Evidence map›Paper›PMID 31847091›Full record

ArticleMicromachines2019

Impedance-Based Biosensing of

Craig Miller, Madison Stiglich, Mark Livingstone, Jordon Gilmore

Abstract read
In one paragraph

Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Craig MillerDepartment of Bioengineering, Clemson University, Clemson, SC 29634, USA.
Madison StiglichDepartment of Bioengineering, Clemson University, Clemson, SC 29634, USA.
Mark LivingstoneDepartment of Bioengineering, Clemson University, Clemson, SC 29634, USA.
Jordon GilmoreDepartment of Bioengineering, Clemson University, Clemson, SC 29634, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantifiable sensing of common microbes in chronic wounds has the potential to enable an objective assessment of wound healing for diagnostic applications. Sensing platforms should be robust, simple, and flexible to provide clinicians with a point-of-care tool. In this work, solution blow spun poly (lactic acid)/multiwalled carbon nanotube nanofiber composites are used to detect the presence and concentration of

Indexed as

impedancemagnitudephase anglesolution blow spinning

Identifiers

PMID31847091
PMCPMC6952954

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.