Evidence map›Paper›PMID 31426370›Full record

ReviewSensors (Basel, Switzerland)2019

Vein Pattern Locating Technology for Cannulation: A Review of the Low-Cost Vein Finder Prototypes Utilizing near Infrared (NIR) Light to Improve Peripheral Subcutaneous Vein Selection for Phlebotomy.

Cheng-Tang Pan, Mark D Francisco, Chung-Kun Yen, Shao-Yu Wang, Yow-Ling Shiue

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
–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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

5 authors.

Cheng-Tang PanDepartment of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University (NSYSU), Kaohsiung 80424, Taiwan.
Mark D FranciscoDepartment of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University (NSYSU), Kaohsiung 80424, Taiwan.
Chung-Kun YenDepartment of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University (NSYSU), Kaohsiung 80424, Taiwan.
Shao-Yu WangDepartment of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University (NSYSU), Kaohsiung 80424, Taiwan.ORCID 0000-0003-3676-0004
Yow-Ling ShiueInstitute of Biomedical Sciences, NSYSU, Kaohsiung 80424, Taiwan. shirley@imst.nsysu.edu.tw.ORCID 0000-0003-0798-5028

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most common means for diagnosis is through medical laboratory testing, which primarily uses venous blood as a sample. This requires an invasive method by cannulation that needs proper vein selection. The use of a vein finder would help the phlebotomist to easily locate the vein, preventing possible pre-analytical error in the specimen collection and even more discomfort and pain to the patient. This paper is a review of the scientific publications on the different developed low-cost vein finder prototypes utilizing camera assisted near infrared (NIR) light technology.

Indexed as

CatheterizationCost-Benefit AnalysisHumansPhlebotomySemiconductorsSpectroscopy, Near-InfraredVeinscannulationhemoglobin(IR) infrared(LED) light emitting diodephlebotomyvein findervenipuncture

Identifiers

PMID31426370
PMCPMC6719195

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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.