Evidence map›Paper›PMID 28553936›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2017

Microfluidics for rapid cytokeratin immunohistochemical staining in frozen sections.

Saska Brajkovic, Diego G Dupouy, Laurence de Leval, Martin Am Gijs

Open access · bronzeAbstract read
In one paragraph

Article in Laboratory investigation; a journal of technical methods and pathology, 2017. 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
2.0field-weighted citation impact, top 14% 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, 15 citations in OpenAlex.

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  4. Heliyon · 2020
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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

4 authors at 2 institutions in 1 country.

Saska BrajkovicLaboratory of Microsystems, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Diego G DupouyLaboratory of Microsystems, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Laurence de LevalInstitute of Pathology, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland.
Martin Am GijsLaboratory of Microsystems, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
École Polytechnique Fédérale de Lausanne · CHUniversity Hospital of Lausanne · CH

Funding

European Research Council 320404European Research Council 662449
6 · The paper itself

Abstract

Frozen sections (FS) of tumor samples represent a cornerstone of pathological intraoperative consultation and have an important role in the microscopic analysis of specimens during surgery. So far, immunohistochemical (IHC) stainings on FS have been demonstrated for a few markers using manual methods. Microfluidic technologies have proven to bring substantial improvement in many fields of diagnostics, though only a few microfluidic devices have been designed to improve the performance of IHC assays. In this work, we show optimization of a complete pan-cytokeratin chromogenic immunostaining protocol on FS using a microfluidic tissue processor into a protocol taking <12 min. Our results showed specificity and low levels of background. The dimensions of the microfluidic prototype device are compatible with the space constraints of an intraoperative pathology laboratory. We therefore anticipate that the adoption of microfluidic technologies in the field of surgical pathology can significantly improve the way FSs influence surgical procedures.

Indexed as

BreastColoring AgentsEquipment DesignFemaleHumansImmunohistochemistryKeratinsMaleMicrofluidic Analytical TechniquesNeoplasmsProstateUreterColoring AgentsKeratins

Identifiers

PMID28553936
PMCPMC5533214
OpenAlexW2619956917

What OpenQuestion holds

Textmetadata
LicenceTDM
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.