Evidence map›Paper›PMID 34069128›Full record

Trial reportSensors (Basel, Switzerland)2021

Novel Conformal Skin Patch with Embedded Thin-Film Electrodes for Early Detection of Extravasation.

Ruiqi Lim, Ramona B Damalerio, Choon Looi Bong, Swee Kim Tan, Ming-Yuan Cheng

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Sensors (Basel, Switzerland), 2021. 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
1.9field-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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  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

5 authors at 2 institutions in 1 country.

Ruiqi LimInstitute of Microelectronics, A*STAR (Agency for Science, Technology and Research), Singapore 138634, Singapore.
Ramona B DamalerioInstitute of Microelectronics, A*STAR (Agency for Science, Technology and Research), Singapore 138634, Singapore.
Choon Looi BongKK Women's & Children's Hospital, Singapore 229899, Singapore.
Swee Kim TanKK Women's & Children's Hospital, Singapore 229899, Singapore.
Ming-Yuan ChengInstitute of Microelectronics, A*STAR (Agency for Science, Technology and Research), Singapore 138634, Singapore.ORCID 0000-0001-6322-1255
Agency for Science, Technology and Research · SGKK Women's and Children's Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extravasation is a complication of intravenous (IV) cannulation in which vesicant drugs leak from a vein into the surrounding subcutaneous tissue. The severity of extravasation depends on the type, concentration, and volume of drugs that accumulate in the subcutaneous tissue. Rapid detection of extravasation can facilitate prompt medical intervention, minimizing tissue damage, and preventing adverse events. In this study, we present two portable sensor patches, namely gold- and carbon-based sensing patches, for early detection of extravasation. The gold-based sensor patch detected extravasated fluid of volume as low as 2 mL in in vivo animal models and human clinical trials; the patch exhibited a resistance change of 41%. The carbon-based sensor patch exhibited a resistance change of 51% for 2 mL of extravasated fluid, and fabrication throughput and cost-effectiveness are superior for this patch compared with the gold-based sensing patch.

Indexed as

Extravasation of Diagnostic and Therapeutic MaterialsGoldAnimalsEarly DiagnosisElectrodesHumansGoldextravasationsmedicalnoninvasivesensorwearable

Identifiers

PMID34069128
PMCPMC8156920
OpenAlexW3162582760

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.