Evidence map›Paper›PMID 35404009›Full record

ArticleInfectious diseases and therapy2022

Evaluation of the Dynamiker

Maria Siopi, Stamatis Karakatsanis, Christoforos Roumpakis, Konstantinos Korantanis, Elina Eldeik, Helen Sambatakou, Nikolaos V Sipsas, Maria Pagoni, Maria Stamouli, Panagiotis Tsirigotis and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Infectious diseases and therapy, 2022. 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
1.3field-weighted citation impact, top 19% 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, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

11 authors at 3 institutions in 1 country.

Maria SiopiClinical Microbiology Laboratory, Attikon University General Hospital, Medical School, National and Kapodistrian University of Athens, Rimini 1, Chaidari, 12462, Athens, Greece.
Stamatis KarakatsanisDepartment of Hematology and Lymphoma-Unit of Bone Marrow Transplantation, Evangelismos General Hospital, 10676, Athens, Greece.
Christoforos Roumpakis2nd Department of Internal Medicine, Hematology Unit, Attikon University General Hospital, Medical School, National and Kapodistrian University of Athens, 12462, Athens, Greece.
Konstantinos KorantanisPathophysiology Department, Laiko General Hospital, Medical School, National and Kapodistrian University of Athens, 11527, Athens, Greece.
Elina Eldeik2nd Department of Internal Medicine, Hippokration General Hospital, 11527, Athens, Greece.
Helen Sambatakou2nd Department of Internal Medicine, Hippokration General Hospital, 11527, Athens, Greece.
Nikolaos V SipsasPathophysiology Department, Laiko General Hospital, Medical School, National and Kapodistrian University of Athens, 11527, Athens, Greece.
Maria PagoniDepartment of Hematology and Lymphoma-Unit of Bone Marrow Transplantation, Evangelismos General Hospital, 10676, Athens, Greece.
Maria Stamouli2nd Department of Internal Medicine, Hematology Unit, Attikon University General Hospital, Medical School, National and Kapodistrian University of Athens, 12462, Athens, Greece.
Panagiotis Tsirigotis2nd Department of Internal Medicine, Hematology Unit, Attikon University General Hospital, Medical School, National and Kapodistrian University of Athens, 12462, Athens, Greece.
Joseph MeletiadisClinical Microbiology Laboratory, Attikon University General Hospital, Medical School, National and Kapodistrian University of Athens, Rimini 1, Chaidari, 12462, Athens, Greece. jmeletiadis@med.uoa.gr.ORCID http://orcid.org/0000-0002-8869-1509
National and Kapodistrian University of Athens · GREvangelismos Hospital · GRHippocration General Hospital · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Dynamiker

methodsA total of 60 adult hematology patients were screened for IA, 13 with probable IA, 19 with possible IA, and 28 with no IA. Serum specimens (n = 166) were collected twice-weekly and tested for (1-3)-β-D-glucan (BDG) using FA and DFA which were compared quantitatively with Spearman rank correlation analysis and qualitatively with the Chi-square test. Agreement and error rates were determined using FA as the reference method. Sensitivity, specificity, and positive predictive and negative predictive values in diagnosing IA were calculated.

resultsThe performance of the DFA was highly consistent with that of the FA, both quantitatively (r

conclusionDFA could be a valuable alternative to the FA, particularly in laboratories with small numbers of samples. The results of the BDG testing should be carefully interpreted in the high-risk setting of patients with hematologic malignancies. Higher NPV was found using as criterion ≥ 2 consecutive positive samples for diagnosing IA.

Indexed as

(1–3)-β-D-glucanDiagnosisDynamiker® Fungus assayHematology patientsInvasive aspergillosis

Identifiers

PMID35404009
PMCPMC9124273
OpenAlexW4223411923

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.