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The diagnostic accuracy of pooled testing from multiple individuals for the detection of Chlamydia trachomatis and Neisseria gonorrhoeae: a systematic review.
Xu, Yangqi; Aboud, Lily; Chow, Eric P F; Mello, Maeve B; Wi, Teodora; Baggaley, Rachel; Fairley, Christopher K; Peeling, Rosanna; Ong, Jason J.
  • Xu Y; Central Clinical School, Monash University, Melbourne, Australia. Electronic address: Jason.ong@monash.edu.
  • Aboud L; Central Clinical School, Monash University, Melbourne, Australia; College of Medicine and Dentistry, James Cook University, Townsville, Australia.
  • Chow EPF; Central Clinical School, Monash University, Melbourne, Australia; Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
  • Mello MB; Global HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland.
  • Wi T; Global HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland.
  • Baggaley R; Global HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland.
  • Fairley CK; Central Clinical School, Monash University, Melbourne, Australia; Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia.
  • Peeling R; Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Ong JJ; Central Clinical School, Monash University, Melbourne, Australia; Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia; Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Int J Infect Dis ; 118: 183-193, 2022 May.
Article in English | MEDLINE | ID: covidwho-1838865
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 6,913 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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Chlamydia Infections / Gonorrhea Type of study: Diagnostic study / Reviews / Systematic review/Meta Analysis Limits: Female / Humans / Male Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Chlamydia Infections / Gonorrhea Type of study: Diagnostic study / Reviews / Systematic review/Meta Analysis Limits: Female / Humans / Male Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article