Evidence map›Paper›PMID 33409508›Full record

ArticleIEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference2017

Impedance-based detection of

Mario M Modena, Ketki Chawla, Flavio Lombardo, Sebastian C Bürgel, Gordana Panic, Jennifer Keiser, Andreas Hierlemann

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

Article in IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 85% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 2 institutions in 1 country.

Mario M ModenaETH Zurich, Dept. of Biosystems Science and Engineering, Bio Engineering Laboratory, Basel, Switzerland.
Ketki ChawlaETH Zurich, Dept. of Biosystems Science and Engineering, Bio Engineering Laboratory, Basel, Switzerland.
Flavio LombardoSwiss Tropical and Public Health Institute, Department of Medical Parasitology and Infection Biology, Basel, Switzerland.
Sebastian C BürgelETH Zurich, Dept. of Biosystems Science and Engineering, Bio Engineering Laboratory, Basel, Switzerland.
Gordana PanicSwiss Tropical and Public Health Institute, Department of Medical Parasitology and Infection Biology, Basel, Switzerland.
Jennifer KeiserSwiss Tropical and Public Health Institute, Department of Medical Parasitology and Infection Biology, Basel, Switzerland.
Andreas HierlemannETH Zurich, Dept. of Biosystems Science and Engineering, Bio Engineering Laboratory, Basel, Switzerland.
ETH Zurich · CHSwiss Tropical and Public Health Institute · CH

Funding

Swiss National Science Foundation 166329
6 · The paper itself

Abstract

Human schistosomiasis is a neglected tropical disease caused by trematodes, affecting almost 250 million people worldwide. For the past 30 years, treatment has relied on the large-scale administration of praziquantel. However, concerns regarding the appearance of drug-resistance parasites require efforts in identifying novel classes of suitable drugs against schistosomiasis. The current drug screening system is manual, slow and subjective. We present here a microfluidic platform capable of detecting changes in viability of

Indexed as

drug screeningimpedance analysisSchistosoma mansonischistosomiasis

Identifiers

PMID33409508
PMCPMC7116545
OpenAlexW2794589903

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.