Evidence map›Paper›PMID 30423863›Full record

ArticleDiagnostics (Basel, Switzerland)2018

Innovative DendrisChips

Alice Senescau, Tatiana Kempowsky, Elodie Bernard, Sylvain Messier, Philippe Besse, Richard Fabre, Jean Marie François

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

Article in Diagnostics (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. The DendrisCHIPDiagnostics (Basel, Switzerland) · 2022
    Article
  7. Review
  8. 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

7 authors at 3 institutions in 1 country.

Alice SenescauDENDRIS SAS, F-31670 Labège, France. asenescau@dendris.fr.
Tatiana KempowskyDENDRIS SAS, F-31670 Labège, France. tkempowsky@dendris.fr.
Elodie BernardDENDRIS SAS, F-31670 Labège, France. ebernard@dendris.fr.
Sylvain MessierDENDRIS SAS, F-31670 Labège, France. messier_sylvain@yahoo.fr.
Philippe BesseDépartement Génie Mathématiques et Modélisation, Fédérale Université of Toulouse, F-31077 Toulouse, France. philippe.besse@insa-toulouse.fr.
Richard FabreBIOPOLE, 2, F-31670 Labège, France. richard.fabre@biopole.fr.
Jean Marie FrançoisLISBP, Fédérale Université de Toulouse, CNRS, INRA, INSA, F-31077 Toulouse, France. fran_jm@insa-toulouse.fr.ORCID 0000-0001-9884-5535
Dendris (France) · FRCentre National de la Recherche Scientifique · FRUniversité Fédérale de Toulouse Midi-Pyrénées · FR

Funding

Agence Nationale de la Recherche ANR-10-BIOT-0004
6 · The paper itself

Abstract

Clinical microbiology is experiencing the emergence of the syndromic approach of diagnosis. This paradigm shift will require innovative technologies to detect rapidly, and in a single sample, multiple pathogens associated with an infectious disease. Here, we report on a multiplex technology based on DNA-microarray that allows detecting and discriminating 11 bacteria implicated in respiratory tract infection. The process requires a PCR amplification of bacterial 16S rDNA, a 30 min hybridization step on species-specific oligoprobes covalently linked on dendrimers coated glass slides (DendriChips

Indexed as

biochipsdendrimerDNAin vitro diagnostic (IVD)machine-learning methodsPCRsyndromic approach

Identifiers

PMID30423863
PMCPMC6316573
OpenAlexW2900063549

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.