Evidence map›Paper›PMID 32082915›Full record

ArticleTurk gogus kalp damar cerrahisi dergisi2019

Utility of platelet-to-lymphocyte ratio to support the diagnosis of acute deep vein thrombosis.

Yusuf Velioğlu, Ahmet Yüksel

Open access · bronzeAbstract read
In one paragraph

Article in Turk gogus kalp damar cerrahisi dergisi, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Yusuf VelioğluDepartment of Cardiovascular Surgery, Abant İzzet Baysal University Faculty of Medicine, Bolu, Turkey.
Ahmet YükselDepartment of Cardiovascular Surgery, Abant İzzet Baysal University Faculty of Medicine, Bolu, Turkey.
Bolu Abant İzzet Baysal University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to investigate whether routine complete blood count parameters such as the mean platelet volume, red cell distribution width, white blood cell and platelet counts, and novel inflammatory biomarkers such as platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio could be used as the predictors of acute deep vein thrombosis.

methodsThis retrospective study included a total of 68 patients (29 males, 39 females; mean age 55.2±1.6 years; range, 22 to 80 years) with acute lower extremity deep vein thrombosis and 34 healthy controls (15 males, 19 females; mean age 52.8±2.5 years; range, 21 to 77 years) without acute lower extremity deep vein thrombosis between March 2016 and August 2018. Demographic and clinical characteristics of the participant and laboratory data including complete blood count parameters were recorded. Univariate and multivariate analyses were used to identify significant predictors of deep vein thrombosis.

resultsDemographic and clinical characteristics were similar between the groups. According to the univariate analysis, platelet count and red cell distribution width were found to be significantly higher in the patient group compared to the control group. However, the red cell distribution width was not considered a significant predictor of acute deep vein thrombosis. According to the multivariate logistic regression analysis, the platelet-to-lymphocyte ratio and platelet count were significant predictors of acute deep vein thrombosis.

conclusionOur study results show that the platelet-tolymphocyte ratio may be a useful biomarker to support the diagnosis of acute deep vein thrombosis.

Indexed as

Acute deep vein thrombosiscomplete blood count parametersplatelet countplatelet-to-lymphocyte ratio

Identifiers

PMID32082915
PMCPMC7018159
OpenAlexW2997271454

What OpenQuestion holds

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Registered trials

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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.