Evidence map›Paper›PMID 38974938›Full record

ArticlePractical laboratory medicine2024

Unified calibration of D-dimer can improve the uniformity of different detection systems.

Kun Wang, Xinwei Zang, Wenjie Zhang, Xiangyu Cao, Huiru Zhao, Chunyan Li, Cuiying Liang, Jun Wu

Erratum issuedAbstract read
In one paragraph

Article in Practical laboratory medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Kun WangDepartment of Clinical Laboratory, Beijing Jishuitan Hospital, Capital Medical University, Beijing, 100035, China.
Xinwei ZangDepartment of Clinical Laboratory, Beijing Jishuitan Hospital, Capital Medical University, Beijing, 100035, China.
Wenjie ZhangDepartment of Clinical Laboratory, Beijing Jishuitan Hospital, Capital Medical University, Beijing, 100035, China.
Xiangyu CaoDepartment of Clinical Laboratory, Beijing Jishuitan Hospital, Capital Medical University, Beijing, 100035, China.
Huiru ZhaoDepartment of Clinical Laboratory, Beijing Jishuitan Hospital, Capital Medical University, Beijing, 100035, China.
Chunyan LiDepartment of Clinical Laboratory, Beijing Jishuitan Hospital, Capital Medical University, Beijing, 100035, China.
Cuiying LiangDepartment of Clinical Laboratory, Peking University Fourth School of Clinical Medicine, Beijing, 100035, China.
Jun WuDepartment of Clinical Laboratory, Beijing Jishuitan Hospital, Capital Medical University, Beijing, 100035, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: D-dimer at a low level is important evidence for excluding the onset and progression of thrombosis. It is readily detectable and yields rapid results, although significant variability exists among different detection systems. Our study aims to enhance the consistency across various detection systems. Methods: Twelve detection systems were included in our study. We sought to address this inconsistency by using various calibrators (two supplied by manufacturers and two comprising pooled human plasma diluted with different diluents) to standardize D-dimer measurements. We categorized the data into three groups according to D-dimer concentration levels: low (≤0.5 mg/L), medium (>0.5 mg/L - <3 mg/L), and high (≥3 mg/L). We then analyzed the data focusing on range, consistency, comparability, negative coincidence rate, and false negative rate. Results: Calibrating with pooled human plasma led to narrower result ranges in the low and medium groups (P < 0.05). In the low group, consistency improved from weak to strong (ICC 0.4-0.7, P﹤0.05), while it remained excellent in the other groups and overall (ICC﹥0.75, P﹤0.05). The percentage of pairwise comparability increased in both the low and high groups. Additionally, there was an increase in the negative coincidence rate. Conclusion: These findings demonstrate that uniform calibration of D-dimer can significantly enhance the consistency of results across different detection systems.

Indexed as

CalibrationD-dimerHuman plasmaStandardization

Identifiers

PMID38974938
PMCPMC11225007

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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.