Reproducibility of manual platelet estimation following automated low platelet counts

Zainab S. Al-Hosni, Murtadha Al-Khabori*, Sahimah Al-Mamari, Jamal Al-Qasabi, Hiedi Davis, Hatim Al-Lawati, Arwa Z. Al-Riyami

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Objectives: Manual platelet estimation is one of the methods used when automated platelet estimates are very low. However, the reproducibility of manual platelet estimation has not been adequately studied. We sought to assess the reproducibility of manual platelet estimation following automated low platelet counts and to evaluate the impact of the level of experience of the person counting on the reproducibility of manual platelet estimates. Methods: In this cross-sectional study, peripheral blood films of patients with platelet counts less than 100 × 109/L were retrieved and given to four raters to perform manual platelet estimation independently using a predefined method (average of platelet counts in 10 fields using 100× objective multiplied by 20). Data were analyzed using intraclass correlation coefficient (ICC) as a method of reproducibility assessment. Results: The ICC across the four raters was 0.840, indicating excellent agreement. The median difference of the two most experienced raters was 0 (range: -64 to 78). The level of platelet estimate by the least-experienced rater predicted the disagreement (p = 0.037). When assessing the difference between pairs of raters, there was no significant difference in the ICC (p = 0.420). Conclusions: The agreement between different raters using manual platelet estimation was excellent. Further confirmation is necessary, with a prospective study using a gold standard method of platelet counts.

Original languageEnglish
Pages (from-to)409-413
Number of pages5
JournalOman Medical Journal
Issue number6
Publication statusPublished - Nov 2016


  • Blood platelets
  • Examination
  • Interpretation
  • Peripheral blood smear
  • Reliability

ASJC Scopus subject areas

  • General Medicine


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