Evidence map›Paper›PMID 31538915›Full record

ArticleEmerging infectious diseases2019

Early Diagnosis of Tularemia by Flow Cytometry, Czech Republic, 2003-2015

Aleš Chrdle, Pavlína Tinavská, Olga Dvořáčková, Pavlína Filipová, Věra Hnetilová, Pavel Žampach, Květoslava Batistová, Václav Chmelík, Amanda E Semper, Nick J Beeching

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In one paragraph

Article in Emerging infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 7 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 7 institutions in 2 countries.

Aleš Chrdle
Pavlína Tinavská
Olga Dvořáčková
Pavlína Filipová
Věra Hnetilová
Pavel Žampach
Květoslava Batistová
Václav Chmelík
Amanda E Semper
Nick J Beeching
National Institute for Health Research · GBRoyal Liverpool University Hospital · GBUniversity of Liverpool · GBHradecký Písek (Czechia) · CZLiverpool School of Tropical Medicine · GBNemocnice České Budějovice · CZPublic Health England · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We retrospectively assessed the utility of a flow cytometry-based test quantifying the percentage of CD3+ T cells with the CD4-/CD8- phenotype for predicting tularemia diagnoses in 64 probable and confirmed tularemia patients treated during 2003-2015 and 342 controls with tularemia-like illnesses treated during 2012-2015 in the Czech Republic. The median percentage of CD3+/CD4-/CD8- T cells in peripheral blood was higher in tularemia patients (19%, 95% CI 17%-22%) than in controls (3%, 95% CI 2%-3%). When we used 8% as the cutoff, this test's sensitivity was 0.953 and specificity 0.895 for distinguishing cases from controls. The CD3+/CD4-/CD8- T cells increased a median of 7 days before tularemia serologic test results became positive. This test supports early presumptive diagnosis of tularemia for clinically suspected cases 7-14 days before diagnosis can be confirmed by serologic testing in regions with low prevalences of tularemia-like illnesses.

Indexed as

AdolescentAdultAgedAged, 80 and overCase-Control StudiesCD3 ComplexCD4-CD8 RatioChildCzech RepublicEarly DiagnosisFemaleFlow CytometryHumansMaleMiddle AgedRetrospective StudiesCD3 ComplexbacteriaCzech Republicdiagnosisdouble-negative T cellsearly diagnosisflow cytometryFrancisella tularensisgamma delta T cellsintracellular pathogensperipheral bloodROC curveT cellstularemiawork-upγδ T cells

Identifiers

PMID31538915
PMCPMC6759275
OpenAlexW2971832089

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.