Evidence map›Paper›PMID 40979780›Full record

ArticleFrontiers in pain research (Lausanne, Switzerland)2025

A syringe-based digital algometer with a USB interface: a low-cost alternative to commercially available devices.

Stepan Frankevich, Aryeh Simmonds, Izhak Michaelevski, Daniel Yakubovich

Abstract read
In one paragraph

Article in Frontiers in pain research (Lausanne, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Stepan FrankevichDr. Miriam and Sheldon G. Adelson School of Medicine, Ariel University, Ariel, Israel.
Aryeh SimmondsLiniado Hospital, Netanya, Israel.
Izhak MichaelevskiDr. Miriam and Sheldon G. Adelson School of Medicine, Ariel University, Ariel, Israel.
Daniel YakubovichDr. Miriam and Sheldon G. Adelson School of Medicine, Ariel University, Ariel, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative pain assessment is important for effective pain management. Pain pressure threshold (PPT) and Pain Tolerance (PT) measured through pressure algometry offer valuable tools for quantitative evaluation of nociceptive stimuli. Low-cost algometers, described in literature require complex calibration and lack a digital interface, limiting real-time data acquisition and integration with electronic health record systems. In the current study, we developed a durable and accurate pressure algometer built on the base of a syringe, an Arduino microcontroller and an analog piezoelectric pressure sensor. The PPT values obtained with our device are in good correlation with data obtained utilizing commercially available digital and mechanical algometers. In addition, our device can be easily connected to a computer via a USB, allowing for convenient data storage and analysis. Our results demonstrate the accuracy and reliability of a novel algometry device constructed from readily available materials and requires minimal engineering and programming skills.

Indexed as

concurrent validitymicrocontrollerpainpain pressure thresholdpressure algometer

Identifiers

PMID40979780
PMCPMC12443797

What Socratic holds

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LicenceCC BY
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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 Socratic graph.