Evidence map›Paper›PMID 36905017›Full record

ArticleSensors (Basel, Switzerland)2023

Characterization of a Novel Approach for Neonatal Hematocrit Screening Based on Penetration Velocity in Lateral Flow Test Strip.

Lorenzo Zucchini, Miloš Ajčević, Carlos Daniel Coda Zabetta, Chiara Greco, Cristina Fernetti, Carlo Moretto, Simone Pennini, Agostino Accardo

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Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Lorenzo ZucchiniDepartment of Engineering and Architecture, University of Trieste, 34127 Trieste, Italy.
Miloš AjčevićDepartment of Engineering and Architecture, University of Trieste, 34127 Trieste, Italy.ORCID 0000-0001-8307-4360
Carlos Daniel Coda ZabettaBilimetrix s.r.l., 34149 Trieste, Italy.
Chiara GrecoBilimetrix s.r.l., 34149 Trieste, Italy.
Cristina FernettiBilimetrix s.r.l., 34149 Trieste, Italy.
Carlo MorettoProdigys Technology s.r.l., 34149 Trieste, Italy.
Simone PenniniProdigys Technology s.r.l., 34149 Trieste, Italy.
Agostino AccardoDepartment of Engineering and Architecture, University of Trieste, 34127 Trieste, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematocrit (HCT) is a crucial parameter for both adult and pediatric patients, indicating potentially severe pathological conditions. Most common methods for HCT assessment are microhematocrit and automated analyzers; however, developing countries present specific needs often not addressed by these technologies. Paper-based devices can be suitable for those environments being inexpensive, rapid, easy to use, and portable. The aim of this study is to describe and validate against a reference method, a novel HCT estimation method based on penetration velocity in lateral flow test strips complying with the requirements in low- or middle-income country (LMIC) scenarios. To calibrate and test the proposed method, 145 blood samples of 105 healthy neonates with gestational age greater than 37 weeks were collected (29 calibration set, 116 test set) in the range of HCT values (31.6-72.5%). The time difference (Δt) from the whole blood sample loading into the test strip instant till the nitrocellulose membrane saturation instant was measured by a reflectance meter. A nonlinear relation was observed between HCT and Δt and was estimated by a third-degree polynomial equation (R

Indexed as

AlgorithmsAdultCalibrationChildHematocritHumansInfantInfant, Newbornhematocritlateral flowLMICsneonatal carepoint-of-care

Identifiers

PMID36905017
PMCPMC10006883

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Registered trials

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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.