Evidence map›Paper›PMID 31581728›Full record

ArticleJournal of clinical medicine2019

The White Blood Cell Count to Mean Platelet Volume Ratio for the Prediction of Chronic Limb-Threatening Ischemia in Lower Extremity Artery Disease.

Katharina Guetl, Reinhard Bernd Raggam, Viktoria Muster, Paul Gressenberger, Jovan Vujic, Alexander Avian, Franz Hafner, Martin Wehrschuetz, Marianne Brodmann, Thomas Gary

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 14 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

10 authors at 1 institution in 1 country.

Katharina GuetlDivision of Vascular Medicine, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria. katharina.guetl@medunigraz.at.
Reinhard Bernd RaggamDivision of Vascular Medicine, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria. reinhard.raggam@medunigraz.at.
Viktoria MusterDivision of Vascular Medicine, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria. viktoria.muster@medunigraz.at.
Paul GressenbergerDivision of Vascular Medicine, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria. paul.gressenberger@medunigraz.at.
Jovan VujicDivision of Vascular Medicine, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria. jovanvuj@gmail.com.
Alexander AvianInstitute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8036 Graz, Austria. alexander.avian@medunigraz.at.
Franz HafnerDivision of Vascular Medicine, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria. franz.hafner@medunigraz.at.
Martin WehrschuetzDepartment of Radiology, Medical University of Graz, 8036 Graz, Austria. martin.wehrschuetz@gmail.com.
Marianne BrodmannDivision of Vascular Medicine, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria. marianne.brodmann@medunigraz.at.
Thomas GaryDivision of Vascular Medicine, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria. thomas.gary@medunigraz.at.
Medical University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

methodsThis study was performed as a retrospective analysis on 2121 patients with a diagnosis of LEAD. Patients were admitted to the hospital for the reason of LEAD and received conservative or endovascular treatment. Blood sampling, in order to obtain the required values for this analysis, was implemented at admission. Statistical analysis was conducted by univariate regression in a first step and, in case of significance, by multivariate regression additionally.

resultsMultivariate regression revealed an increased WMR (

conclusionsThe WMR presents an easily obtainable and cost-effective parameter to identify LEAD patients at high risk for CLTI.

Indexed as

atherosclerosischronic limb-threatening ischemialower extremity artery diseaseperipheral arterial diseaseplateletswhite blood cells

Identifiers

PMID31581728
PMCPMC6832925
OpenAlexW2978204518

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.