Comparison of PCR and microscopy for the detection of asymptomatic malaria in a Plasmodium falciparum/vivax endemic area in Thailand
2006

Comparing PCR and Microscopy for Detecting Malaria in Thailand

Sample size: 672 publication Evidence: high

Author Information

Author(s): Coleman Russell E, Sattabongkot Jetsumon, Promstaporm Sommai, Maneechai Nongnuj, Tippayachai Bousaraporn, Kengluecha Ampornpan, Rachapaew Nattawan, Zollner Gabriela, Miller Robert Scott, Vaughan Jefferson A, Thimasarn Krongtong, Khuntirat Benjawan

Primary Institution: U.S. Army Medical Component, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand

Hypothesis

How does the performance of nested PCR compare to expert microscopy in detecting Plasmodium parasites during active malaria surveillance?

Conclusion

PCR is a more sensitive method for detecting Plasmodium parasites compared to microscopy, especially at low parasite densities.

Supporting Evidence

  • PCR was sensitive (96%) and specific (98%) for malaria at high parasite densities.
  • Performance of PCR decreased markedly at low parasite densities.
  • Microscopy showed poor performance at low parasite densities, affecting the comparison with PCR.

Takeaway

This study looked at two ways to find malaria in people: one way is like looking through a magnifying glass (microscopy), and the other is like using a super-smart robot (PCR). The robot is better at finding tiny bits of malaria when there aren't many around.

Methodology

The study involved taking blood samples from individuals in a village and comparing the results of PCR and microscopy in detecting malaria parasites.

Potential Biases

Potential bias due to the subjective nature of microscopy and the varying experience of microscopists.

Limitations

The study's reliance on microscopy as a reference standard may have affected the accuracy of results.

Participant Demographics

Participants included adults and children from a malaria-endemic village in Thailand, with a mean age of 22.1 years.

Statistical Information

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1475-2875-5-121

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication