Evidence map›Paper›PMID 34773713›Full record

ArticleJournal of clinical laboratory analysis2021

Establishment of a new protein C detection system based on chromogenic substrate assay and its clinical diagnostic value for deep vein thrombosis.

Wenfei Lu, Anshan Ge, Jinxia Zhao, Hui Rong, Chao Zhu, Limin Lun

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

6 authors at 2 institutions in 1 country.

Wenfei LuDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, China.
Anshan GeBeijing ZONCI Technology Development Co. Ltd, Beijing, China.
Jinxia ZhaoDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, China.
Hui RongBeijing ZONCI Technology Development Co. Ltd, Beijing, China.
Chao ZhuDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, China.
Limin LunDepartment of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, China.ORCID https://orcid.org/0000-0001-9543-3789
Qingdao University · CNChina Rural Technology Development Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeficiency of protein C (PC) affects the balance between blood coagulation and fibrinolysis in the human body. Chromogenic-based assay is recommended as the preferred screening method for detecting PC deficiency. We established a PC detection system based on the chromogenic substrate assay.

methodsFirst, a kit for the determination of PC activity in plasma was elaborately developed and its reaction parameters on XL-3200c were explored. Then, we evaluated its performance and collected specimens to compare the test results obtained with those of the Siemens detection system. Finally, the clinical diagnostic efficacy of this detection system for deep vein thrombosis (DVT) was assessed.

resultsOptimum conditions for PC detection were 0.25-0.1 U/ml protein C activator Protac

conclusionIn this study, a sensitive, wide linear range and reliable PC activity detection system were established.

Indexed as

BiomarkersBlood Chemical AnalysisHumansProtein CSensitivity and SpecificityVenous ThrombosisBiomarkersProtein Cchromogenic-based assaydeep venous thrombosismethod comparisonperformance evaluationprotein C

Identifiers

PMID34773713
PMCPMC8649361
OpenAlexW3214259599

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.