Evidence map›Paper›PMID 26793025›Full record

ArticleContemporary oncology (Poznan, Poland)2015

Thrombotic risk assessment in 185 WHO-defined essential thrombocythemia patients: single center experience.

Ruta Dambrauskiene, Rolandas Gerbutavicius, Elona Juozaityte, Rima Gerbutaviciene

Open access · goldAbstract read
In one paragraph

Article in Contemporary oncology (Poznan, Poland), 2015. 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 36% 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, 3 citations in OpenAlex.

  1. Review
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

4 authors at 1 institution in 1 country.

Ruta DambrauskieneDepartment of Haematology, Institute of Oncology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Rolandas GerbutaviciusDepartment of Haematology, Institute of Oncology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Elona JuozaityteDepartment of Oncology, Institute of Oncology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Rima GerbutavicieneDepartment of DrugTechnology and Social Pharmacy, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Lithuanian University of Health Sciences · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thrombosis risk in essential thrombocythemia (ET) patients can be assessed using different prognostic systems. Conventional risk factors include age more than 60 years and history of previous thrombosis. In addition, other factors such as JAK2 V617F mutations, cardiovascular risk factors, leukocytosis more than 11 × 10(9)/l, thrombophilic factors and platelet count more than 1500 × 10(9)/l are used in different hematology centers as high-risk features for thrombosis. Our study compared different risk model groups for thrombosis in 185 WHO-defined ET patients at the Hospital of Lithuanian University of Health Sciences Kaunas Klinikos. We found that patient distribution in low, intermediate- and high-risk groups varies using different risk stratification models. The biggest difference in risk assignment is evident in patients who are older than 60 years and have no other risk factors and in patients who are younger than 60 years but have other risk factors. This observation suggests that new prospective randomized clinical trials are needed to better stratify patients at risk for thrombosis.

Indexed as

chronic myeloproliferative neoplasmsessential thrombocythemiaplateletsthrombosis

Identifiers

PMID26793025
PMCPMC4709397
OpenAlexW2319213617

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.