Evidence map›Paper›PMID 25229724›Full record

ArticlePloS one2014

Evaluation of differences in automated QT/QTc measurements between Fukuda Denshi and Nihon Koden systems.

Motoaki Sano, Yoshiyasu Aizawa, Yoshinori Katsumata, Nobuhiro Nishiyama, Seiji Takatsuki, Shigeo Kamitsuji, Naoyuki Kamatani, Keiichi Fukuda

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Incidence and outcomes of long QTc in acute medical admissions.International journal of clinical practice · 2018
    Observational
  8. Article
  9. Observational
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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

8 authors.

Motoaki SanoDepartment of Cardiology, Keio University School of Medicine, Tokyo, Japan.
Yoshiyasu AizawaDepartment of Cardiology, Keio University School of Medicine, Tokyo, Japan.
Yoshinori KatsumataDepartment of Cardiology, Keio University School of Medicine, Tokyo, Japan.
Nobuhiro NishiyamaDepartment of Cardiology, Keio University School of Medicine, Tokyo, Japan.
Seiji TakatsukiDepartment of Cardiology, Keio University School of Medicine, Tokyo, Japan.
Shigeo KamitsujiStaGen Co. Ltd., Tokyo, Japan.
Naoyuki KamataniStaGen Co. Ltd., Tokyo, Japan.
Keiichi FukudaDepartment of Cardiology, Keio University School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutomatic measurement becomes a preference, and indeed a necessity, when analyzing 1000 s of ECGs in the setting of either drug-inducing QT prolongation screening or genome-wide association studies of QT interval. The problem is that individual manufacturers apply different computerized algorithms to measure QT interval. We conducted a comparative study to assess the outcomes with different automated measurements of QT interval between ECG machine manufacturers and validated the related heart rate correction methods. METHODS AND

resultsHerein, we directly compared these different commercial systems using 10,529 Fukuda Denshi ECGs and 72,754 Nihon Kohden ECGs taken in healthy Japanese volunteers. Log-transformed data revealed an equal optimal heart rate correction formula of QT interval for Fukuda Denshi and Nihon Kohden, in the form of QTc = QT/RR(-0.347). However, with the raw data, the optimal heart rate correction formula of QT interval was in the form of QTc = QT+0.156×(1-RR) for Fukuda Denshi and QTc = QT+0.152×(1-RR) for Nihon Kohden. After optimization of heart rate correction of QT interval by the linear regression model using either log-transformed data or raw data, QTc interval was ∼10 ms longer in Nihon Kohden ECGs than in those recorded on Fukuda Denshi machines. Indeed, regression analysis revealed that differences in the ECG machine used had up to a two-fold larger impact on QT variation than gender difference. Such an impact is likely to be of considerable importance when ECGs for a given individual are recorded on different machines in the setting of multi-institutional joint research.

conclusionsWe recommend that ECG machines of the same manufacturer should be used to measure QT and RR intervals in the setting of multi-institutional joint research. It is desirable to unify the computer algorithm for automatic QT and RR measurements from an ECG.

Indexed as

AdultAlgorithmsElectrocardiographyFemaleHumansMaleMiddle Aged

Identifiers

PMID25229724
PMCPMC4167700

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