Evidence map›Paper›PMID 34502612›Full record

ArticleSensors (Basel, Switzerland)2021

Safe

Gerd Reis, Xiaoying Tan, Lea Kraft, Mehmet Yilmaz, Dominik Stephan Schoeb, Arkadiusz Miernik

Open access · goldAbstract read
In one paragraph

Article 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
0.7field-weighted citation impact, top 31% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 2 institutions in 1 country.

Gerd ReisDepartment Augmented Vision, German Research Center for Artificial Intelligence, 67663 Kaiserslautern, Germany.
Xiaoying TanDepartment Augmented Vision, German Research Center for Artificial Intelligence, 67663 Kaiserslautern, Germany.
Lea KraftMedical Centre, Department of Urology, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.
Mehmet YilmazMedical Centre, Department of Urology, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.
Dominik Stephan SchoebMedical Centre, Department of Urology, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.
Arkadiusz MiernikMedical Centre, Department of Urology, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.
University of Freiburg · DEGerman Research Centre for Artificial Intelligence · DE

Funding

Federal Ministry of Education and Research, Germany VISIMON 16SV7861K
6 · The paper itself

Abstract

We have developed a sensor for monitoring the hemoglobin (Hb) concentration in the effluent of a continuous bladder irrigation. The Hb concentration measurement is based on light absorption within a fixed measuring distance. The light frequency used is selected so that both arterial and venous Hb are equally detected. The sensor allows the measurement of the Hb concentration up to a maximum value of 3.2 g/dL (equivalent to ≈20% blood concentration). Since bubble formation in the outflow tract cannot be avoided with current irrigation systems, a neural network is implemented that can robustly detect air bubbles within the measurement section. The network considers both optical and temporal features and is able to effectively safeguard the measurement process. The sensor supports the use of different irrigants (salt and electrolyte-free solutions) as well as measurement through glass shielding. The sensor can be used in a non-invasive way with current irrigation systems. The sensor is positively tested in a clinical study.

Indexed as

Artificial IntelligenceHemoglobinsNeural Networks, ComputerUrinary BladderHemoglobinsabsorption near infraredartificial intelligencebladder irrigation monitorbubble detectionhemoglobin sensor

Identifiers

PMID34502612
PMCPMC8433749
OpenAlexW3198864544

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.