Evidence map›Paper›PMID 16720551›Full record

ReviewInternational journal of hematology2006

Genetic risk factors for deep vein thrombosis among Japanese: importance of protein S K196E mutation.

Toshiyuki Miyata, Rina Kimura, Yoshihiro Kokubo, Toshiyuki Sakata

Abstract readReview
PubMed Publisher
In one paragraph

Review in International journal of hematology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

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  14. Pediatric thromboembolism: a national survey in Japan.International journal of hematology · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Toshiyuki MiyataResearch Institute, National Cardiovascular Center, Suita, Osaka, Japan. miyata@ri.ncvc.go.jp
Rina Kimura
Yoshihiro Kokubo
Toshiyuki Sakata
National Cerebral and Cardiovascular Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is mounting evidence that mutations associated with a given disease arise with different frequencies among ethnic groups, thus ethnicity-specific studies are needed to identify causative mutations and properly assess risk. In particular, ethnic differences in the genetic background of thrombophilia have been reported. We recently conducted a large-scale analysis of the plasma activities of proteins C, S, antithrombin, and plasminogen within the Japanese general population. We found age- and sex-related differences and estimated the prevalence of deficiencies of protein C (0.13%), antithrombin (0.15%), protein S (1.12%), and plasminogen (4.29%). We also evaluated the genetic contribution to deep vein thrombosis and found that protein S mutation K196E is a genetic risk factor in the Japanese population. We estimated allele frequency to be 0.009, suggesting that 1 of 12,000 Japanese may be homozygous for the E allele, thus possibly as many as 10,000 individuals. Accordingly, a substantial proportion of the Japanese population carries the protein S E allele and is at risk of developing deep vein thrombosis. Given the frequency of this mutation and its strong correlation with deep vein thrombosis, it may be valuable to conduct a large-scale screening for this allele and advise concerned persons to avoid environmental risk factors known to be associated with deep vein thrombosis.

Indexed as

AllelesAmino Acid SubstitutionAsian PeoplePoint MutationAge FactorsFemaleHumansJapanMaleProtein SRisk FactorsSex FactorsVenous ThrombosisProtein S

Identifiers

PMID16720551
OpenAlexW2039231975

What OpenQuestion holds

Textmetadata
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.