHODS: In this systematic review we searched 5 databases (2000-2021). Studies were included if they contained primary data describing pooled testing. We calculated the pooled sensitivities and specificities for CT and NG using a bivariate mixed-effects logistic regression model. RESULTS: We included 22 studies: most were conducted in high-income countries (81.8% 18 of 22) among women (73.3% 17 of 22) and pooled urine samples (63.6% 14 of 22). Eighteen studies provided 25 estimates for the meta-analysis of diagnostic accuracy with data from 6913 pooled specimens. The pooled sensitivity for CT was 98.4% (95% confidence intervals [CI]: 96.8-99.2% I2=77.5 p<0.001) and pooled specificity was 99.9% (95% CI: 99.6-100.0% I2=62.6 p<0.001). Only 2 studies reported pooled testing for NG and both reported similarly high sensitivity and specificity as for CT. Sixteen studies provided data on the cost of pooling reporting cost-savings ranging from 39%-90%. CONCLUSIONS: Pooled testing from multiple individuals for CT is highly sensitive and specific compared with individual testing. This approach has the potential to reduce the cost of screening in populations for which single anatomic site screening is recommended.
Published: 2022
Journal: Int J Infect Dis
DOI: 10.1016/j.ijid.2022.03.009
DOI_URL: http://doi.org/10.1016/j.ijid.2022.03.009
Author Name: Xu Yangqi
Author link: https://covid19-data.nist.gov/pid/rest/local/author/xu_yangqi
Author Name: Aboud Lily
Author link: https://covid19-data.nist.gov/pid/rest/local/author/aboud_lily
Author Name: Chow Eric P F
Author link: https://covid19-data.nist.gov/pid/rest/local/author/chow_eric_p_f
Author Name: Mello Maeve B
Author link: https://covid19-data.nist.gov/pid/rest/local/author/mello_maeve_b
Author Name: Wi Teodora
Author link: https://covid19-data.nist.gov/pid/rest/local/author/wi_teodora
Author Name: Baggaley Rachel
Author link: https://covid19-data.nist.gov/pid/rest/local/author/baggaley_rachel
Author Name: Fairley Christopher K
Author link: https://covid19-data.nist.gov/pid/rest/local/author/fairley_christopher_k
Author Name: Peeling Rosanna
Author link: https://covid19-data.nist.gov/pid/rest/local/author/peeling_rosanna
Author Name: Ong Jason J
Author link: https://covid19-data.nist.gov/pid/rest/local/author/ong_jason_j
license: unk
license_url: [unknown license]
source_x: Medline; WHO
source_x_url: https://www.medline.com/https://www.who.int/
pubmed_id: 35283298
pubmed_id_url: https://www.ncbi.nlm.nih.gov/pubmed/35283298
who_covidence_id: #covidwho-1838865
url: https://doi.org/10.1016/j.ijid.2022.03.009 https://www.ncbi.nlm.nih.gov/pubmed/35283298/
has_full_text: FALSE
G_ID: the_diagnostic_accuracy_of_pooled_testing_from_multiple_individuals_for_the_detection