Evidence map›Paper›PMID 35751410›Full record

ArticleInternational journal of laboratory hematology2022

The diagnostic accuracy of Sysmex XN for identification of pseudothrombocytopenia using various thresholds for definition of platelet aggregation.

Hanne Elisabeth Lunde, Agnete Nyborg Hjelmtvedt, Erik Koldberg Amundsen

Open access · hybridAbstract read
In one paragraph

Article in International journal of laboratory hematology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Comparison of Blood Cell Count Results Between MgSOInternational journal of laboratory hematology · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Hanne Elisabeth LundeLovisenberg Diaconal Hospital, Laboratory of Biomedical Science, Oslo, Norway.
Agnete Nyborg HjelmtvedtLovisenberg Diaconal Hospital, Laboratory of Biomedical Science, Oslo, Norway.
Erik Koldberg AmundsenDepartment of Life Sciences and Health, Oslo Metropolitan University, Oslo, Norway.ORCID https://orcid.org/0000-0002-6323-9559
Oslo University Hospital · NOOsloMet – Oslo Metropolitan University · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aim of this study was to investigate the diagnostic accuracy of the flag PLT-Clumps from the WNR/WDF and the PLT-F channels from Sysmex XN and to study how different cut-offs for investigation for pseudothrombocytopenia (PTCP) and the definition of platelet aggregation affected the diagnostic accuracy.

methodsA smear review was performed for samples with platelet count <150 × 10

resultsROC analysis showed that the diagnostic accuracy of the PLT-clumps flags increased with increasing stringency of the definition of platelet aggregation and when only samples with thrombocytopenia were investigated. With the most stringent PTCP definitions, the diagnostic accuracy of the PLT-Clumps flag from PLT-F was very high (AUC 0.97-0.98) and markedly better than for WNR/WDF.

conclusionThe diagnostic accuracy of PLT-F from Sysmex XN-20 for identification of PTCP was very good and superior to the WNDR/WDF channel in samples with platelet count <150 × 10

Indexed as

Platelet AggregationThrombocytopeniaHumansPlatelet Counthematology instrument flagplatelet aggregationplateletspseudothrombocytopeniaSysmex

Identifiers

PMID35751410
PMCPMC9545299
OpenAlexW4283514355

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.